{"id":1424,"date":"2026-05-24T15:29:25","date_gmt":"2026-05-24T15:29:25","guid":{"rendered":"https:\/\/lean-app.com\/?p=1424"},"modified":"2026-05-24T17:57:36","modified_gmt":"2026-05-24T17:57:36","slug":"lean-vs-fatsecret","status":"publish","type":"post","link":"https:\/\/lean-app.com\/en\/lean-vs-fatsecret\/","title":{"rendered":"Lean vs FatSecret: Premium precision vs the free community database"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" fetchpriority=\"low\">\n\n\n<script data-wpmeteor-nooptimize=\"true\" src=\"https:\/\/cdn.jsdelivr.net\/npm\/chart.js@4.4.4\/dist\/chart.umd.min.js\"><\/script>\n<script data-wpmeteor-nooptimize=\"true\" src=\"https:\/\/cdn.jsdelivr.net\/npm\/chartjs-plugin-annotation@3.1.0\/dist\/chartjs-plugin-annotation.min.js\"><\/script>\n<style id=\"lvm-shell-styles\">#lvm-shell{\n  --bg:#FFFFFF; --paper:#F7F6F2; --paper-2:#F1EFE7;\n  --ink:#0E0E10; --ink-2:#1D1D1F; --muted:#6E6E73; --dim:#86868B;\n  --rule:#E8E6DF; --rule-soft:#EFEDE5;\n  --pink:#FF2D6E; --pink-soft:rgba(255,45,110,0.06);\n  --mfp:#A8A192;\n  --green:#0F8F5C; --red:#D02E2E; --amber:#C8A019;\n  --font-display:-apple-system,\"SF Pro Display\",system-ui,\"Helvetica Neue\",sans-serif;\n  --font-text:-apple-system,\"SF Pro Text\",system-ui,sans-serif;\n  --font-mono:ui-monospace,\"SF Mono\",Menlo,Consolas,monospace;\n}\n#lvm-shell *{box-sizing:border-box;-webkit-text-size-adjust:100%}\n#lvm-shell, #lvm-shell{margin:0;padding:0;background:var(--bg);color:var(--ink-2);font-family:var(--font-text);font-size:17px;line-height:1.7;-webkit-font-smoothing:antialiased}\n#lvm-shell ::selection{background:rgba(255,45,110,0.18);color:var(--ink)}\n#lvm-shell img{max-width:100%;display:block}\n#lvm-shell a{color:inherit}\n\n#lvm-shell .progress{position:fixed;top:0;left:0;right:0;height:2px;background:transparent;z-index:1000}\n#lvm-shell .progress > i{display:block;height:100%;width:100%;background:var(--pink);transform-origin:0 50%;transform:scaleX(0);transition:transform .05s linear}\n\n#lvm-shell .nav{position:sticky;top:0;z-index:50;background:rgba(255,255,255,.86);backdrop-filter:saturate(180%) blur(14px);-webkit-backdrop-filter:saturate(180%) blur(14px);border-bottom:1px solid var(--rule)}\n#lvm-shell .nav-row{max-width:1160px;margin:0 auto;display:flex;align-items:center;gap:14px;padding:10px 22px}\n#lvm-shell .nav-brand{display:flex;align-items:center;gap:9px;text-decoration:none;color:var(--ink)}\n#lvm-shell .nav-brand img{width:28px;height:28px;border-radius:7px;object-fit:cover}\n#lvm-shell .nav-brand span{font-family:var(--font-display);font-weight:600;font-size:18px;letter-spacing:-.01em}\n#lvm-shell .nav-spacer{flex:1}\n#lvm-shell .nav-link{color:var(--muted);text-decoration:none;font-size:14px}\n#lvm-shell .nav-link:hover{color:var(--ink)}\n#lvm-shell .nav-stores{display:flex;gap:6px;align-items:center}\n#lvm-shell .nav-stores a{display:block;line-height:0}\n#lvm-shell .nav-stores img{height:28px;width:auto;border-radius:5px;transition:transform .15s}\n#lvm-shell .nav-stores a:hover img{transform:translateY(-1px)}\n\n#lvm-shell .wrap{max-width:760px;margin:0 auto;padding:0 28px}\n\n#lvm-shell .hero{padding:54px 0 0}\n#lvm-shell .crumb{font-size:13px;color:var(--muted);margin-bottom:18px}\n#lvm-shell .crumb a{text-decoration:none;color:var(--muted)}\n#lvm-shell .crumb a:hover{color:var(--ink)}\n#lvm-shell .eyebrow{font-family:var(--font-mono);font-size:12px;font-weight:500;text-transform:uppercase;letter-spacing:.06em;color:var(--pink);margin-bottom:18px}\n#lvm-shell h1{font-family:var(--font-display);font-weight:600;font-size:72px;line-height:1.0;letter-spacing:-.04em;color:var(--ink);margin:0 0 22px}\n#lvm-shell h1 .alt{display:block;font-weight:500;color:var(--muted);font-size:.66em;line-height:1.15;margin-top:14px;letter-spacing:-.03em}\n#lvm-shell .dek{font-family:var(--font-display);font-size:24px;line-height:1.4;font-weight:400;color:var(--ink-2);letter-spacing:-.015em;margin:0 0 22px;max-width:680px}\n\n#lvm-shell .byline{display:flex;align-items:center;gap:10px;font-size:14px;color:var(--muted);margin-bottom:14px}\n#lvm-shell .byline .by-logo{width:26px;height:26px;border-radius:6px;object-fit:cover;flex-shrink:0;background:transparent;border:0}\n#lvm-shell .byline strong{color:var(--ink);font-weight:600;font-family:var(--font-display)}\n\n#lvm-shell .hero-stores{display:flex;gap:10px;margin:22px 0 18px;flex-wrap:wrap;align-items:center}\n#lvm-shell .hero-stores a{display:block;line-height:0;transition:transform .15s}\n#lvm-shell .hero-stores a:hover{transform:translateY(-2px)}\n#lvm-shell .hero-stores img{height:46px;width:auto;border-radius:9px}\n#lvm-shell .hero-stores .or{font-size:13px;color:var(--muted)}\n\n#lvm-shell .hero-bottom{display:grid;grid-template-columns:1.3fr 1fr;gap:48px;align-items:center;margin:38px 0 60px;padding-top:28px;border-top:1px solid var(--rule-soft)}\n#lvm-shell .hero-lead{font-family:var(--font-display);font-size:21px;line-height:1.5;color:var(--ink-2);font-weight:400}\n\n#lvm-shell .phone-wrap{display:flex;justify-content:center}\n#lvm-shell .phone{\n  position:relative;\n  width:280px;\n  background:linear-gradient(145deg,#2a2a2a,#0e0e0e);\n  border-radius:42px;\n  padding:5px;\n  border:1.5px solid rgba(255,255,255,.07);\n  box-shadow:0 30px 60px rgba(0,0,0,.18), 0 2px 6px rgba(0,0,0,.08);\n}\n#lvm-shell .phone .notch{\n  position:absolute;top:0;left:50%;transform:translateX(-50%);\n  width:96px;height:24px;background:#0a0a0a;border-radius:0 0 16px 16px;z-index:10;\n}\n#lvm-shell .phone-screen{\n  position:relative;\n  border-radius:34px;overflow:hidden;\n  background:#FAF0E6;\n  aspect-ratio:9\/19.5;\n}\n#lvm-shell .phone-screen img{\n  width:100%;height:100%;object-fit:cover;display:block;\n  transition:opacity .28s ease;\n}\n#lvm-shell .phone-zones{position:absolute;inset:0;z-index:15;pointer-events:none}\n#lvm-shell .phone-zones .z{position:absolute;left:4%;right:4%;cursor:pointer;background:transparent;border:0;padding:0;pointer-events:auto}\n#lvm-shell .phone-zones .z:focus-visible{outline:2px solid var(--pink);outline-offset:-4px;border-radius:6px}\n#lvm-shell .phone-navbar{position:absolute;left:0;right:0;bottom:0;height:9%;z-index:16;display:grid;grid-template-columns:repeat(4,1fr)}\n#lvm-shell .phone-navbar button{background:transparent;border:0;padding:0;cursor:pointer}\n#lvm-shell .phone-navbar button:focus-visible{outline:2px solid var(--pink);outline-offset:-3px;border-radius:6px}\n#lvm-shell .phone-back{\n  position:absolute;top:10px;left:10px;z-index:20;\n  width:30px;height:30px;border-radius:50%;\n  border:0;background:rgba(255,255,255,.78);backdrop-filter:blur(8px);\n  color:var(--ink);font-size:18px;font-weight:600;line-height:1;cursor:pointer;\n  display:none;align-items:center;justify-content:center;\n  box-shadow:0 2px 6px rgba(0,0,0,.12);\n}\n#lvm-shell .phone-back.on{display:flex}\n\n#lvm-shell .phone-cap{margin-top:14px;text-align:center;font-size:12px;color:var(--muted);font-family:var(--font-mono);text-transform:uppercase;letter-spacing:.06em}\n#lvm-shell .phone-stage{position:relative}\n#lvm-shell .tap-hint{position:absolute;z-index:30;pointer-events:none;animation:hintFloat 2.6s ease-in-out infinite}\n#lvm-shell .tap-hint .th-pill{display:inline-block;font-family:var(--font-display);font-size:15px;font-weight:600;color:#fff;line-height:1.25;letter-spacing:-.005em;background:var(--pink);padding:10px 16px;border-radius:14px;box-shadow:0 14px 32px rgba(255,45,110,.32);white-space:nowrap}\n#lvm-shell .tap-hint .th-pill small{display:block;font-size:11px;font-weight:500;color:rgba(255,255,255,.85);text-transform:uppercase;letter-spacing:.08em;margin-bottom:3px}\n#lvm-shell .tap-hint .th-arrow{position:absolute;color:var(--pink)}\n#lvm-shell .tap-hint.desktop{left:-204px;top:4px;text-align:right}\n#lvm-shell .tap-hint.desktop .th-arrow{right:-86px;top:58px;width:104px;height:34px;transform:none}\n#lvm-shell .tap-hint.mobile{display:none}\n#lvm-shell .tap-hint.hidden{opacity:0;transform:translateY(-6px);transition:opacity .35s ease, transform .35s ease;animation:none}\n@keyframes hintFloat{\n  0%, 100%{transform:translateY(0)}\n  50%{transform:translateY(-7px)}\n}\n@media (prefers-reduced-motion:reduce){#lvm-shell .tap-hint{animation:none}}\n#lvm-shell .phone-tabs{display:flex;justify-content:center;gap:8px;margin-top:10px;flex-wrap:nowrap}\n#lvm-shell .phone-tabs button{\n  background:transparent;border:1px solid var(--rule);color:var(--muted);\n  padding:6px 11px;border-radius:999px;font-size:11px;cursor:pointer;\n  font-family:var(--font-text);transition:all .15s;white-space:nowrap;\n}\n#lvm-shell .phone-tabs button:hover{color:var(--ink);border-color:var(--ink)}\n#lvm-shell .phone-tabs button.on{background:var(--ink);color:#fff;border-color:var(--ink)}\n\n#lvm-shell .snippet{background:var(--paper);border-radius:18px;padding:30px 32px;margin:48px 0 0;border:1px solid var(--rule-soft)}\n#lvm-shell .snippet .lbl{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);margin-bottom:14px}\n#lvm-shell .snippet p{margin:0;font-family:var(--font-display);font-size:21px;line-height:1.45;color:var(--ink);font-weight:500;letter-spacing:-.012em}\n\n#lvm-shell section{padding:64px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell section:last-of-type{border-bottom:0}\n#lvm-shell .section-label{display:flex;align-items:center;gap:14px;margin-bottom:30px}\n#lvm-shell .section-label .bar{width:24px;height:1px;background:var(--pink)}\n#lvm-shell .section-label .num{font-family:var(--font-mono);font-size:12px;font-weight:500;text-transform:uppercase;letter-spacing:.06em;color:var(--pink)}\n#lvm-shell h2{font-family:var(--font-display);font-weight:600;font-size:48px;line-height:1.05;letter-spacing:-.035em;color:var(--ink);margin:0 0 24px}\n#lvm-shell h3{font-family:var(--font-display);font-weight:600;font-size:32px;line-height:1.15;letter-spacing:-.025em;color:var(--ink);margin:36px 0 16px}\n#lvm-shell h4{font-family:var(--font-display);font-weight:500;font-size:20px;line-height:1.3;letter-spacing:-.015em;color:var(--ink);margin:24px 0 10px}\n#lvm-shell p{margin:0 0 22px;color:var(--ink-2)}\n#lvm-shell strong{color:var(--ink);font-weight:600}\n#lvm-shell ul, #lvm-shell ol{margin:0 0 22px;padding-left:22px;color:var(--ink-2)}\n#lvm-shell li{margin-bottom:8px}\n#lvm-shell a.inline{color:var(--pink);text-decoration:underline;text-decoration-thickness:1px;text-underline-offset:3px}\n#lvm-shell a.inline:hover{text-decoration-thickness:2px}\n\n#lvm-shell .statement{margin:48px 0;padding:32px 0;border-top:1px solid var(--rule);border-bottom:1px solid var(--rule);text-align:left}\n#lvm-shell .statement .num{font-family:var(--font-display);font-size:60px;font-weight:600;line-height:1;letter-spacing:-.04em;color:var(--pink);margin-bottom:14px}\n#lvm-shell .statement .lbl{font-family:var(--font-display);font-size:23px;line-height:1.35;font-weight:500;color:var(--ink);letter-spacing:-.012em}\n\n#lvm-shell .fig{margin:32px 0 18px;background:#fff;border:1px solid var(--rule);border-radius:20px;padding:28px 22px 20px;position:relative;overflow:hidden}\n#lvm-shell .fig-head{display:flex;justify-content:space-between;align-items:baseline;margin-bottom:18px}\n#lvm-shell .fig-head .l{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .fig-head .r{font-family:var(--font-mono);font-size:11px;font-weight:600;color:var(--ink);text-transform:uppercase;letter-spacing:.08em}\n#lvm-shell .fig-body{position:relative}\n#lvm-shell .fig-cap{margin:18px 4px 0;font-size:14px;color:var(--muted);line-height:1.5}\n#lvm-shell .fig-cap strong{color:var(--ink);font-weight:600}\n#lvm-shell .cv-wrap{position:relative;height:360px}\n\n#lvm-shell [data-term]{position:relative;cursor:help;border-bottom:1px dotted var(--dim)}\n#lvm-shell [data-term]:hover{color:var(--ink)}\n#lvm-shell .tt{position:absolute;left:50%;bottom:calc(100% + 12px);transform:translateX(-50%);min-width:200px;max-width:300px;background:#0c0c0c;color:#fff;font-size:13px;line-height:1.45;padding:11px 14px;border-radius:10px;box-shadow:0 12px 36px rgba(0,0,0,.32);opacity:0;visibility:hidden;transition:opacity .15s, visibility .15s;z-index:120;pointer-events:none;font-weight:400;font-family:var(--font-text)}\n#lvm-shell .tt::after{content:\"\";position:absolute;top:100%;left:50%;transform:translateX(-50%);border:6px solid transparent;border-top-color:#0c0c0c}\n#lvm-shell [data-term]:hover .tt, #lvm-shell [data-term]:focus .tt{opacity:1;visibility:visible}\n\n#lvm-shell .table{margin:24px 0;border:1px solid var(--rule);border-radius:16px;overflow:hidden;background:#fff}\n#lvm-shell .table-row{display:grid;grid-template-columns:1.55fr 1fr 1fr;border-bottom:1px solid var(--rule-soft);min-height:60px}\n#lvm-shell .table-row:last-child{border-bottom:0}\n#lvm-shell .table-row.head{background:var(--ink);color:#fff;border-bottom:0}\n#lvm-shell .table-row.head > div{padding:18px 18px;display:flex;align-items:center;gap:10px;font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.07em}\n#lvm-shell .table-row.head .brand-cell{justify-content:flex-start}\n#lvm-shell .table-row.head .brand-cell img{width:24px;height:24px;border-radius:6px;background:#fff;object-fit:cover}\n#lvm-shell .table-row.head .brand-cell.lean{color:#FFB8CE}\n#lvm-shell .table-row > .crit{padding:16px 18px;font-size:14px;color:var(--ink);font-weight:500;display:flex;align-items:center;border-right:1px solid var(--rule-soft)}\n#lvm-shell .table-row > .cell{padding:16px 14px;font-size:13px;line-height:1.45;color:var(--ink-2);display:flex;align-items:center;gap:10px;border-right:1px solid var(--rule-soft)}\n#lvm-shell .table-row > .cell:last-child{border-right:0}\n#lvm-shell .table-row > .cell.lean{background:var(--pink-soft);position:relative}\n#lvm-shell .table-row > .cell.lean::before{content:\"\";position:absolute;left:0;top:0;bottom:0;width:2px;background:var(--pink)}\n#lvm-shell .icn{width:18px;height:18px;border-radius:50%;display:inline-flex;align-items:center;justify-content:center;flex-shrink:0;font-size:13px;font-weight:600;color:#fff}\n#lvm-shell .icn.ok{background:var(--green)}\n#lvm-shell .icn.no{background:var(--red)}\n#lvm-shell .icn.mid{background:var(--amber)}\n#lvm-shell .icn svg{width:11px;height:11px}\n\n#lvm-shell .mini-row{display:grid;grid-template-columns:repeat(3,1fr);gap:22px;margin:28px 0}\n#lvm-shell .mini-phone{position:relative;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);border-radius:22px;padding:3px;border:1px solid rgba(255,255,255,.05);box-shadow:0 14px 32px rgba(0,0,0,.16);max-width:160px;margin:0 auto;width:100%}\n#lvm-shell .mini-phone .notch{position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5}\n#lvm-shell .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .mini-phone .scr img{width:100%;height:100%;object-fit:cover}\n#lvm-shell .mini-phone.tiny{max-width:148px;padding:2px;border-radius:20px;border-width:1px}\n#lvm-shell .mini-phone.tiny .notch{width:30px;height:8px;border-radius:0 0 5px 5px}\n#lvm-shell .mini-phone.tiny .scr{border-radius:17px}\n#lvm-shell .mini-cap{text-align:center;margin-top:12px;font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.07em;color:var(--muted)}\n#lvm-shell .mini-cap strong{display:block;color:var(--ink);margin-top:4px;font-family:var(--font-display);font-size:14px;font-weight:500;letter-spacing:-.01em;text-transform:none}\n\n#lvm-shell .duo-row{display:grid;grid-template-columns:repeat(2,1fr);gap:20px;margin:18px 0 0}\n#lvm-shell .duo-row .mini-phone{max-width:180px}\n\n#lvm-shell .method{display:grid;grid-template-columns:1fr 1.4fr;gap:36px;align-items:center;margin:42px 0}\n#lvm-shell .method.flip{grid-template-columns:1.4fr 1fr}\n#lvm-shell .method.flip .m-phone{order:2}\n#lvm-shell .method .m-tag{font-family:var(--font-mono);font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);margin-bottom:8px}\n#lvm-shell .method h3{margin-top:0}\n#lvm-shell .method p{font-size:16px;color:var(--muted);line-height:1.7}\n\n#lvm-shell .cta-band{margin:40px 0;padding:26px 28px;background:var(--paper);border-radius:16px;display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;border:1px solid var(--rule-soft)}\n#lvm-shell .cta-band .l{font-family:var(--font-display);font-size:18px;line-height:1.35;font-weight:500;color:var(--ink);flex:1;min-width:240px;letter-spacing:-.01em}\n#lvm-shell .cta-band .stores{display:flex;gap:10px;align-items:center}\n#lvm-shell .cta-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .cta-band .stores a:hover{transform:translateY(-2px)}\n#lvm-shell .cta-band .stores img{height:42px;width:auto;border-radius:9px}\n\n#lvm-shell .pyramid{margin:30px auto;max-width:440px}\n#lvm-shell .pyramid .level{margin:6px auto;padding:13px 18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1424 #lvm-shell .hero{display:block!important;align-items:initial!important;justify-content:initial!important;text-align:left!important;flex-direction:initial!important;padding:54px 0 0!important}\nbody.postid-1424 #lvm-shell .wrap,\nbody.postid-1424 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important}\n@media (max-width:820px){\n  body.postid-1424 #lvm-shell .wrap,\n  body.postid-1424 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1424 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1424 #lvm-shell *{max-width:100%}\nbody.postid-1424 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1424 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1424 #lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\nbody.postid-1424 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\n  body.postid-1424 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-1424 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1424 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1424 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1424 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1424 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1424 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1424 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1424 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1424 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1424 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1424 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1424 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1424 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1424 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1424 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1424 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1424 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1424 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1424 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1424 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1424 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1424 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1424 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1424 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1424 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1424 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1424 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1424 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"FATSECRET\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#2E7BE5!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1424 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS partie 7 (triplet NEAT\/EAT\/TEF) === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1424 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1424 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1424 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1424 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1424 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1424 #lvm-shell .mini-cap strong{font-size:12px!important;margin-top:2px!important}\n}\n\n\/* === MOCKUP TAP HINT MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .tap-hint.mobile{position:relative!important;width:100%!important;left:auto!important;top:auto!important;text-align:center!important;margin:0 auto 14px!important;display:block!important}\n  body.postid-1424 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1424 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1424 #lvm-shell .bodyscan-illust{margin:40px auto 8px!important;display:flex!important;flex-direction:column!important;align-items:center!important;gap:14px!important;max-width:220px!important}\nbody.postid-1424 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1424 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1424 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1424 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1424 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1424 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n\n\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/en\/\" aria-label=\"Lean home\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/en\/tdee-calculator\/\">TDEE Calculator<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download on the App Store\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Get it on Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/en\/\">Home<\/a> &nbsp;\/&nbsp; Lean vs FatSecret<\/div>\n  <div class=\"eyebrow\">Comparison &middot; Nutrition &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean versus FatSecret.\n    <span class=\"alt\">Premium precision versus the free community database.<\/span>\n  <\/h1>\n  <p class=\"dek\">FatSecret is free and has a big community. Lean sees your real expenditure on an official database. Two promises that don&rsquo;t play on the same field.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>The Lean team<\/strong> &middot; 12&nbsp;min read &middot; Updated May 24, 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Free download<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      FatSecret is known for its 100% free, ad-supported model, its very large active community, and its multi-country coverage. It&rsquo;s a massive food log, present in more than 50 countries. But its TDEE formula remains Mifflin-St Jeor 1990, plus a static activity factor you tick once at sign-up (sedentary, lightly active, active, very active, extremely active). No real bodyfat measured inside the app, no metabolic adaptation. Its food database is crowdsourced, with documented accuracy gaps.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interactive demo<\/small>Tap the screen to explore the app<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interactive demo<\/small>Tap the screen<br>to explore the app<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Preview of the Lean app with TDEE drill-down\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Back\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean preview, Expenditure tab\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"BMR detail\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT detail\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT detail\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF detail\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Summary tab\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Calories tab\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Expenditure tab\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Strategy tab\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navigate the Lean app\">\n          <button data-tab=\"bilan\"     type=\"button\">Overview<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calories<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Expenditure<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategy<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Quick answer<\/div>\n    <p>FatSecret calculates your TDEE with Mifflin-St Jeor 1990 (no bodyfat measured inside the app) and a static activity factor chosen at sign-up from 5 boxes (sedentary, lightly active, active, very active, extremely active). The real strength of FatSecret is elsewhere: a 100% free, ad-supported model, a large active community, meal and recipe sharing, presence in more than 50 countries. Lean takes a different stance: recalculate every component of TDEE (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energy expended at rest. In Lean, calculated on actual lean mass via BodyScan AI.<\/span><\/span> on real bodyfat via a patented proprietary model, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Expenditure from steps and daily activities outside of sport.<\/span><\/span> from steps, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Expenditure from your sport sessions, calculated via MET.<\/span><\/span> via MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energy spent on digestion. Depends on the macros you eat.<\/span><\/span> by macros) and modulate the BMR through metabolic adaptation continuously, with a food database backed by USDA and OpenFoodFacts.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; The reality<\/span><\/div>\n  <h2 id=\"constat\">FatSecret gives you free access, not the accuracy of your expenditure<\/h2>\n  <p>If you&rsquo;re reading this, you&rsquo;ve probably already installed FatSecret. You chose this app precisely for what it sells best: a 100% free food log, a large community that shares meals and recipes, broad multi-country coverage. You entered your weight, your height, your age, your sex, and picked your activity factor from a static list (sedentary, lightly active, active, very active, extremely active). The app showed you a calorie target, say 2,250&nbsp;kcal to lose weight.<\/p>\n  <p>You scanned barcodes, added foods by searching the database, copied recipes shared by other users. For the first 6 weeks, it works. You lose. You&rsquo;re glad you didn&rsquo;t pay anything. Then around week 8, the scale freezes. You tighten the screws. You drop to 2,000&nbsp;kcal. Still nothing moves.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">&minus;10 to &minus;15&nbsp;%<\/div>\n    <div class=\"lbl\">of measured TDEE decline after 4 to 6 weeks of a &minus;500&nbsp;kcal\/day deficit. FatSecret doesn&rsquo;t detect it. Your calorie target stays frozen on your activity factor from 100&nbsp;days ago.<\/div>\n  <\/div>\n\n  <p>Imagine FatSecret shows you a TDEE of 2,500&nbsp;kcal. You eat 2,250 (theoretical deficit of 250&nbsp;kcal). But in reality, your <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/total-daily-energy-expenditure-tdee\/\">TDEE has dropped to 2,200&nbsp;kcal<\/a> due to metabolic adaptation. You&rsquo;re in a 50&nbsp;kcal surplus without knowing it. No chance to keep losing, even with diligent tracking in your community log.<\/p>\n  <p>The FatSecret promise is clear and delivered: you get free access to a food log, to a community, to a database covering dozens of countries. It&rsquo;s valuable when you start out and don&rsquo;t want to pay anything. What FatSecret doesn&rsquo;t do is <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/comment-compter-ses-calories\/\">recompute your expenditure<\/a> across weeks of deficit, nor guarantee that the food database entered by the community is accurate to the gram. And that&rsquo;s exactly where the &laquo;&nbsp;free calorie tracker&nbsp;&raquo; promise stops, while it&rsquo;s the lever that actually drives weight loss.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p1\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Problem 1<\/span><\/div>\n  <h2 id=\"p1\">The 1990 BMR formula, with no bodyfat measured in the app<\/h2>\n  <p>To calculate your basal metabolic rate (the BMR, the energy you burn at rest), FatSecret uses the Mifflin-St Jeor equation. It&rsquo;s the canonical formula of most mainstream calorie trackers, and to be fair: it&rsquo;s better than the Harris-Benedict 1919 that some other apps still use.<\/p>\n  <p>Mifflin-St Jeor dates from 1990. The sample is larger (498 subjects), the indirect calorimetry methodology is more precise, the formula is calibrated on a more modern population. FatSecret applies the official formula: 10 \u00d7 weight (kg) + 6.25 \u00d7 height (cm) &minus; 5 \u00d7 age &minus; 161 (women) or +5 (men).<\/p>\n  <p>Unlike some competitors that offer an advanced Katch-McArdle equation as an option (based on lean mass), <strong>FatSecret offers no lean-mass fallback<\/strong>. No manual bodyfat input, no Katch-McArdle computation, no DEXA input. You are locked into Mifflin by default, period. The consequence is mechanical: two users at the same weight but with 10 and 30 percent bodyfat get <strong>the same FatSecret BMR<\/strong>, whereas their real expenditure can differ by 400 to 500 kcal per day.<\/p>\n  <p>Mifflin (1990) marginally improves on Harris-Benedict (1919) for average accuracy, but inherits the same conceptual flaw: <strong>the formula only accounts for weight. Not bodyfat. Not lean mass.<\/strong><\/p>\n  <p>Yet since the 1980s, we've known that <strong>fat mass burns very little energy<\/strong> compared to the rest of the body. The liver, brain, heart, kidneys, and especially muscles are the real energy sinks. Fat mass is inert. Someone at 30% bodyfat does not burn anywhere near as much as someone at 10% bodyfat, even at identical weight.<\/p>\n  <p>Frankenfield 2013 (PubMed 23631843) compared Mifflin-St Jeor to reference indirect calorimetry across obese and non-obese cohorts. Result: 87&nbsp;% accuracy in non-obese subjects, and only <strong>75&nbsp;% in obese subjects<\/strong>. A more recent study (PMC11820646) shows that for BMIs above 35, Mifflin is off by <strong>250 to 315&nbsp;kcal per day<\/strong>. That&rsquo;s a full snack&rsquo;s worth of error in your deficit calculation.<\/p>\n\n  <p style=\"margin-bottom:8px\"><strong>Worked example.<\/strong> Man of 1.80&nbsp;m, 120&nbsp;kg, 30&nbsp;% bodyfat&nbsp;:<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figure 1<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartBMR\" aria-label=\"BMR comparison: Mifflin-St Jeor 2500 kcal vs Lean patented proprietary model 2000 kcal, 500 kcal gap\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Estimated BMR<\/strong> for a man at 1.80m, 120&nbsp;kg, 30&nbsp;% bodyfat. The patented proprietary Lean model accounts for lean mass. Mifflin-St Jeor (FatSecret by default, with no lean-mass option), doesn&rsquo;t. A 500&nbsp;kcal gap, the equivalent of a full lunch.<\/p>\n  <\/div>\n\n  <p>500&nbsp;kcal is not nothing. If FatSecret tells you &laquo;&nbsp;your BMR is 2,500&nbsp;&raquo; and in reality it&rsquo;s 2,000, everything that follows is wrong: your deficit target, your projected weekly loss, your macro split calculated as a percentage of TDEE.<\/p>\n\n  <div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:200px\">\n    <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Real bodyfat<strong>Photo, 5 seconds<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400 kcal<\/div>\n    <div class=\"lbl\">gap between two men at 80&nbsp;kg, one at 10&nbsp;% bodyfat (BMR 1,900), the other at 30&nbsp;% (BMR 1,500). FatSecret gives them the same number, with no lean-mass option.<\/div>\n  <\/div>\n\n  <p>Partial conclusion: if an app computes your BMR using only your weight, height, age and sex, the result cannot be individualized. It&rsquo;s mathematically impossible.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p2\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Problem 2<\/span><\/div>\n  <h2 id=\"p2\">The activity factor, picked once and for all, and the crowdsourced database<\/h2>\n  <p>This is where it gets serious. And it&rsquo;s probably the point nobody ever explained to you.<\/p>\n  <p>Once FatSecret has calculated your BMR (without bodyfat measured inside the app), it has to estimate your total TDEE. The <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/total-daily-energy-expenditure-tdee\/\">TDEE is BMR plus everything else<\/a> : expenditure from steps, daily activities, sport, and digestion. Everything that isn't basal metabolism.<\/p>\n  <p>How does FatSecret do that? It asks you, only once at sign-up, to pick your activity factor from a static list of 5 boxes. In sports science these factors are called <strong>PAL levels<\/strong> (Physical Activity Level), it&rsquo;s just a multiplier applied to your BMR:<\/p>\n  <ul>\n    <li>Sedentary (PAL 1.2): desk job, little walking<\/li>\n    <li>Lightly Active (PAL 1.375): occasional walking, little sport<\/li>\n    <li>Active (PAL 1.55): regular walking, sport 3 to 5 times per week<\/li>\n    <li>Very Active (PAL 1.725): intense sport almost daily<\/li>\n    <li>Extremely Active (PAL 1.9): very intense sport or heavy physical work<\/li>\n  <\/ul>\n  <p>And depending on your choice, the app multiplies your BMR by the matching coefficient. That's it. That's all there is behind your daily calorie target. A box YOU ticked only once at signup. Often six months ago. Untouched since.<\/p>\n  <p>And here&rsquo;s the silent trap: this approximation is <strong>wildly imperfect<\/strong>. The difference between a day stuck on the couch watching Netflix and a day at Disneyland walking 15&nbsp;km with your kids <strong>over 1,000 kcal<\/strong>. None of the 5 boxes captures that.<\/p>\n  <p>FatSecret syncs well with Apple Health and Google Fit, and captures your steps. An exercise calorie add-on can be added to the daily calorie target when the app detects a session. But those steps don&rsquo;t feed a recomputation of the full TDEE: your calorie target remains based on the activity factor picked at onboarding, plus an exercise add-on that blurs NEAT and EAT without separating them cleanly.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figure 2 &middot; 7 real days<\/span><span class=\"r\">kcal\/day<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartNEAT\" aria-label=\"Daily variability of caloric expenditure over 7 days, vs 2400 kcal fixed per FatSecret\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Real expenditure<\/strong> measured over 7&nbsp;days for a Lean user. The grey line is what FatSecret was showing (2,400&nbsp;kcal flat, PAL Active \u00d7 BMR). The pink annotations show why each day moves.<\/p>\n  <\/div>\n\n  <p>You can&rsquo;t reduce your activity level to a static box. You might be active in weeks when you barely work from home, and sedentary in weeks when you never leave the office. You might be active in summer and sedentary in winter. You might be active from Tuesday to Friday and sedentary on weekends.<\/p>\n  <p>Which box will you tick this week? The truth is, none of the 5 will be correct. So FatSecret will give you a TDEE that is systematically disconnected from reality.<\/p>\n  <p>The key point of this article: even with a more modern BMR formula, the static PAL would be enough to break everything. You cannot estimate a <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/neat-non-exercise-activity-thermogenesis\/\">NEAT<\/a>, EAT and <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/thermic-effect-of-food-tef\/\">TEF<\/a> with a single multiplier on top of BMR. Conceptually absurd.<\/p>\n  <p><strong>On top of this problem comes the quality of the food database.<\/strong> FatSecret displays a massive database thanks to its community, but that database is crowdsourced: users add foods, brands, recipes. Several studies on user-generated food databases have documented gaps of plus or minus 20 percent on the calories of popular entries, due to duplicates, mis-entered portions, and approximate calorie copies. You can type &laquo;&nbsp;roast chicken&nbsp;&raquo; and get 30 different entries with kcal values ranging from single to double. Lean settles it: a database backed by <strong>USDA and OpenFoodFacts<\/strong>, verified official sources, and AI photo scan of a dish for foods outside the database.<\/p>\n  <p>You get the idea: <strong>a BMR formula without bodyfat measured inside the app, plus a static PAL approximation of the other expenditure components, plus a crowdsourced food database with variable accuracy, gives very little chance of reaching your goals over 3 to 6 months.<\/strong><\/p>\n\n  <div class=\"cta-band rev\">\n    <div class=\"l\">See your real TDEE, broken down into BMR + NEAT + EAT + TEF. Free download.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"p3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Problem 3<\/span><\/div>\n  <h2 id=\"p3\">Metabolic adaptation, never modeled<\/h2>\n  <p>This is the final boss. The most subtle concept. And probably the most important.<\/p>\n  <p>When you&rsquo;re in a calorie deficit, your body realizes it&rsquo;s receiving less energy than before. To protect itself, it switches to power-saving mode. Exactly like your iPhone&rsquo;s low-power mode: everything keeps working, just using less energy. Your BMR drops. Your NEAT drops. Your EAT drops.<\/p>\n  <p>This is called metabolic adaptation. The scientific literature is clear and reproducible: M&uuml;ller 2015 (PubMed 26399868, Minnesota revisit), Doucet 2001 (PubMed 11319656), Nunes 2020 (PMC7484122) on 6 weeks of deficit. Here are the numbers:<\/p>\n  <ul>\n    <li>Deficit of &minus;250&nbsp;kcal per day, over 2 to 8 weeks: adaptation of <strong>5 to 10%<\/strong> (TDEE drops to 90-95&nbsp;% of the initial level)<\/li>\n    <li>Deficit of &minus;500&nbsp;kcal per day: <strong>10 to 15%<\/strong> adaptation (TDEE drops to 85-90&nbsp;%)<\/li>\n    <li>Deficit of &minus;750&nbsp;kcal per day: <strong>15 to 25%<\/strong> adaptation (TDEE drops to 75-85&nbsp;%)<\/li>\n  <\/ul>\n  <p>Lean convention: 100&nbsp;% = optimal, 90&nbsp;% = 10&nbsp;% adaptation. And since NEAT, EAT and TEF all depend directly on the BMR, almost the entire TDEE is impacted.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figure 3 &middot; 8 weeks in deficit<\/span><span class=\"r\">kcal\/day<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartAdapt\" aria-label=\"TDEE dropping from 2500 to 2150 kcal over 8 weeks, vs 2500 fixed per FatSecret\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>real TDEE<\/strong> over 8 weeks of deficit at &minus;500&nbsp;kcal\/day. The pink curve drops. The FatSecret line stays flat. By week 6, you&rsquo;re already at maintenance. Without having changed anything.<\/p>\n  <\/div>\n\n  <p>Concretely: if you planned a 10&nbsp;% deficit on a TDEE of 2,500 (eating 2,250 per day), and your body adapts by 10&nbsp;%, your real TDEE has dropped to 2,250. You&rsquo;re at maintenance. You stop losing.<\/p>\n  <p>The trap is how insidious it is. At first, you lose weight. You&rsquo;re happy. You keep going. But week after week, the adaptation stacks. And at some point, without changing anything in your tracking, <strong>you stop losing<\/strong>.<\/p>\n  <p>95% of people go through this without understanding. They blame their willpower. They blame their \"broken metabolism\". They jump into harsher diets, which makes adaptation worse. Spiral.<\/p>\n  <p>FatSecret never calculates metabolic adaptation. It gives you a fixed, static calorie target as long as you don&rsquo;t manually update your weight and activity factor. You can track your log week after week, share your meals with the community, but when you stall after 6 weeks of cut, the app has no idea why. The calorie counter stays frozen.<\/p>\n<\/section>\n\n<section aria-labelledby=\"solution\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Lean's solution<\/span><\/div>\n  <h2 id=\"solution\">How Lean fixes each of the 3 problems<\/h2>\n  <p>Lean was not built as an improved clone of FatSecret. FatSecret has a real edge on free access, multi-country coverage, and community. Lean was built for the complementary angle: seriously tracking the full TDEE theory (BMR + NEAT + EAT + TEF), with metabolic adaptation as the 5th brick that modulates the BMR continuously, and grounding its food database in official sources. Concretely, here is how Lean handles each component.<\/p>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"duo-row\">\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9 par photo\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Step 1<strong>BodyScan AI<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Step 2<strong>BMR recalculated<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">BMR on real bodyfat<\/div>\n      <h3>Proprietary patented model, built on lean mass<\/h3>\n      <p>Lean uses a <strong>proprietary patented model<\/strong> which depends directly on lean mass, not raw bodyweight. To do that, the app needs your bodyfat. And here we hit the historically painful problem: how do you measure your bodyfat without paying for a clinic DEXA scan every week?<\/p>\n      <p>Lean&rsquo;s answer: the <strong>BodyScan AI<\/strong>. You take a photo, the app runs it through a model trained on a massive bank of DEXA scans, and you get your estimated bodyfat in seconds. You can redo it every week. The BMR recomputes automatically.<\/p>\n      <p>Goodbye skinfold calipers (imprecise), goodbye bioimpedance scales (unreliable), goodbye DEXA scan (perfect but not accessible weekly). One photo, 5 seconds.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">No activity coefficient<\/div>\n      <h3>NEAT, EAT, TEF calculated separately<\/h3>\n      <p><strong>NEAT.<\/strong> Lean pulls your real step count via HealthKit (iOS) or Google Fit (Android). No declaration. No &ldquo;I think I walk enough.&rdquo; Your steps, measured by your smartphone&rsquo;s very precise accelerometers. The <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/neat-non-exercise-activity-thermogenesis\/\">NEAT is computed by crossing those steps with your BMR<\/a>, every day, with no coefficient to pick.<\/p>\n      <p><strong>EAT.<\/strong> For each training session, you pick the sport from a list (strength training, running, tennis, swimming, etc.), and Lean uses the sport&rsquo;s MET (Metabolic Equivalent Task) to compute the real expenditure. You enter the actual time <strong>effective<\/strong> of sport (not the total time with rest periods: the mistake 100&nbsp;% of smartwatches make). A strength session at 1,050&nbsp;kcal according to your Apple Watch? Reality is closer to 200&nbsp;kcal. Lean refuses that drift.<\/p>\n      <p><strong>TEF.<\/strong> Digestion burns energy, and it isn't a flat 10% lump. <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/thermic-effect-of-food-tef\/\">Protein costs 20 to 30%<\/a> of their calories in digestion. Carbs 5 to 10&nbsp;%. Fats 1 to 3&nbsp;%. Lean computes your real TEF from your macros. At 3,000&nbsp;kcal\/day, that can be a 100&nbsp;kcal gap depending on your diet composition.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-row\" style=\"margin:0;gap:10px\">\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">NEAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" alt=\"\u00c9cran EAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">EAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"\u00c9cran TEF Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">TEF<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:170px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Method<strong>Auto adaptation<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">Automatic metabolic adaptation<\/div>\n      <h3>A world first on a consumer app<\/h3>\n      <p>Lean is, to our knowledge, the first app to compute metabolic adaptation automatically. As your weeks in deficit add up, the app adjusts your TDEE downward based on the scientifically established figures (M&uuml;ller 2015, Doucet 2001, Nunes 2020). Convention 100 &rarr; 0&nbsp;%: 100&nbsp;% = optimal, 90&nbsp;% = 10&nbsp;% adaptation. You don&rsquo;t have to do anything. You see your calorie goal readjust gently, with no surprises.<\/p>\n      <p>When you hit 10 to 15&nbsp;% adaptation, the app can recommend a return to maintenance to reset your BMR before going back into deficit. Cycle, plateau, cycle. Just like in serious protocols.<\/p>\n      <p>No activity coefficient to pick. No static PAL box. Just every component computed precisely, week after week.<\/p>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Side-by-side<\/span><\/div>\n  <h2 id=\"tab\">Lean versus FatSecret, criterion by criterion<\/h2>\n  <p>An honest read of each app's strengths and weaknesses. No criterion touches price.<\/p>\n\n  <div class=\"table\" role=\"table\" aria-label=\"Lean vs FatSecret comparison\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Criterion<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Lean<\/span><\/div>\n      <div class=\"brand-cell\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-fatsecret-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>FatSecret<\/span><\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">BMR formula<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Proprietary patented model (lean mass)<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Mifflin-St Jeor 1990, no lean-mass option<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Uses bodyfat<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Yes, measured in the app<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> No, no bodyfat input possible<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Bodyfat measured inside the app<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> BodyScan AI via photo<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> No<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (steps, non-exercise activity)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Computed from real steps every day<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> HealthKit sync, exercise calorie add-on, but outside any TDEE recomputation<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (exercise expenditure)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Per sport via MET, effective time<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Simple sport selection, standard exercise database<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (digestion)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Calculated from macros, integrated into the TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> No, macros displayed without TEF computation<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Metabolic adaptation<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Automatic, week by week<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> No<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Activity multiplier to pick<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> No, computed on real data<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Yes, 5 static boxes (sedentary to extremely active, PAL 1.2 to 1.9)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">AI photo scan of a meal<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Yes, unlimited<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> No, manual entry, barcode, or manual photo of the label<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Barcode scan<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Yes<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Yes<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Food database<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> USDA + OpenFoodFacts, verified official sources<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Crowdsourced, documented duplicates and calorie gaps<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Calorie deficit recommendation<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Adapted to real TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Fixed target, manual recompute required<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Community sharing (meals, recipes)<\/div>\n      <div class=\"cell lean\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Out of scope, focus on TDEE computation<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Active community, shared recipes<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Multi-country coverage<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> FR, EN, ES, PT, IT, DE, PL, HU<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Present in 50+ countries, multi-language<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Reputation and audience size<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4.7\/5, 10,000+ users, young FR app<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4.5\/5, 100M+ cumulative downloads, broad audience<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Business model<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Premium, 7-day free trial on the annual subscription<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Free, ad-supported, optional Premium<\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tracking\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Tracking<\/span><\/div>\n  <h2 id=\"tracking\">3 ways to track a meal<\/h2>\n  <p>Tracking calories is fine. <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/comment-compter-ses-calories\/\">Doing it for 12 months is another story<\/a>. Principle #1, <strong>before science, before macros, before everything<\/strong>is adherence. If the tracking method annoys you, you quit after 3 weeks. Lean offers 3 ways to log a meal:<\/p>\n\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-database.webp\" alt=\"Recherche dans la base de donn\u00e9es USDA + OpenFoodFacts\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Method 1<strong>Database<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-codebarre.webp\" alt=\"Scan de code-barres dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Method 2<strong>Barcode<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-scania.webp\" alt=\"Scan photo IA d'un plat\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Method 3<strong>AI photo scan<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>Database search.<\/strong> Curated base, USDA + OpenFoodFacts. No community noise, no \"Roast chicken\" entered 47 times by 47 different users with 47 different values.<\/li>\n    <li><strong>Barcode scan.<\/strong> Standard. You scan your pasta box, you get the macros.<\/li>\n    <li><strong>AI photo scan of a meal.<\/strong> You photograph your plate, the AI detects the foods, you get the calories and macros per food.<\/li>\n  <\/ol>\n  <p>The AI photo scan is the adherence game changer. When you eat out, at a restaurant, at friends&rsquo;, it&rsquo;s extremely practical. One photo, you close the app, you enjoy your evening. Yes, it&rsquo;s less accurate than weighing to the gram with a kitchen scale. But over 12 months, that&rsquo;s what makes the difference between sticking with it and giving up. And sticking with it is what counts.<\/p>\n  <p>Beyond meal-by-meal tracking, Lean shows a <strong>live TDEE that updates throughout the day<\/strong>. The more you walk, the more your expenditure rises, the more your daily calorie goal adjusts. You see your calorie balance live. It&rsquo;s more motivating than a number frozen at 8&nbsp;a.m.<\/p>\n  <p>And above all that sits the <strong>Progression Pyramid<\/strong>. It&rsquo;s an app screen that ranks what matters:<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Lean Progression Pyramid\">\n    <div class=\"level l1\"><span>Adherence<\/span><span class=\"k\">Foundation<\/span><\/div>\n    <div class=\"level l2\"><span>Calorie target<\/span><span class=\"k\">Tier 2<\/span><\/div>\n    <div class=\"level l3\"><span>Steps \/ NEAT<\/span><span class=\"k\">Tier 3<\/span><\/div>\n    <div class=\"level l4\"><span>Macronutrients<\/span><span class=\"k\">Peak<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">Don&rsquo;t skip steps. If you&rsquo;re not consistent on tracking, optimizing macros to the percent is pointless.<\/div>\n<\/section>\n\n<section aria-labelledby=\"fatsecret-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; Honesty<\/span><\/div>\n  <h2 id=\"fatsecret-better\">What FatSecret does better<\/h2>\n  <p>Lean is not perfect, and FatSecret has several real strengths worth acknowledging. Honest read, criterion by criterion, on the axes where FatSecret stays ahead. None of these axes is secondary: they are real pillars of the FatSecret promise, and they explain its massive adoption among the cost-conscious mainstream audience.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"FatSecret vs Lean scorecard across 4 axes: free access and community\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">Axis<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-fatsecret-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> FatSecret<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Lean<\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">100% free model (ad-supported)<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:95%\"><\/i><\/div><div class=\"v\">9,5<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:25%\"><\/i><\/div><div class=\"v\">2,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Multi-country coverage<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:92%\"><\/i><\/div><div class=\"v\">9,2<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:65%\"><\/i><\/div><div class=\"v\">6,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Community (meal and recipe sharing)<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:88%\"><\/i><\/div><div class=\"v\">8,8<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:20%\"><\/i><\/div><div class=\"v\">2,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Raw size of the food catalog<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:72%\"><\/i><\/div><div class=\"v\">7,2<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Honest read.<\/strong> On the free model, FatSecret is the market reference: everything is accessible without a paywall, funded by ads displayed in the app. No critical calorie-tracking feature is gated behind a Premium. It&rsquo;s a real differentiator, especially for users who are starting out or want a log without commitment. On multi-country coverage, FatSecret is present in more than 50 countries with localized versions and adapted food databases (local brands, regional dishes). No other mainstream app has invested as much in geographic expansion. On the community, FatSecret has built over 15 years an active network of users who share meals, recipes, tips, and successes. It&rsquo;s an adherence mechanism few apps reproduce. On catalog size, FatSecret shows several million entries, which covers very specific foods that smaller databases would miss.<\/p>\n  <p>If your main angle is paying nothing to track your calories, getting access in a country where few apps are localized, or if the community dimension helps you stick with it, FatSecret is more relevant than Lean. If your angle is the precision of <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/tdee-calculator\/\">TDEE calculation<\/a>, bodyfat measured every week through BodyScan AI, automatic metabolic adaptation, and a food database backed by USDA and OpenFoodFacts rather than crowdsourced, that&rsquo;s exactly what was demonstrated in the 3 previous sections. Many users run Lean for measurement and FatSecret in parallel for rare-food coverage, which is entirely defensible.<\/p>\n<\/section>\n\n<section aria-labelledby=\"forwho\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; Who it's for<\/span><\/div>\n  <h2 id=\"forwho\">Who Lean is built for<\/h2>\n  <p>4 profiles. If you recognize yourself in at least one, Lean is probably for you.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>You&rsquo;ve been using FatSecret for a long time and haven&rsquo;t lost<\/h4>\n        <p>You scanned, added, shared in the community, kept it up for several weeks, and you&rsquo;re stalling. The culprit isn&rsquo;t your seriousness, it&rsquo;s the TDEE frozen by Mifflin 1990 without bodyfat that your calorie targets rely on, plus the variable accuracy of the crowdsourced entries you used. Lean fixes it at the root through BMR on real bodyfat and a USDA + OpenFoodFacts database.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>You plateau after several weeks of cutting<\/h4>\n        <p>Plateau that drags on after 4 to 8 weeks. That&rsquo;s metabolic adaptation. Lean computes it automatically and readjusts your goal every week.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>You want to understand your metabolism<\/h4>\n        <p>Lean shows each component (BMR, NEAT, EAT, TEF) and explains adaptation separately, instead of hiding everything behind a single number. You see where every kcal of expenditure comes from.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>You want tracking that lasts 12 months<\/h4>\n        <p>AI photo scan + USDA + OpenFoodFacts database + barcode cover every use case, from raw ingredient to restaurant pizza. That&rsquo;s the difference between holding on and giving up.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>FatSecret stays more relevant for<\/strong>&nbsp;: paying nothing for your calorie log, enjoying an active community that shares meals and recipes, or accessing a very large multi-country catalog. Precision of TDEE calculation and metabolic adaptation just aren&rsquo;t part of its main promise.<\/p>\n<\/section>\n\n<section aria-labelledby=\"migrate\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Migration<\/span><\/div>\n  <h2 id=\"migrate\">Switching from FatSecret to Lean (or using both) in 3 minutes<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Download Lean<\/h4><p>App Store or Play Store. Sign-up in 30 seconds.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>BodyScan AI<\/h4><p>One photo, 5 seconds. You get your bodyfat.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Weight &amp; height<\/h4><p>You enter your weight and height. That&rsquo;s it.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean computes<\/h4><p>BMR on real bodyfat, NEAT via HealthKit \/ Google Fit (real steps), EAT via MET, TEF via macros, plus metabolic adaptation that modulates the BMR. Automatic.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Log a meal<\/h4><p>Photo, barcode or database. You get the flow.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Important note.<\/strong> Lean doesn&rsquo;t import your FatSecret history automatically, nor your custom recipes. If you still use the FatSecret community to discover recipes or find a rare local food in its very large catalog, many users keep checking FatSecret as a complement, while using Lean daily for the TDEE calculation and precise tracking. The HealthKit \/ Google Health Connect sync, on the other hand, takes over immediately for your steps and activity history.<\/p>\n\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Download Lean and start the BodyScan AI right now. Free sign-up.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"deblock-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; What Lean unlocks<\/span><\/div>\n  <h2 id=\"deblock-h\">What Lean does, that FatSecret doesn&rsquo;t (on TDEE)<\/h2>\n  <p>Six features that exist in no other consumer tracker. They all come from the same principle: compute every TDEE component precisely, not approximate it.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Unlimited BodyScan AI<\/div><p class=\"fd\">Your real bodyfat, measured from a simple photo, redone every week. It&rsquo;s the data point that changes the entire BMR calculation. No other mainstream app offers this.<\/p><\/div><div class=\"fc\">Bodyfat<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Unlimited AI photo scan of a meal<\/div><p class=\"fd\">Track your restaurant meal in 2 seconds. No scale, no manual entry. The adherence game changer over 12 months.<\/p><\/div><div class=\"fc\">Adherence<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Automatic metabolic adaptation<\/div><p class=\"fd\">Your TDEE readjusts week after week according to scientifically established numbers. You avoid the plateaus nobody can explain.<\/p><\/div><div class=\"fc\">Adaptation<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Live TDEE breakdown<\/div><p class=\"fd\">BMR + NEAT + EAT + TEF each displayed, updated throughout the day. No more frozen number at 8 AM. You see your calorie balance live.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Official food database<\/div><p class=\"fd\">USDA + OpenFoodFacts, verified sources. No crowdsourced duplicates, no calories entered roughly by an anonymous user 5 years ago.<\/p><\/div><div class=\"fc\">Foundation<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 unified tracking methods<\/div><p class=\"fd\">Photo, barcode, curated database. No other app offers all three with such precision. You choose the method based on context.<\/p><\/div><div class=\"fc\">Tracking<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">You install the app for free, you test without commitment, then you decide whether the tool fits your goal.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Frequently asked questions<\/h2>\n  <div class=\"faq\">\n    <details><summary>FatSecret is free with a big community, why compare it to Lean on TDEE&nbsp;?<\/summary><div class=\"ans\">FatSecret is known for its 100% free, ad-supported model, its very large active community, and its massive food database (more than 50 countries, meal and recipe sharing by users). That&rsquo;s its strength. But its calorie promise rests on Mifflin-St Jeor 1990 without bodyfat, plus a static activity factor picked from 5 boxes at sign-up (sedentary, lightly active, active, very active, extremely active). And its food database is crowdsourced, with documented accuracy gaps (duplicate entries, incorrect calories, mislabeled brands). Lean recalculates your BMR every day on your real bodyfat measured by BodyScan AI, and grounds its database in USDA + OpenFoodFacts. The two apps don&rsquo;t play on the same field: free community access versus Premium precision.<\/div><\/details>\n    <details><summary>Why doesn&rsquo;t FatSecret calculate the BMR on real bodyfat&nbsp;?<\/summary><div class=\"ans\">FatSecret applies Mifflin-St Jeor 1990 by default without a lean-mass option. No bodyfat measurement is built into the app, and no Katch-McArdle-type equation is offered even in advanced settings. The consequence is mechanical: two users of the same weight but with 10 and 30 percent bodyfat get the same FatSecret BMR, while their real expenditure can differ by 400 to 500 kcal per day. Lean integrates BodyScan AI to measure your bodyfat from a simple photo, to redo every week.<\/div><\/details>\n    <details><summary>Is FatSecret&rsquo;s crowdsourced food database reliable&nbsp;?<\/summary><div class=\"ans\">FatSecret displays a massive food database thanks to its community, which adds foods, brands, and recipes. That&rsquo;s its strength in terms of coverage. The flip side: duplicate entries are numerous, calorie values vary from one entry to another for the same food, and rigorous verification is not systematic. Several studies on user-generated food databases have documented gaps of plus or minus 20 percent on the calories of popular entries. Lean backs its database with USDA and OpenFoodFacts, verified official sources, and adds AI photo scan of a dish for foods outside the database.<\/div><\/details>\n    <details><summary>FatSecret imports steps via HealthKit, is that enough for NEAT&nbsp;?<\/summary><div class=\"ans\">FatSecret syncs Apple Health and Google Fit for steps and some sessions, and can add a calorie add-on for detected exercises. But the underlying TDEE calculation still rests on the activity factor picked at sign-up from 5 boxes (sedentary, lightly active, active, very active, extremely active). The NEAT measured day by day doesn&rsquo;t recompose total expenditure. Lean calculates NEAT directly from real steps measured every day, with no coefficient to pick.<\/div><\/details>\n    <details><summary>Is Lean free or paid&nbsp;?<\/summary><div class=\"ans\">Lean is Premium, with a 7-day free trial on the annual subscription. You download, you test BodyScan AI, AI photo meal scan, TDEE recomposition, no commitment. If the tool fits your goal, you keep going. Otherwise, you cancel renewal before the trial ends.<\/div><\/details>\n    <details><summary>Can you use Lean and FatSecret in parallel&nbsp;?<\/summary><div class=\"ans\">Yes, it&rsquo;s defensible if you appreciate the FatSecret community for sharing meals and recipes, or if you want to keep a free fallback to enter a food found in its database. Lean handles the metabolic engine (BMR on real bodyfat, NEAT, EAT, TEF, adaptation), FatSecret brings you a community log and broad multi-country coverage. It&rsquo;s a trade-off between precision and community coverage.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"conclu\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">12 &middot; Conclusion<\/span><\/div>\n  <h2 id=\"conclu\">1990 vs 2026<\/h2>\n  <p>It&rsquo;s not FatSecret versus Lean in marketing. It&rsquo;s free community access versus TDEE precision, two different promises.<\/p>\n  <p>FatSecret remains the best app to track your calories without paying a cent, enjoy a large community, and access a database covering more than 50 countries. It&rsquo;s a real service, especially when you start out. But for your TDEE, FatSecret uses Mifflin-St Jeor 1990 without bodyfat measured inside the app, plus a frozen activity factor you tick once at sign-up (sedentary, lightly active, active, very active, extremely active), ignores metabolic adaptation, and relies on a crowdsourced food database with documented accuracy gaps. The combination of all four makes any precise calorie tracking impossible beyond a few weeks of cut. It&rsquo;s mathematics.<\/p>\n  <p>Lean was built to do the exact opposite: BMR based on <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/total-daily-energy-expenditure-tdee\/\">real bodyfat<\/a> (measured by BodyScan AI) via a proprietary patented model, <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/neat-non-exercise-activity-thermogenesis\/\">NEAT from real steps<\/a>, EAT per sport via MET, <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/thermic-effect-of-food-tef\/\">TEF from macros<\/a>, plus metabolic adaptation that modulates the BMR week after week, and a food database backed by USDA and OpenFoodFacts. Each component calculated precisely, no magic coefficient, on official sources.<\/p>\n  <p>FatSecret remains very solid on free access, community, and multi-country coverage. If you tried FatSecret seriously and didn&rsquo;t get the results you hoped for on your cut, the problem isn&rsquo;t you, nor FatSecret on its free-access promise. The problem is the TDEE frozen under the hood, plus a food database with variable accuracy. Change the engine, keep the community alongside if you need it.<\/p>\n<\/section>\n\n<div class=\"get-band rev\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>Lean is available as a free download<\/h3>\n  <p>iOS and Android. The BodyScan AI works from a single photo. No skinfold calliper, no bioimpedance scale, no DEXA.<\/p>\n  <div class=\"stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean on the App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean on Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Further reading<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Internal links<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/tdee-calculator\/\">Free online TDEE calculator<\/a> &middot; web version, no sign-up, same logic as the app (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/total-daily-energy-expenditure-tdee\/\">Understand TDEE in depth (BMR, NEAT, EAT, TEF, adaptation)<\/a> &middot; deep-science article.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/comment-compter-ses-calories\/\">How to count your calories properly<\/a> &middot; practical guide for beginners.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/neat-non-exercise-activity-thermogenesis\/\">NEAT: expenditure from steps and non-exercise activity<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/thermic-effect-of-food-tef\/\">TEF: digestion burns calories<\/a>.<\/li>\n  <\/ul>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Sources<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliography<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition.<\/li>\n    <li>Frankenfield D.C. et al. (2013). Validation of Mifflin-St Jeor equation in obese and non-obese populations. PubMed 23631843.<\/li>\n    <li>M&uuml;ller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity. PubMed 26399868.<\/li>\n    <li>Doucet E. et al. (2001). Evidence for the existence of adaptive thermogenesis during weight loss. British Journal of Nutrition. PubMed 11319656.<\/li>\n    <li>Nunes C.L. et al. (2020). Metabolic adaptation and energy compensation following weight loss. PMC7484122.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>USDA FoodData Central. National Nutrient Database for Standard Reference. fdc.nal.usda.gov.<\/li>\n    <li>OpenFoodFacts. Open and verified collaborative food database. openfoodfacts.org.<\/li>\n    <li>Studies on the accuracy of crowdsourced food databases (documented variability of plus or minus 20 percent on popular entries).<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Article published on May 24, 2026. Updated regularly with user feedback and relevant new studies. Lean is available on iOS and Android.<\/p>\n      <\/div>\n      <div class=\"stores\">\n        <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script>\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n\n(function(){\n  var phoneImg = document.getElementById('phoneImg');\n  var phoneBack = document.getElementById('phoneBack');\n  var zones = document.getElementById('phoneZones');\n  var topTabs = document.querySelectorAll('.phone-tabs button');\n  var navTaps = document.querySelectorAll('.phone-navbar button');\n\n  var tabMap = {\n    bilan:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 'block' : 'none';\n      phoneBack.classList.remove('on');\n    }, 150);\n    setActive(tab);\n  }\n  function showSub(sub){\n    var src = subMap[sub]; if(!src) return;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg sub-' + sub;\n      phoneImg.style.opacity = 1;\n      zones.style.display = 'none';\n      phoneBack.classList.add('on');\n    }, 150);\n  }\n\n  var hintD = document.getElementById('tapHintDesktop');\n  var hintM = document.getElementById('tapHintMobile');\n  function hideHints(){\n    if (hintD) hintD.classList.add('hidden');\n    if (hintM) hintM.classList.add('hidden');\n  }\n\n  topTabs.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  navTaps.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  zones.querySelectorAll('.z').forEach(function(z){\n    z.addEventListener('click', function(){ hideHints(); showSub(z.dataset.sub); });\n    z.addEventListener('keydown', function(e){\n      if (e.key==='Enter' || e.key===' ') { e.preventDefault(); hideHints(); showSub(z.dataset.sub); }\n    });\n  });\n  phoneBack.addEventListener('click', function(){ hideHints(); showTab(currentTab); });\n})();\n\n(function(){\n  if (typeof Chart === 'undefined') return;\n  \/\/ v6 anti-overflow helper: preserve designer intent + strict clamp inside chartArea\n  function xAdj(xv, halfW, baseAdj){\n    return function(c){\n      var s = c.chart.scales.x;\n      if(!s || !c.chart.chartArea) return (baseAdj != null ? baseAdj : 0);\n      var area = c.chart.chartArea;\n      var px = s.getPixelForValue(xv);\n      var hw = halfW || 60;\n      var base = (baseAdj != null) ? baseAdj : 0;\n      var center = px + base;\n      var minC = area.left + hw + 4;\n      var maxC = area.right - hw - 4;\n      if(maxC < minC){ var mid = (area.left + area.right) \/ 2; return mid - px; }\n      if(center < minC) center = minC;\n      if(center > maxC) center = maxC;\n      return center - px;\n    };\n  }\nvar PINK = '#FF2D6E';\n  var COMP = '#2E7BE5';\n  var INK  = '#0E0E10';\n  var MUTE = '#6E6E73';\n  var RULE = '#E8E6DF';\n\n  Chart.defaults.font.family = '-apple-system, \"SF Pro Text\", system-ui, sans-serif';\n  Chart.defaults.color = MUTE;\n\n  \/\/ Plugin custom : trait pointille noir reliant le sommet de la barre FatSecret (2500) au sommet de la barre Lean (2000) pour le chart BMR\n  var bmrDeltaLine = {\n    id: 'bmrDeltaLine',\n    afterDatasetsDraw: function(chart){\n      var meta = chart.getDatasetMeta(0);\n      if (!meta || !meta.data || meta.data.length < 2) return;\n      var b1 = meta.data[0], b2 = meta.data[1];\n      if (!b1 || !b2) return;\n      var ctx = chart.ctx;\n      var x1 = b1.x, y1 = b1.y;\n      var x2 = b2.x, y2 = b2.y;\n      ctx.save();\n      ctx.strokeStyle = INK;\n      ctx.lineWidth = 1.5;\n      ctx.setLineDash([6,4]);\n      ctx.beginPath();\n      ctx.moveTo(x1, y1);\n      ctx.lineTo(x2, y1);   \/\/ segment horizontal en haut de la barre FatSecret\n      ctx.moveTo(x2, y1);\n      ctx.lineTo(x2, y2);   \/\/ segment vertical jusqu'au sommet de la barre Lean\n      ctx.stroke();\n      ctx.restore();\n    }\n  };\n\n  var lazy = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (!e.isIntersecting) return;\n      var id = e.target.id;\n      if (id === 'chartBMR')   buildBMR();\n      if (id === 'chartNEAT')  buildNEAT();\n      if (id === 'chartAdapt') buildAdapt();\n      lazy.unobserve(e.target);\n    });\n  }, {threshold:0.2});\n  ['chartBMR','chartNEAT','chartAdapt'].forEach(function(id){\n    var el = document.getElementById(id);\n    if (el) lazy.observe(el);\n  });\n\n  \/\/ Animation des barres horizontales scorecard\n  var scoreObs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (!e.isIntersecting) return;\n      e.target.querySelectorAll('.bar .b > i').forEach(function(i){\n        var w = i.style.width;\n        i.style.width = '0%';\n        requestAnimationFrame(function(){ requestAnimationFrame(function(){ i.style.width = w; }); });\n      });\n      scoreObs.unobserve(e.target);\n    });\n  }, {threshold:0.25});\n  document.querySelectorAll('.scorecard').forEach(function(n){ scoreObs.observe(n); });\n\n  function fmt(n){return n.toLocaleString('fr-FR').replace(',',' ');}\n\n  function buildBMR(){\n    var ctx = document.getElementById('chartBMR').getContext('2d');\n    new Chart(ctx, {\n      type: 'bar',\n      data: {\n        labels: ['FATSECRET \u00b7 Mifflin-St Jeor\\n1990', 'LEAN \u00b7 Brevet\u00e9\\nsur bodyfat r\u00e9el'],\n        datasets: [{\n          data: [2500, 2000],\n          backgroundColor: [COMP, PINK],\n          borderRadius: 6,\n          maxBarThickness: 110\n        }]\n      },\n      plugins: [bmrDeltaLine],\n      options: {\n        responsive:true, maintainAspectRatio:false,\n        animation:{duration:900, easing:'easeOutQuart'},\n        layout:{padding:{top:56, bottom:6, left:14, right:14}},\n        plugins:{\n          legend:{display:false},\n          tooltip:{enabled:false},\n          annotation:{\n            annotations:{\n              lblCOMP:{type:'label',xValue:0,yValue:2670,content:['2 500'],font:{family:'-apple-system',size:24,weight:'700'},color:INK},\n              lblLEAN:{type:'label',xValue:1,yValue:2170,content:['2 000'],font:{family:'-apple-system',size:24,weight:'700'},color:PINK},\n              delta:{type:'label',xValue:0.5,yValue:2200,content:['\u2212500 kcal'],font:{family:'-apple-system',size:12,weight:'600'},color:'#fff',backgroundColor:INK,borderRadius:14,padding:{x:11,y:5}}\n            }\n          }\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE,callback:function(v,i){return this.getLabelForValue(v).split('\\n');}},border:{display:false}},\n          y:{beginAtZero:true,max:2900,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:1000,callback:function(v){return v===0?'0':fmt(v);}}}\n        }\n      }\n    });\n  }\n\n  function buildNEAT(){\n    var ctx = document.getElementById('chartNEAT').getContext('2d');\n    var labels = ['Lun','Mar','Mer','Jeu','Ven','Sam','Dim'];\n    var real   = [2100, 2350, 2080, 2950, 2200, 3200, 1800];\n    new Chart(ctx, {\n      type: 'line',\n      data: {\n        labels: labels,\n        datasets: [\n          {label:'Lean \u00b7 d\u00e9pense r\u00e9elle',data:real,borderColor:PINK,backgroundColor:'rgba(255,45,110,0.08)',borderWidth:2.5,pointRadius:5,pointBackgroundColor:'#fff',pointBorderColor:PINK,pointBorderWidth:2,tension:0.35,fill:true},\n          {label:'FatSecret \u00b7 objectif fixe 2 400 kcal',data:[2400,2400,2400,2400,2400,2400,2400],borderColor:COMP,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n        ]\n      },\n      options: {\n        responsive:true, maintainAspectRatio:false,\n        animation:{duration:1000, easing:'easeOutQuart'},\n        layout:{padding:{top:80, bottom:34, left:32, right:64}},\n        plugins:{\n          legend:{display:true, position:'top', align:'start', labels:{boxWidth:14, boxHeight:2, color:MUTE, font:{size:12}, padding:14, usePointStyle:false}},\n          tooltip:{backgroundColor:'#0c0c0c',titleColor:'#fff',bodyColor:'#fff',cornerRadius:8,padding:10,displayColors:false,callbacks:{label:function(c){return fmt(c.parsed.y)+' kcal';}}},\n          annotation:{annotations:{\n            peakSam:{type:'label',xValue:5,yValue:3450,content:['Disneyland 15 km','+800 kcal'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:PINK,borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:xAdj(5,58,-28)},\n            peakJeu:{type:'label',xValue:3,yValue:3300,content:['Footing + bureau debout'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:INK,borderRadius:10,padding:{x:9,y:5}},\n            dipDim:{type:'label',xValue:6,yValue:1620,content:['Canap\u00e9 Netflix','\u2212600 kcal'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:'#5a5a5e',borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:xAdj(6,52,-42)},\n            compTag:{type:'label',xValue:0.55,yValue:2510,content:['FatSecret fixe : 2 400'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:COMP,borderRadius:10,padding:{x:9,y:4}}\n          }}\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE},border:{display:false}},\n          y:{min:1400,max:3800,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:500,callback:function(v){return fmt(v);}}}\n        }\n      }\n    });\n  }\n\n  function buildAdapt(){\n    var ctx = document.getElementById('chartAdapt').getContext('2d');\n    var labels = ['S.1','S.2','S.3','S.4','S.5','S.6','S.7','S.8'];\n    var lean = [2500, 2470, 2420, 2350, 2280, 2230, 2180, 2150];\n    var comp = [2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500];\n    new Chart(ctx, {\n      type:'line',\n      data:{labels:labels,datasets:[\n        {label:'Lean \u00b7 TDEE r\u00e9elle adapt\u00e9e',data:lean,borderColor:PINK,backgroundColor:'rgba(255,45,110,0.10)',borderWidth:2.5,pointRadius:4,pointBackgroundColor:'#fff',pointBorderColor:PINK,pointBorderWidth:2,tension:0.35,fill:true},\n        {label:'FatSecret \u00b7 objectif fig\u00e9',data:comp,borderColor:COMP,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n      ]},\n      options:{\n        responsive:true, maintainAspectRatio:false,\n        animation:{duration:1100, easing:'easeOutQuart'},\n        layout:{padding:{top:72, bottom:28, left:64, right:64}},\n        plugins:{\n          legend:{display:true,position:'top',align:'start',labels:{boxWidth:14,boxHeight:2,color:MUTE,font:{size:12},padding:14}},\n          tooltip:{backgroundColor:'#0c0c0c',titleColor:'#fff',bodyColor:'#fff',cornerRadius:8,padding:10,displayColors:false,callbacks:{label:function(c){return fmt(c.parsed.y)+' kcal';}}},\n          annotation:{annotations:{\n            adaptTag:{type:'label',xValue:5.6,yValue:2100,content:['\u221214 % adaptation','Vous arr\u00eatez de perdre'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:PINK,borderRadius:10,padding:{x:9,y:5},textAlign:'center'},\n            compStill:{type:'label',xValue:0.7,yValue:2570,content:['FatSecret : 2 500 fig\u00e9'],font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:COMP,borderRadius:10,padding:{x:9,y:4}},\n            start:{type:'label',xValue:0,yValue:2630,content:['2 500'],font:{family:'-apple-system',size:14,weight:'700'},color:INK,xAdjust:xAdj(0,22,22)},\n            end:{type:'label',xValue:7,yValue:2080,content:['2 150'],font:{family:'-apple-system',size:14,weight:'700'},color:PINK,xAdjust:xAdj(7,22,-22)}\n          }}\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE},border:{display:false}},\n          y:{min:2000,max:2700,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:200,callback:function(v){return fmt(v);}}}\n        }\n      }\n    });\n  }\n})();\n<\/script>\n\n<\/div>\n\n\n<!-- lean-mesh-v6 -->\n<aside class=\"lean-mesh\" style=\"margin:48px auto;max-width:760px;padding:24px 28px;background:#ffffff;border-left:4px solid #FF2D6E;border-radius:0 12px 12px 0;box-shadow:0 6px 24px rgba(20,20,40,0.06);font-family:-apple-system,'SF Pro Text','Segoe UI',Roboto,Arial,sans-serif;color:#1a1a2e;\"><p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">Also read<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"\/en\/comparatifs\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">All Lean comparisons face to the major calorie apps <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hub: MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret, Noom.<\/span><\/a><\/li><li><a href=\"\/en\/lean-vs-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean vs MyFitnessPal: the TDEE formula that changes everything <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Why MyFitnessPal miscalculates your real calorie expenditure.<\/span><\/a><\/li><li><a href=\"\/en\/lean-vs-yazio\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean vs Yazio: scientific precision vs European ergonomics <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Honest comparison: BMR, NEAT, EAT, TEF, adaptation.<\/span><\/a><\/li><li><a href=\"\/en\/lean-vs-cronometer\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean vs Cronometer: micronutrient depth versus TDEE precision <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Cronometer sees your micronutrients. Lean sees your real expenditure.<\/span><\/a><\/li><li><a href=\"\/en\/lean-vs-lifesum\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean vs Lifesum: premium diet coaching versus TDEE precision <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lifesum sells dietary wrapping. Lean rebuilds your TDEE continuously.<\/span><\/a><\/li><li><a href=\"\/en\/lean-vs-noom\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean vs Noom: psychological coaching versus metabolic precision <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Noom changes your habits. Lean measures your expenditure. Coaching doesn't replace measurement.<\/span><\/a><\/li><li><a href=\"\/en\/alternative-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Alternative to MyFitnessPal: the 5 real options in 2026 <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Honest comparison: Lean, Yazio, Cronometer, Lifesum, FatSecret.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean TDEE Calculator Home &nbsp;\/&nbsp; Lean vs FatSecret Comparison &middot; Nutrition &amp; TDEE Lean vs FatSecret. Premium precision vs the free community database. FatSecret is free and has a large community. Lean sees your real expenditure on an official database. Two promises that do not play on the same field. The Lean team &middot; Read 12&nbsp;min &middot; Updated [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1424","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Lean vs FatSecret: Premium precision vs the free community database - Lean<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lean-app.com\/en\/lean-vs-fatsecret\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lean vs FatSecret: Premium precision vs the free community database - Lean\" \/>\n<meta property=\"og:description\" content=\"Lean TDEE Calculator Home &nbsp;\/&nbsp; Lean vs FatSecret Comparison &middot; Nutrition &amp; TDEE Lean vs FatSecret. Premium precision vs the free community database. FatSecret is free and has a large community. Lean sees your real expenditure on an official database. Two promises that do not play on the same field. The Lean team &middot; Read 12&nbsp;min &middot; Updated [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lean-app.com\/en\/lean-vs-fatsecret\/\" \/>\n<meta property=\"og:site_name\" content=\"Lean\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr\" \/>\n<meta property=\"article:published_time\" content=\"2026-05-24T15:29:25+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-05-24T17:57:36+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" \/>\n<meta name=\"author\" content=\"fleboy\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"fleboy\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"30 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-fatsecret\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-fatsecret\/\"},\"author\":{\"name\":\"fleboy\",\"@id\":\"https:\/\/lean-app.com\/#\/schema\/person\/b8edc66875f72aab05563a8305d16c48\"},\"headline\":\"Lean vs FatSecret: Premium precision vs the free community database\",\"datePublished\":\"2026-05-24T15:29:25+00:00\",\"dateModified\":\"2026-05-24T17:57:36+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-fatsecret\/\"},\"wordCount\":6179,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-fatsecret\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/lean-app.com\/lean-vs-fatsecret\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-fatsecret\/\",\"url\":\"https:\/\/lean-app.com\/lean-vs-fatsecret\/\",\"name\":\"Lean vs FatSecret: Premium precision vs the free community database - Lean\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-fatsecret\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-fatsecret\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"datePublished\":\"2026-05-24T15:29:25+00:00\",\"dateModified\":\"2026-05-24T17:57:36+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-fatsecret\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lean-app.com\/lean-vs-fatsecret\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-fatsecret\/#primaryimage\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-fatsecret\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/lean-app.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Lean vs FatSecret: Premium precision vs the free community database\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/lean-app.com\/#website\",\"url\":\"https:\/\/lean-app.com\/\",\"name\":\"Lean\",\"description\":\"Download and try the app for FREE \u2014 take control of your body FOR LIFE.Download and try the app for FREE \u2014 take control of your body FOR LIFE.\",\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/lean-app.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/lean-app.com\/#organization\",\"name\":\"Lean\",\"url\":\"https:\/\/lean-app.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/lean-app.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png\",\"width\":1672,\"height\":1484,\"caption\":\"Lean\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/lean-app.com\/#\/schema\/person\/b8edc66875f72aab05563a8305d16c48\",\"name\":\"fleboy\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/lean-app.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/f154b8b7d1228ffdb9ef5c92fc8774413a2cefd1bd6ba6021b9f7bdbd705ca73?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/f154b8b7d1228ffdb9ef5c92fc8774413a2cefd1bd6ba6021b9f7bdbd705ca73?s=96&d=mm&r=g\",\"caption\":\"fleboy\"},\"sameAs\":[\"https:\/\/lean-app.com\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Lean vs FatSecret: Premium precision vs the free community database - Lean","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/lean-app.com\/en\/lean-vs-fatsecret\/","og_locale":"en_US","og_type":"article","og_title":"Lean vs FatSecret: Premium precision vs the free community database - Lean","og_description":"Lean TDEE Calculator Home &nbsp;\/&nbsp; Lean vs FatSecret Comparison &middot; Nutrition &amp; TDEE Lean vs FatSecret. Premium precision vs the free community database. FatSecret is free and has a large community. Lean sees your real expenditure on an official database. Two promises that do not play on the same field. The Lean team &middot; Read 12&nbsp;min &middot; Updated [&hellip;]","og_url":"https:\/\/lean-app.com\/en\/lean-vs-fatsecret\/","og_site_name":"Lean","article_publisher":"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","article_published_time":"2026-05-24T15:29:25+00:00","article_modified_time":"2026-05-24T17:57:36+00:00","og_image":[{"url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","type":"","width":"","height":""}],"author":"fleboy","twitter_card":"summary_large_image","twitter_misc":{"Written by":"fleboy","Est. reading time":"30 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/lean-app.com\/lean-vs-fatsecret\/#article","isPartOf":{"@id":"https:\/\/lean-app.com\/lean-vs-fatsecret\/"},"author":{"name":"fleboy","@id":"https:\/\/lean-app.com\/#\/schema\/person\/b8edc66875f72aab05563a8305d16c48"},"headline":"Lean vs FatSecret: Premium precision vs the free community database","datePublished":"2026-05-24T15:29:25+00:00","dateModified":"2026-05-24T17:57:36+00:00","mainEntityOfPage":{"@id":"https:\/\/lean-app.com\/lean-vs-fatsecret\/"},"wordCount":6179,"commentCount":0,"publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"image":{"@id":"https:\/\/lean-app.com\/lean-vs-fatsecret\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/lean-app.com\/lean-vs-fatsecret\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/lean-app.com\/lean-vs-fatsecret\/","url":"https:\/\/lean-app.com\/lean-vs-fatsecret\/","name":"Lean vs FatSecret: Premium precision vs the free community database - Lean","isPartOf":{"@id":"https:\/\/lean-app.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lean-app.com\/lean-vs-fatsecret\/#primaryimage"},"image":{"@id":"https:\/\/lean-app.com\/lean-vs-fatsecret\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","datePublished":"2026-05-24T15:29:25+00:00","dateModified":"2026-05-24T17:57:36+00:00","breadcrumb":{"@id":"https:\/\/lean-app.com\/lean-vs-fatsecret\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lean-app.com\/lean-vs-fatsecret\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/lean-app.com\/lean-vs-fatsecret\/#primaryimage","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp"},{"@type":"BreadcrumbList","@id":"https:\/\/lean-app.com\/lean-vs-fatsecret\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/lean-app.com\/"},{"@type":"ListItem","position":2,"name":"Lean vs FatSecret: Premium precision vs the free community database"}]},{"@type":"WebSite","@id":"https:\/\/lean-app.com\/#website","url":"https:\/\/lean-app.com\/","name":"Lean","description":"Download and try the app for FREE \u2014 take control of your body FOR LIFE.Download and try the app for FREE \u2014 take control of your body FOR LIFE.","publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/lean-app.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/lean-app.com\/#organization","name":"Lean","url":"https:\/\/lean-app.com\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/lean-app.com\/#\/schema\/logo\/image\/","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png","width":1672,"height":1484,"caption":"Lean"},"image":{"@id":"https:\/\/lean-app.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr"]},{"@type":"Person","@id":"https:\/\/lean-app.com\/#\/schema\/person\/b8edc66875f72aab05563a8305d16c48","name":"fleboy","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/lean-app.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/f154b8b7d1228ffdb9ef5c92fc8774413a2cefd1bd6ba6021b9f7bdbd705ca73?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/f154b8b7d1228ffdb9ef5c92fc8774413a2cefd1bd6ba6021b9f7bdbd705ca73?s=96&d=mm&r=g","caption":"fleboy"},"sameAs":["https:\/\/lean-app.com"]}]}},"_links":{"self":[{"href":"https:\/\/lean-app.com\/en\/wp-json\/wp\/v2\/posts\/1424","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lean-app.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lean-app.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lean-app.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lean-app.com\/en\/wp-json\/wp\/v2\/comments?post=1424"}],"version-history":[{"count":0,"href":"https:\/\/lean-app.com\/en\/wp-json\/wp\/v2\/posts\/1424\/revisions"}],"wp:attachment":[{"href":"https:\/\/lean-app.com\/en\/wp-json\/wp\/v2\/media?parent=1424"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lean-app.com\/en\/wp-json\/wp\/v2\/categories?post=1424"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lean-app.com\/en\/wp-json\/wp\/v2\/tags?post=1424"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}