{"id":1493,"date":"2026-05-26T09:49:32","date_gmt":"2026-05-26T09:49:32","guid":{"rendered":"https:\/\/lean-app.com\/?p=1493"},"modified":"2026-05-28T08:24:54","modified_gmt":"2026-05-28T08:24:54","slug":"meilleures-applications-calories-2026","status":"publish","type":"post","link":"https:\/\/lean-app.com\/en\/meilleures-applications-calories-2026\/","title":{"rendered":"Meilleures applications pour compter les calories en 2026 : comparatif honn\u00eate (8 apps test\u00e9es)"},"content":{"rendered":"<script type=\"application\/ld+json\">\n{\n\"@context\": \"https:\/\/schema.org\",\n\"@type\": \"Article\",\n\"mainEntityOfPage\": {\n\"@type\": \"WebPage\",\n\"@id\": \"https:\/\/www.lean-app.com\/meilleures-applications-calories-2026\/\"\n},\n\"headline\": \"Meilleures applications pour compter les calories 2026 : comparatif complet (8 apps test\u00e9es)\",\n\"description\": \"Ranking 2026 des 8 meilleures applications compteur de calories : Lean, Cronometer, MyFitnessPal, Foodvisor, Yazio, FatSecret, Lifesum, Noom. 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Score global 9,1\/10.\"},\n{\"@type\": \"ListItem\", \"position\": 2, \"name\": \"Cronometer\", \"url\": \"https:\/\/cronometer.com\/\", \"description\": \"R\u00e9f\u00e9rence micronutriments avec base USDA, 80+ micronutriments track\u00e9s. Score 7,25\/10.\"},\n{\"@type\": \"ListItem\", \"position\": 3, \"name\": \"MyFitnessPal\", \"url\": \"https:\/\/www.myfitnesspal.com\/\", \"description\": \"Base de donn\u00e9es la plus large du march\u00e9 (14M+ aliments), scanner d\u00e9sormais payant. Score 6,4\/10.\"},\n{\"@type\": \"ListItem\", \"position\": 4, \"name\": \"Foodvisor\", \"url\": \"https:\/\/www.foodvisor.io\/\", \"description\": \"Scan IA fran\u00e7ais d'un plat en photo, alternative locale solide. Score 5,95\/10.\"},\n{\"@type\": \"ListItem\", \"position\": 5, \"name\": \"Yazio\", \"url\": \"https:\/\/www.yazio.com\/\", \"description\": \"UX claire allemande, recettes int\u00e9gr\u00e9es, formule TDEE classique. Score 5,7\/10.\"},\n{\"@type\": \"ListItem\", \"position\": 6, \"name\": \"FatSecret\", \"url\": \"https:\/\/www.fatsecret.com\/\", \"description\": \"100% gratuit avec scanner code-barres, interface vieillissante. Score 5,65\/10.\"},\n{\"@type\": \"ListItem\", \"position\": 7, \"name\": \"Lifesum\", \"url\": \"https:\/\/lifesum.com\/\", \"description\": \"UX premium su\u00e9doise, plans repas th\u00e9matiques, payant int\u00e9gral. Score 5,45\/10.\"},\n{\"@type\": \"ListItem\", \"position\": 8, \"name\": \"Noom\", \"url\": \"https:\/\/www.noom.com\/\", \"description\": \"Coaching psycho-comportemental, faible pr\u00e9cision calorique. 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Si tu veux progresser sur une s\u00e8che, le gratuit n'est pas la bonne grille de lecture.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Quelle app remplace MyFitnessPal maintenant qu'il est payant ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Tout d\u00e9pend de pourquoi tu utilisais MyFitnessPal. Pour la base de donn\u00e9es scannable la plus large, MFP reste leader, juste payant. Pour 100% gratuit avec scan code-barres, FatSecret. Pour les micronutriments, Cronometer. Pour la pr\u00e9cision TDEE en s\u00e8che ou recomp, Lean (seule app \u00e0 int\u00e9grer le bodyfat r\u00e9el via BodyScan IA dans le calcul BMR). Pour le scan IA d'un plat en photo, Foodvisor ou Lean. Il n'y a plus de rempla\u00e7ant universel \u00e0 MFP en 2026 : le march\u00e9 s'est fragment\u00e9 par usage.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Quelle app scanne les photos de plats avec IA ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Trois apps proposent un scan IA cr\u00e9dible en 2026 : Foodvisor (fran\u00e7ais, base de donn\u00e9es fran\u00e7aise robuste), Lean (combin\u00e9 avec BodyScan et TDEE pr\u00e9cis) et Cal AI (100% scan, pas de base, niveau de pr\u00e9cision faible). Foodvisor est le meilleur choix si tu veux uniquement scanner. Lean est meilleur si tu veux \u00e0 la fois scanner et tracker ta d\u00e9pense calorique r\u00e9elle. Cal AI reste un gadget tant qu'il n'est pas coupl\u00e9 \u00e0 une vraie base nutritionnelle.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Quelle est la formule TDEE la plus pr\u00e9cise utilis\u00e9e par une app ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"La plupart des apps utilisent Harris-Benedict 1919 (MyFitnessPal, Yazio en partie, FatSecret) ou Mifflin-St Jeor 1990 (Cronometer, Lifesum). Cronometer propose Katch-McArdle si tu renseignes ton bodyfat manuellement. Aucune de ces formules ne mod\u00e9lise l'adaptation m\u00e9tabolique. Lean utilise un mod\u00e8le propri\u00e9taire brevet\u00e9 qui prend le bodyfat r\u00e9el mesur\u00e9 via BodyScan IA et qui module le BMR par un coefficient d'adaptation m\u00e9tabolique en temps r\u00e9el. 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22px;padding-left:22px;color:var(--ink-2)}\nbody.postid-1493 #lvm-shell li{margin-bottom:8px}\nbody.postid-1493 #lvm-shell a.inline{color:var(--pink);text-decoration:underline;text-decoration-thickness:1px;text-underline-offset:3px}\nbody.postid-1493 #lvm-shell a.inline:hover{text-decoration-thickness:2px}\nbody.postid-1493 #lvm-shell .statement{margin:48px 0;padding:32px 0;border-top:1px solid var(--rule);border-bottom:1px solid var(--rule);text-align:left}\nbody.postid-1493 #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}\nbody.postid-1493 #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}\nbody.postid-1493 #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}\nbody.postid-1493 #lvm-shell .fig-head{display:flex;justify-content:space-between;align-items:baseline;margin-bottom:18px}\nbody.postid-1493 #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)}\nbody.postid-1493 #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}\nbody.postid-1493 #lvm-shell .fig-body{position:relative}\nbody.postid-1493 #lvm-shell .fig-cap{margin:18px 4px 0;font-size:14px;color:var(--muted);line-height:1.5}\nbody.postid-1493 #lvm-shell .fig-cap strong{color:var(--ink);font-weight:600}\nbody.postid-1493 #lvm-shell .cv-wrap{position:relative;height:360px}\nbody.postid-1493 #lvm-shell [data-term]{position:relative;cursor:help;border-bottom:1px dotted var(--dim)}\nbody.postid-1493 #lvm-shell [data-term]:hover{color:var(--ink)}\nbody.postid-1493 #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)}\nbody.postid-1493 #lvm-shell .tt::after{content:\"\";position:absolute;top:100%;left:50%;transform:translateX(-50%);border:6px solid transparent;border-top-color:#0c0c0c}\nbody.postid-1493 #lvm-shell [data-term]:hover .tt, body.postid-1493 #lvm-shell [data-term]:focus .tt{opacity:1;visibility:visible}\nbody.postid-1493 #lvm-shell .table{margin:24px 0;border:1px solid var(--rule);border-radius:16px;overflow:hidden;background:#fff}\nbody.postid-1493 #lvm-shell .table-row{display:grid;grid-template-columns:1.55fr 1fr 1fr;border-bottom:1px solid var(--rule-soft);min-height:60px}\nbody.postid-1493 #lvm-shell .table-row:last-child{border-bottom:0}\nbody.postid-1493 #lvm-shell .table-row.head{background:var(--ink);color:#fff;border-bottom:0}\nbody.postid-1493 #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}\nbody.postid-1493 #lvm-shell .table-row.head .brand-cell{justify-content:flex-start}\nbody.postid-1493 #lvm-shell .table-row.head .brand-cell img{width:24px;height:24px;border-radius:6px;background:#fff;object-fit:cover}\nbody.postid-1493 #lvm-shell .table-row.head .brand-cell.lean{color:#FFB8CE}\nbody.postid-1493 #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)}\nbody.postid-1493 #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)}\nbody.postid-1493 #lvm-shell .table-row > .cell:last-child{border-right:0}\nbody.postid-1493 #lvm-shell .table-row > .cell.lean{background:var(--pink-soft);position:relative}\nbody.postid-1493 #lvm-shell .table-row > .cell.lean::before{content:\"\";position:absolute;left:0;top:0;bottom:0;width:2px;background:var(--pink)}\nbody.postid-1493 #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}\nbody.postid-1493 #lvm-shell .icn.ok{background:var(--green)}\nbody.postid-1493 #lvm-shell .icn.no{background:var(--red)}\nbody.postid-1493 #lvm-shell .icn.mid{background:var(--amber)}\nbody.postid-1493 #lvm-shell .icn svg{width:11px;height:11px}\nbody.postid-1493 #lvm-shell .mini-row{display:grid;grid-template-columns:repeat(3,1fr);gap:22px;margin:28px 0}\nbody.postid-1493 #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%}\nbody.postid-1493 #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}\nbody.postid-1493 #lvm-shell .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\nbody.postid-1493 #lvm-shell .mini-phone .scr img{width:100%;height:100%;object-fit:cover}\nbody.postid-1493 #lvm-shell .mini-phone.tiny{max-width:148px;padding:2px;border-radius:20px;border-width:1px}\nbody.postid-1493 #lvm-shell .mini-phone.tiny .notch{width:30px;height:8px;border-radius:0 0 5px 5px}\nbody.postid-1493 #lvm-shell .mini-phone.tiny .scr{border-radius:17px}\nbody.postid-1493 #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)}\nbody.postid-1493 #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}\nbody.postid-1493 #lvm-shell .duo-row{display:grid;grid-template-columns:repeat(2,1fr);gap:20px;margin:18px 0 0}\nbody.postid-1493 #lvm-shell .duo-row .mini-phone{max-width:180px}\nbody.postid-1493 #lvm-shell .method{display:grid;grid-template-columns:1fr 1.4fr;gap:36px;align-items:center;margin:42px 0}\nbody.postid-1493 #lvm-shell .method.flip{grid-template-columns:1.4fr 1fr}\nbody.postid-1493 #lvm-shell .method.flip .m-phone{order:2}\nbody.postid-1493 #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}\nbody.postid-1493 #lvm-shell .method h3{margin-top:0}\nbody.postid-1493 #lvm-shell .method p{font-size:16px;color:var(--muted);line-height:1.7}\nbody.postid-1493 #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)}\nbody.postid-1493 #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}\nbody.postid-1493 #lvm-shell .cta-band .stores{display:flex;gap:10px;align-items:center}\nbody.postid-1493 #lvm-shell .cta-band .stores a{line-height:0;transition:transform .15s}\nbody.postid-1493 #lvm-shell .cta-band .stores a:hover{transform:translateY(-2px)}\nbody.postid-1493 #lvm-shell .cta-band .stores img{height:42px;width:auto;border-radius:9px}\nbody.postid-1493 #lvm-shell .pyramid{margin:30px auto;max-width:440px}\nbody.postid-1493 #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)}\nbody.postid-1493 #lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\nbody.postid-1493 #lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\nbody.postid-1493 #lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\nbody.postid-1493 #lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\nbody.postid-1493 #lvm-shell .pyramid .l4{background:var(--pink);width:52%}\nbody.postid-1493 #lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\/* Section 7 honnetete : scorecard horizontal bars *\/\nbody.postid-1493 #lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\nbody.postid-1493 #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)}\nbody.postid-1493 #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)}\nbody.postid-1493 #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)}\nbody.postid-1493 #lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\nbody.postid-1493 #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)}\nbody.postid-1493 #lvm-shell .scorecard-row:last-child{border-bottom:0}\nbody.postid-1493 #lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\nbody.postid-1493 #lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\nbody.postid-1493 #lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\nbody.postid-1493 #lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\nbody.postid-1493 #lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\nbody.postid-1493 #lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\nbody.postid-1493 #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\/* Section 8 pour qui : persona checklist *\/\nbody.postid-1493 #lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\nbody.postid-1493 #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}\nbody.postid-1493 #lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\nbody.postid-1493 #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)}\nbody.postid-1493 #lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\nbody.postid-1493 #lvm-shell .persona-it .pic svg{width:24px;height:24px}\nbody.postid-1493 #lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\nbody.postid-1493 #lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\nbody.postid-1493 #lvm-shell .persona-it.match h4{color:var(--ink)}\n\/* Section 9 migration : timeline steps *\/\nbody.postid-1493 #lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\nbody.postid-1493 #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}\nbody.postid-1493 #lvm-shell .step{position:relative;padding-top:24px;z-index:1}\nbody.postid-1493 #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)}\nbody.postid-1493 #lvm-shell 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summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\nbody.postid-1493 #lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\nbody.postid-1493 #lvm-shell .faq details[open] summary{color:var(--pink)}\nbody.postid-1493 #lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\nbody.postid-1493 #lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\nbody.postid-1493 #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}\nbody.postid-1493 #lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\nbody.postid-1493 #lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\nbody.postid-1493 #lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\nbody.postid-1493 #lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\nbody.postid-1493 #lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\nbody.postid-1493 #lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\nbody.postid-1493 #lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\nbody.postid-1493 #lvm-shell .sources ol{padding-left:22px}\nbody.postid-1493 #lvm-shell .sources li{margin-bottom:8px}\nbody.postid-1493 #lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\nbody.postid-1493 #lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\nbody.postid-1493 #lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\nbody.postid-1493 #lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\nbody.postid-1493 #lvm-shell footer .stores{display:flex;gap:8px}\nbody.postid-1493 #lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\nbody.postid-1493 #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)}\nbody.postid-1493 #lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){body.postid-1493 #lvm-shell .rev{transition:none;opacity:1;transform:none}}\n@media (max-width:760px){\nbody.postid-1493 #lvm-shell .nav-row{padding:8px 18px;gap:8px}\nbody.postid-1493 #lvm-shell .nav-link{display:none}\nbody.postid-1493 #lvm-shell .nav-stores img{height:24px}\nbody.postid-1493 #lvm-shell .wrap{padding:0 22px}\nbody.postid-1493 #lvm-shell .hero{padding:34px 0 0}\nbody.postid-1493 #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\nbody.postid-1493 #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\nbody.postid-1493 #lvm-shell .dek{font-size:20px}\nbody.postid-1493 #lvm-shell .hero-stores img{height:42px}\nbody.postid-1493 #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\nbody.postid-1493 #lvm-shell .phone-wrap{order:-1}\nbody.postid-1493 #lvm-shell .phone{width:240px}\nbody.postid-1493 #lvm-shell .tap-hint.desktop{display:none}\nbody.postid-1493 #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\nbody.postid-1493 #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\nbody.postid-1493 #lvm-shell .snippet{padding:24px 22px}\nbody.postid-1493 #lvm-shell .snippet p{font-size:18px}\nbody.postid-1493 #lvm-shell section{padding:48px 0}\nbody.postid-1493 #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\nbody.postid-1493 #lvm-shell h3{font-size:24px}\nbody.postid-1493 #lvm-shell .section-label{margin-bottom:22px}\nbody.postid-1493 #lvm-shell .statement{padding:24px 0;margin:32px 0}\nbody.postid-1493 #lvm-shell .statement .num{font-size:44px}\nbody.postid-1493 #lvm-shell .statement .lbl{font-size:19px}\nbody.postid-1493 #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\nbody.postid-1493 #lvm-shell .cv-wrap{height:310px}\nbody.postid-1493 #lvm-shell .method{grid-template-columns:1fr;gap:20px}\nbody.postid-1493 #lvm-shell .method.flip{grid-template-columns:1fr}\nbody.postid-1493 #lvm-shell .method.flip .m-phone{order:0}\nbody.postid-1493 #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\nbody.postid-1493 #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\nbody.postid-1493 #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\nbody.postid-1493 #lvm-shell .mini-phone .scr{border-radius:15px}\nbody.postid-1493 #lvm-shell .mini-cap{font-size:10px}\nbody.postid-1493 #lvm-shell .mini-cap strong{font-size:13px}\nbody.postid-1493 #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\nbody.postid-1493 #lvm-shell .duo-row .mini-phone{max-width:130px}\nbody.postid-1493 #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\nbody.postid-1493 #lvm-shell .steps::before{display:none}\nbody.postid-1493 #lvm-shell .step{padding-top:0;padding-left:24px}\nbody.postid-1493 #lvm-shell .step::before{top:6px;left:0}\nbody.postid-1493 #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\nbody.postid-1493 #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\nbody.postid-1493 #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\nbody.postid-1493 #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\nbody.postid-1493 #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\nbody.postid-1493 #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\nbody.postid-1493 #lvm-shell .get-band h3{font-size:28px}\nbody.postid-1493 #lvm-shell .get-band .stores img{height:50px}\nbody.postid-1493 #lvm-shell .cta-band{padding:22px;gap:14px}\nbody.postid-1493 #lvm-shell .cta-band .l{font-size:16px;min-width:0}\nbody.postid-1493 #lvm-shell .cta-band .stores img{height:38px}\nbody.postid-1493 #lvm-shell .faq summary{font-size:18px;gap:14px}\nbody.postid-1493 #lvm-shell .pyramid{max-width:100%}\nbody.postid-1493 #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\nbody.postid-1493 #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\nbody.postid-1493 #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\nbody.postid-1493 #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\nbody.postid-1493 #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\nbody.postid-1493 #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\nbody.postid-1493 #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\nbody.postid-1493 #lvm-shell .scorecard-row .bar{gap:6px}\nbody.postid-1493 #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\nbody.postid-1493 #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\nbody.postid-1493 #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\nbody.postid-1493 #lvm-shell .persona-it h4{font-size:15px}\nbody.postid-1493 #lvm-shell .persona-it p{font-size:13px}\nbody.postid-1493 #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\nbody.postid-1493 #lvm-shell .feat-it .fn{font-size:36px;width:54px}\nbody.postid-1493 #lvm-shell .feat-it .ft{font-size:18px}\nbody.postid-1493 #lvm-shell .feat-it .fd{font-size:13px}\nbody.postid-1493 #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\nbody.postid-1493 #lvm-shell .phone-tabs{gap:5px}\nbody.postid-1493 #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\nbody.postid-1493 #lvm-shell .nav-stores{gap:4px}\nbody.postid-1493 #lvm-shell .nav-stores img{height:22px}\nbody.postid-1493 #lvm-shell .hero-stores img{height:40px}\nbody.postid-1493 #lvm-shell .crumb{font-size:12px}\nbody.postid-1493 #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\nbody.postid-1493 #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\nbody.postid-1493 #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\nbody.postid-1493 #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}\n\/* === Comparator 5\u00d75 table (article #17 hub) === *\/\nbody.postid-1493 #lvm-shell .alts-table{margin:32px 0 22px;border:1px solid var(--rule);border-radius:14px;overflow:hidden;background:#fff}\nbody.postid-1493 #lvm-shell .atr{display:grid;grid-template-columns:1.3fr repeat(5,1fr);border-bottom:1px solid var(--rule)}\nbody.postid-1493 #lvm-shell .atr:last-child{border-bottom:0}\nbody.postid-1493 #lvm-shell .atr-head{background:#FAF7F2}\nbody.postid-1493 #lvm-shell .ah, body.postid-1493 #lvm-shell .ac{padding:14px 12px;font-size:13px;line-height:1.45;border-right:1px solid var(--rule);display:flex;flex-direction:column;gap:6px}\nbody.postid-1493 #lvm-shell .ah:last-child, body.postid-1493 #lvm-shell .ac:last-child{border-right:0}\nbody.postid-1493 #lvm-shell .ah{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.06em;color:var(--ink);font-weight:600;align-items:flex-start;justify-content:center}\nbody.postid-1493 #lvm-shell .ah.app{font-family:var(--font-display);font-size:15px;letter-spacing:-.01em;text-transform:none;text-align:center;align-items:center}\nbody.postid-1493 #lvm-shell .ah.app strong{color:var(--pink);font-weight:600}\nbody.postid-1493 #lvm-shell .ah.crit{background:#F4EFE7}\nbody.postid-1493 #lvm-shell .ac.crit{background:#FAF7F2;font-family:var(--font-mono);font-size:12px;text-transform:uppercase;letter-spacing:.05em;color:var(--ink);font-weight:600;justify-content:center}\nbody.postid-1493 #lvm-shell .ac .t{color:var(--muted);font-size:12px;line-height:1.4}\nbody.postid-1493 #lvm-shell .ac.lean{background:#FFF5F8;position:relative}\nbody.postid-1493 #lvm-shell .ac.lean::after{content:\"\";position:absolute;left:0;top:0;bottom:0;width:2px;background:var(--pink)}\nbody.postid-1493 #lvm-shell .dot{display:inline-block;width:64px;height:8px;border-radius:4px;background:#EEE7DC;position:relative;overflow:hidden;flex-shrink:0}\nbody.postid-1493 #lvm-shell .dot::before{content:\"\";position:absolute;left:0;top:0;bottom:0;background:var(--pink);width:20%}\nbody.postid-1493 #lvm-shell .dot.dot-1::before{width:20%;background:#B8B8B8}\nbody.postid-1493 #lvm-shell .dot.dot-2::before{width:40%;background:#D8B860}\nbody.postid-1493 #lvm-shell .dot.dot-3::before{width:60%;background:#E89E60}\nbody.postid-1493 #lvm-shell .dot.dot-4::before{width:80%;background:#FF6B8E}\nbody.postid-1493 #lvm-shell .dot.dot-5::before{width:100%;background:var(--pink)}\nbody.postid-1493 #lvm-shell .check, body.postid-1493 #lvm-shell .cross{display:inline-flex;align-items:center;justify-content:center;width:22px;height:22px;border-radius:50%;color:#fff;font-weight:800;font-size:13px;line-height:1;flex-shrink:0;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',sans-serif}\nbody.postid-1493 #lvm-shell .check{background:#16A34A}\nbody.postid-1493 #lvm-shell .cross{background:#DC2626;font-size:12px}\n@media (max-width:760px){\nbody.postid-1493 #lvm-shell .alts-table{border-radius:10px}\nbody.postid-1493 #lvm-shell .atr{grid-template-columns:1fr;border-bottom:2px solid var(--rule)}\nbody.postid-1493 #lvm-shell .atr-head{display:none}\nbody.postid-1493 #lvm-shell .ah, body.postid-1493 #lvm-shell .ac{border-right:0;border-bottom:1px solid var(--rule-soft);padding:10px 14px}\nbody.postid-1493 #lvm-shell .ac.crit{font-size:12px;background:#FFF5F8;color:var(--pink);padding:14px 14px 6px;border-bottom:0}\nbody.postid-1493 #lvm-shell .ac:not(.crit){flex-direction:row;align-items:center;gap:10px}\nbody.postid-1493 #lvm-shell .dot{width:48px}\n}\n\/* === Migration cards === *\/\nbody.postid-1493 #lvm-shell .alts-mig{display:grid;grid-template-columns:1fr;gap:14px;margin:24px 0}\nbody.postid-1493 #lvm-shell .amig{border:1px solid var(--rule);border-radius:14px;padding:20px 22px;background:#fff}\nbody.postid-1493 #lvm-shell .amig-h{display:flex;align-items:center;gap:14px;margin-bottom:8px}\nbody.postid-1493 #lvm-shell .amig-num{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--pink);width:34px;height:34px;border:2px solid var(--pink);border-radius:50%;display:flex;align-items:center;justify-content:center;letter-spacing:-.02em;flex-shrink:0}\nbody.postid-1493 #lvm-shell .amig-t{font-family:var(--font-display);font-size:17px;font-weight:600;letter-spacing:-.015em;color:var(--ink);line-height:1.25}\nbody.postid-1493 #lvm-shell .amig-q{margin:0;font-size:15px;line-height:1.55;color:var(--muted)}\nbody.postid-1493 #lvm-shell .amig-q strong{color:var(--ink)}\n@media (min-width:761px){body.postid-1493 #lvm-shell .alts-mig{grid-template-columns:1fr 1fr}}<\/style>\n<style id=\"lvm-collision-reset\">\nbody.postid-1493 #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-1493 #lvm-shell .wrap,\nbody.postid-1493 #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){\nbody.postid-1493 #lvm-shell .wrap,\nbody.postid-1493 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1493 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1493 #lvm-shell *{max-width:100%}\nbody.postid-1493 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1493 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\/* WCAG AA color upgrade on rose links *\/\nbody.postid-1493 #lvm-shell .eyebrow,\nbody.postid-1493 #lvm-shell .section-label .num,\nbody.postid-1493 #lvm-shell .kicker,\nbody.postid-1493 #lvm-shell a.inline{color:#C7164C!important}\nbody.postid-1493 #lvm-shell a.inline{text-decoration:underline!important;text-decoration-thickness:1px!important;text-underline-offset:2px!important}\nbody.postid-1493 #lvm-shell .snippet .lbl{color:#4D4D52!important}\nbody.postid-1493 #lvm-shell .get-band p{color:#4D4D52!important}\n\/* YouTube embed mobile *\/\n@media (max-width:760px){\nbody.postid-1493 #lvm-shell .yt-embed{margin:14px -4px 18px!important;border-radius:10px!important}\n}\n\/* CTA \/ get-band mobile *\/\n@media (max-width:760px){\nbody.postid-1493 #lvm-shell .cta-band{flex-direction:column!important;align-items:stretch!important;text-align:center!important;padding:22px 18px!important;gap:14px!important}\nbody.postid-1493 #lvm-shell .get-band{padding:38px 22px!important}\nbody.postid-1493 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\nbody.postid-1493 #lvm-shell .get-band p{font-size:15px!important}\nbody.postid-1493 #lvm-shell .hero-stores,\nbody.postid-1493 #lvm-shell .get-band .stores,\nbody.postid-1493 #lvm-shell .cta-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\nbody.postid-1493 #lvm-shell .hero-stores a,\nbody.postid-1493 #lvm-shell .get-band .stores a,\nbody.postid-1493 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\nbody.postid-1493 #lvm-shell .hero-stores img,\nbody.postid-1493 #lvm-shell .get-band .stores img,\nbody.postid-1493 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;border-radius:10px!important}\n}\n\/* Scoring table mobile : horizontal scroll OK natif *\/\n@media (max-width:760px){\nbody.postid-1493 #lvm-shell table th,\nbody.postid-1493 #lvm-shell table td{padding:10px 6px!important;font-size:13px!important}\n}\n<\/style>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\nsetTimeout(function(){\nvar shell = document.getElementById('lvm-shell');\nif(!shell) return;\nvar anyOn = shell.querySelector('.rev.on');\nif(!anyOn){ shell.classList.add('force-show'); }\n}, 2000);\n})();\n<\/script>\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\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\/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?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=hub-calories-2026\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download on the App Store\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/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&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=hub-calories-2026\" target=\"_blank\" rel=\"noopener\" aria-label=\"Available on Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n<main class=\"wrap\">\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/en\/\">Home<\/a> &nbsp;\/&nbsp; <a href=\"https:\/\/lean-app.com\/en\/comparatifs\/\">Comparisons<\/a> &nbsp;\/\u00a0 Best calorie apps 2026<\/div>\n  <div class=\"eyebrow\">2026 comparison \u00b7 8 apps tested<\/div>\n  <h1 id=\"title\">Best calorie tracking apps in 2026.\n    <span class=\"alt\">The honest comparison, 8 apps scored on 6 weighted criteria.<\/span>\n  <\/h1>\n  <p class=\"dek\">MyFitnessPal is no longer the default choice. Lean, Cronometer, MFP, Foodvisor, Yazio, FatSecret, Lifesum, Noom: transparent multi-criteria scoring, public methodology, verdict by use case. Lean comes out #1 on TDEE accuracy. Why.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>The Lean Team<\/strong> \u00b7 18\u00a0min read \u00b7 Published May 26, 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=hub-calories-2026\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/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&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=hub-calories-2026\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/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  <p style=\"margin:18px 0 8px;font-size:16px;color:var(--muted)\">We tested 8 apps for 6 weeks on the same profiles (cutting, recomp, maintenance), scored each on 6 weighted criteria (TDEE accuracy 30%, logging methods 20%, food database 15%, sport\/cutting 15%, micronutrients 10%, simplicity 10%) and ranked by use case. Methodology details further down. Tier list video by The Lean Team below (100k views on YouTube).<\/p>\n  <div class=\"yt-embed rev\" style=\"position:relative;padding-bottom:56.25%;height:0;overflow:hidden;border-radius:14px;margin:18px 0 22px;background:#000;box-shadow:0 12px 28px rgba(14,14,16,.18)\">\n    <div class=\"lyte-wrapper\" style=\"width:640px;max-width:100%;margin:5px auto;\"><div class=\"lyMe\" id=\"WYL_UVRUk-jXYQM\"><div id=\"lyte_UVRUk-jXYQM\" data-src=\"https:\/\/lean-app.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=%2F%2Fi.ytimg.com%2Fvi%2FUVRUk-jXYQM%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\"><\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/UVRUk-jXYQM\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FUVRUk-jXYQM%2F0.jpg\" alt=\"YouTube video thumbnail\" width=\"640\" height=\"340\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:640px;margin:5px auto;\"><\/div>\n  <\/div>\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">2026 ranking in 30 seconds<\/div>\n    <ol style=\"margin:6px 0 0 18px;padding:0;font-size:15.5px;line-height:1.7\">\n      <li><strong><a class=\"inline\" href=\"#fiche-lean\">Lean<\/a> \u00b7 9.1\/10<\/strong>&nbsp;: the only app that calculates BMR on real body fat (patented proprietary model) and models metabolic adaptation. <strong>#1 for cutting.<\/strong><\/li>\n      <li><strong><a class=\"inline\" href=\"#fiche-cronometer\">Cronometer<\/a> \u00b7 7.25\/10<\/strong>&nbsp;: micronutrient reference, clean USDA database, 80+ vitamins\/minerals tracked. <strong>#1 for micros.<\/strong><\/li>\n      <li><strong><a class=\"inline\" href=\"#fiche-mfp\">MyFitnessPal<\/a> \u00b7 6.4\/10<\/strong>&nbsp;: largest food database (14M foods), barcode scanner now paid. <strong>#1 for database.<\/strong><\/li>\n      <li><strong><a class=\"inline\" href=\"#fiche-foodvisor\">Foodvisor<\/a> \u00b7 5.95\/10<\/strong>&nbsp;: French AI scanning of a plate from photo, solid local alternative. <strong>#1 for AI scanning alone.<\/strong><\/li>\n      <li><strong><a class=\"inline\" href=\"#fiche-yazio\">Yazio<\/a> \u00b7 5.7\/10<\/strong>&nbsp;: clean German UX, recipes, usable free version. <strong>#1 for simplicity.<\/strong><\/li>\n      <li><strong><a class=\"inline\" href=\"#fiche-fatsecret\">FatSecret<\/a> \u00b7 5.65\/10<\/strong>&nbsp;: 100% free with barcode scanner, aging interface. <strong>#1 for free.<\/strong><\/li>\n      <li><strong><a class=\"inline\" href=\"#fiche-lifesum\">Lifesum<\/a> \u00b7 5.45\/10<\/strong>&nbsp;: premium Swedish UX, meal plans, fully paid. <strong>#1 for design.<\/strong><\/li>\n      <li><strong><a class=\"inline\" href=\"#fiche-noom\">Noom<\/a> \u00b7 4.4\/10<\/strong>&nbsp;: psycho-behavioral coaching, low calorie accuracy. <strong>#1 for guidance.<\/strong><\/li>\n    <\/ol>\n  <\/div>\n<\/section>\n<section aria-labelledby=\"why-leave\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 \u00b7 Why MFP is no longer the reference<\/span><\/div>\n  <h2 id=\"why-leave\">Why MyFitnessPal is no longer the reference in 2026<\/h2>\n  <p>For 12 years, MyFitnessPal was the default answer to \"which app should I use to count my calories?\". That era is over. Three shifts fragmented the market between 2023 and 2026.<\/p>\n  <div class=\"statement\">\n    <div class=\"num\">1.<\/div>\n    <div class=\"lbl\">The barcode scanner went behind a paywall in 2024. The historic feature that made MFP is now Premium-only. For most free users, that was the trigger for migration.<\/div>\n  <\/div>\n  <div class=\"statement\">\n    <div class=\"num\">2.<\/div>\n    <div class=\"lbl\">The TDEE formula has not changed in 12 years. <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/total-daily-energy-expenditure-tdee\/\">Mifflin-St Jeor 1990<\/a> or Harris-Benedict 1919, take your pick, with no body fat and no metabolic adaptation. For two people at the same weight but at 12% and 28% body fat, the calorie target can be off by 300 to 500 kcal.<\/div>\n  <\/div>\n  <div class=\"statement\">\n    <div class=\"num\">3.<\/div>\n    <div class=\"lbl\">The market has specialized. Cronometer for micros, Foodvisor for French AI scanning, Lean for TDEE accuracy on a cut, Yazio for simplicity, FatSecret for 100% free. There is no longer a \"universal MFP replacement\": there is a best choice per use case.<\/div>\n  <\/div>\n  <p>This comparison gives you that best choice, by use case, with the methodology public. For concrete migration from MFP, we also have a <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/alternative-myfitnesspal\/\">hub dedicated to MyFitnessPal alternatives<\/a>.<\/p>\n<\/section>\n<section aria-labelledby=\"methodo\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 \u00b7 Methodology<\/span><\/div>\n  <h2 id=\"methodo\">Methodology: 6 weighted criteria, transparent scoring<\/h2>\n  <p>Before scoring, we align on the criteria and their weights. The weighting is publicly owned: this comparison values the scientific accuracy of TDEE calculation (30%), because that determines whether you reach your body composition goal. Other weightings are defensible (UX-first, free-first) and would produce a different ranking. Ours is public, you can challenge it.<\/p>\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">1<\/div><div><div class=\"ft\">TDEE calculation accuracy (30%)<\/div><p class=\"fd\">Does the app compute <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/basal-metabolic-rate-bmr\/\">BMR<\/a> + <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/neat-non-exercise-activity-thermogenesis\/\">NEAT<\/a> + <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/eat\/\">EAT<\/a> + <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/thermic-effect-of-food-tef\/\">TEF<\/a>, with or without body fat, under which formula (Harris-Benedict 1919, Mifflin-St Jeor 1990, Cunningham 1980, Katch-McArdle)? Does it model metabolic adaptation in prolonged deficit?<\/p><\/div><div class=\"fc\">30%<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">2<\/div><div><div class=\"ft\">Logging methods (20%)<\/div><p class=\"fd\">How many ways to log a meal: barcode scan, AI photo scan, database search, manual entry, recipes. The more the app covers, the less you quit at day 10.<\/p><\/div><div class=\"fc\">20%<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">3<\/div><div><div class=\"ft\">Food database quality (15%)<\/div><p class=\"fd\">Number of foods listed, accuracy on local brands, openness to contributions, moderation. A large poorly-moderated crowdsourced database is sometimes worth less than a small curated one.<\/p><\/div><div class=\"fc\">15%<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">4<\/div><div><div class=\"ft\">Sport \/ cutting fit (15%)<\/div><p class=\"fd\">Does the app handle a cutting or recomposition goal with smart weekly adjustment? Workout tracking, real METs, HealthKit\/Google Fit integration for steps.<\/p><\/div><div class=\"fc\">15%<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">5<\/div><div><div class=\"ft\">Micronutrients (10%)<\/div><p class=\"fd\">Vitamins, minerals, omega 3\/6 ratios, amino acids tracked. Secondary for 80% of users but critical for \"data nerd\" profiles and specific diets.<\/p><\/div><div class=\"fc\">10%<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">6<\/div><div><div class=\"ft\">Ease of use (10%)<\/div><p class=\"fd\">How many taps to log a meal? Clear onboarding, visual hierarchy, load speed, presence or absence of ads. The criterion that decides retention.<\/p><\/div><div class=\"fc\">10%<\/div><\/div>\n  <\/div>\n  <div class=\"snippet rev\" style=\"margin-top:18px\">\n    <div class=\"lbl\">Note on the YouTube video<\/div>\n    <p>Your <a class=\"inline\" href=\"https:\/\/www.youtube.com\/watch?v=UVRUk-jXYQM\">video tier list<\/a> that The Lean Team published earlier on YouTube applies a different weighting, focused on mainstream usage (logging + simplicity prioritized). The ranking may therefore differ slightly from this written guide, which prioritizes TDEE accuracy for cutting\/recomp profiles. Both are consistent: same raw scores, different acknowledged weighting.<\/p>\n  <\/div>\n<\/section>\n<section aria-labelledby=\"scoring-table\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 \u00b7 Scoring table<\/span><\/div>\n  <h2 id=\"scoring-table\">The detailed scoring table: 8 apps \u00d7 6 criteria<\/h2>\n  <p>Lecture&nbsp;: notes sur 10 par cellule, pond\u00e9r\u00e9es selon la grille publi\u00e9e plus haut. Total final sur 10 par app. Lean ressort #1 gr\u00e2ce \u00e0 10\/10 sur le crit\u00e8re \u00ab&nbsp;pr\u00e9cision TDEE&nbsp;\u00bb (le seul \u00e0 int\u00e9grer bodyfat r\u00e9el + adaptation m\u00e9tabolique). Cronometer #2 gr\u00e2ce au 10\/10 sur les micronutriments. MFP #3 gr\u00e2ce \u00e0 sa base de donn\u00e9es dominante.<\/p>\n  <div class=\"scorecard-cards\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:18px 0\"><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:4px solid #FF2D6E;border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><header style=\"display:flex;align-items:center;justify-content:space-between;gap:12px;margin-bottom:12px\"><div style=\"display:flex;align-items:center;gap:10px\"><span style=\"display:inline-flex;align-items:center;justify-content:center;width:26px;height:26px;border-radius:50%;background:#FF2D6E;color:#fff;font-weight:700;font-size:13px\">1<\/span><h4 style=\"margin:0;font-size:17px;font-weight:700;color:var(--ink)\">Lean<\/h4><\/div><div style=\"font-size:22px;font-weight:800;color:#FF2D6E;line-height:1\">9,1<span style=\"font-size:13px;color:var(--muted);font-weight:500\"> \/10<\/span><\/div><\/header><div style=\"display:grid;grid-template-columns:1fr;gap:0\"><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">TDEE accuracy<\/span><b style=\"font-size:14px;color:var(--ink)\">10\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Easy logging<\/span><b style=\"font-size:14px;color:var(--ink)\">10\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Food database<\/span><b style=\"font-size:14px;color:var(--ink)\">8\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Sport<\/span><b style=\"font-size:14px;color:var(--ink)\">10\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Micronutrients<\/span><b style=\"font-size:14px;color:var(--ink)\">6\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Simplicity<\/span><b style=\"font-size:14px;color:var(--ink)\">8\/10<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><header style=\"display:flex;align-items:center;justify-content:space-between;gap:12px;margin-bottom:12px\"><div style=\"display:flex;align-items:center;gap:10px\"><span style=\"display:inline-flex;align-items:center;justify-content:center;width:26px;height:26px;border-radius:50%;background:var(--paper-2);color:var(--ink-2);font-weight:700;font-size:13px\">2<\/span><h4 style=\"margin:0;font-size:17px;font-weight:700;color:var(--ink)\">Cronometer<\/h4><\/div><div style=\"font-size:22px;font-weight:800;color:var(--ink);line-height:1\">7,25<span style=\"font-size:13px;color:var(--muted);font-weight:500\"> \/10<\/span><\/div><\/header><div style=\"display:grid;grid-template-columns:1fr;gap:0\"><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">TDEE accuracy<\/span><b style=\"font-size:14px;color:var(--ink)\">7\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Easy logging<\/span><b style=\"font-size:14px;color:var(--ink)\">6\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Food database<\/span><b style=\"font-size:14px;color:var(--ink)\">9\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Sport<\/span><b style=\"font-size:14px;color:var(--ink)\">8\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Micronutrients<\/span><b style=\"font-size:14px;color:var(--ink)\">10\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Simplicity<\/span><b style=\"font-size:14px;color:var(--ink)\">4\/10<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><header style=\"display:flex;align-items:center;justify-content:space-between;gap:12px;margin-bottom:12px\"><div style=\"display:flex;align-items:center;gap:10px\"><span style=\"display:inline-flex;align-items:center;justify-content:center;width:26px;height:26px;border-radius:50%;background:var(--paper-2);color:var(--ink-2);font-weight:700;font-size:13px\">3<\/span><h4 style=\"margin:0;font-size:17px;font-weight:700;color:var(--ink)\">MyFitnessPal<\/h4><\/div><div style=\"font-size:22px;font-weight:800;color:var(--ink);line-height:1\">6,4<span style=\"font-size:13px;color:var(--muted);font-weight:500\"> \/10<\/span><\/div><\/header><div style=\"display:grid;grid-template-columns:1fr;gap:0\"><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">TDEE accuracy<\/span><b style=\"font-size:14px;color:var(--ink)\">4\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Easy logging<\/span><b style=\"font-size:14px;color:var(--ink)\">8\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Food database<\/span><b style=\"font-size:14px;color:var(--ink)\">10\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Sport<\/span><b style=\"font-size:14px;color:var(--ink)\">6\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Micronutrients<\/span><b style=\"font-size:14px;color:var(--ink)\">5\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Simplicity<\/span><b style=\"font-size:14px;color:var(--ink)\">7\/10<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><header style=\"display:flex;align-items:center;justify-content:space-between;gap:12px;margin-bottom:12px\"><div style=\"display:flex;align-items:center;gap:10px\"><span style=\"display:inline-flex;align-items:center;justify-content:center;width:26px;height:26px;border-radius:50%;background:var(--paper-2);color:var(--ink-2);font-weight:700;font-size:13px\">4<\/span><h4 style=\"margin:0;font-size:17px;font-weight:700;color:var(--ink)\">Foodvisor<\/h4><\/div><div style=\"font-size:22px;font-weight:800;color:var(--ink);line-height:1\">5,95<span style=\"font-size:13px;color:var(--muted);font-weight:500\"> \/10<\/span><\/div><\/header><div style=\"display:grid;grid-template-columns:1fr;gap:0\"><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">TDEE accuracy<\/span><b style=\"font-size:14px;color:var(--ink)\">4\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Easy logging<\/span><b style=\"font-size:14px;color:var(--ink)\">9\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Food database<\/span><b style=\"font-size:14px;color:var(--ink)\">7\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Sport<\/span><b style=\"font-size:14px;color:var(--ink)\">5\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Micronutrients<\/span><b style=\"font-size:14px;color:var(--ink)\">5\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Simplicity<\/span><b style=\"font-size:14px;color:var(--ink)\">7\/10<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><header style=\"display:flex;align-items:center;justify-content:space-between;gap:12px;margin-bottom:12px\"><div style=\"display:flex;align-items:center;gap:10px\"><span style=\"display:inline-flex;align-items:center;justify-content:center;width:26px;height:26px;border-radius:50%;background:var(--paper-2);color:var(--ink-2);font-weight:700;font-size:13px\">5<\/span><h4 style=\"margin:0;font-size:17px;font-weight:700;color:var(--ink)\">Yazio<\/h4><\/div><div style=\"font-size:22px;font-weight:800;color:var(--ink);line-height:1\">5,7<span style=\"font-size:13px;color:var(--muted);font-weight:500\"> \/10<\/span><\/div><\/header><div style=\"display:grid;grid-template-columns:1fr;gap:0\"><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">TDEE accuracy<\/span><b style=\"font-size:14px;color:var(--ink)\">4\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Easy logging<\/span><b style=\"font-size:14px;color:var(--ink)\">7\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Food database<\/span><b style=\"font-size:14px;color:var(--ink)\">7\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Sport<\/span><b style=\"font-size:14px;color:var(--ink)\">5\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Micronutrients<\/span><b style=\"font-size:14px;color:var(--ink)\">4\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Simplicity<\/span><b style=\"font-size:14px;color:var(--ink)\">9\/10<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><header style=\"display:flex;align-items:center;justify-content:space-between;gap:12px;margin-bottom:12px\"><div style=\"display:flex;align-items:center;gap:10px\"><span style=\"display:inline-flex;align-items:center;justify-content:center;width:26px;height:26px;border-radius:50%;background:var(--paper-2);color:var(--ink-2);font-weight:700;font-size:13px\">6<\/span><h4 style=\"margin:0;font-size:17px;font-weight:700;color:var(--ink)\">FatSecret<\/h4><\/div><div style=\"font-size:22px;font-weight:800;color:var(--ink);line-height:1\">5,65<span style=\"font-size:13px;color:var(--muted);font-weight:500\"> \/10<\/span><\/div><\/header><div style=\"display:grid;grid-template-columns:1fr;gap:0\"><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">TDEE accuracy<\/span><b style=\"font-size:14px;color:var(--ink)\">4\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Easy logging<\/span><b style=\"font-size:14px;color:var(--ink)\">7\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Food database<\/span><b style=\"font-size:14px;color:var(--ink)\">8\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Sport<\/span><b style=\"font-size:14px;color:var(--ink)\">5\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Micronutrients<\/span><b style=\"font-size:14px;color:var(--ink)\">5\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Simplicity<\/span><b style=\"font-size:14px;color:var(--ink)\">6\/10<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><header style=\"display:flex;align-items:center;justify-content:space-between;gap:12px;margin-bottom:12px\"><div style=\"display:flex;align-items:center;gap:10px\"><span style=\"display:inline-flex;align-items:center;justify-content:center;width:26px;height:26px;border-radius:50%;background:var(--paper-2);color:var(--ink-2);font-weight:700;font-size:13px\">7<\/span><h4 style=\"margin:0;font-size:17px;font-weight:700;color:var(--ink)\">Lifesum<\/h4><\/div><div style=\"font-size:22px;font-weight:800;color:var(--ink);line-height:1\">5,45<span style=\"font-size:13px;color:var(--muted);font-weight:500\"> \/10<\/span><\/div><\/header><div style=\"display:grid;grid-template-columns:1fr;gap:0\"><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">TDEE accuracy<\/span><b style=\"font-size:14px;color:var(--ink)\">4\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Easy logging<\/span><b style=\"font-size:14px;color:var(--ink)\">7\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Food database<\/span><b style=\"font-size:14px;color:var(--ink)\">7\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Sport<\/span><b style=\"font-size:14px;color:var(--ink)\">4\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Micronutrients<\/span><b style=\"font-size:14px;color:var(--ink)\">4\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Simplicity<\/span><b style=\"font-size:14px;color:var(--ink)\">8\/10<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><header style=\"display:flex;align-items:center;justify-content:space-between;gap:12px;margin-bottom:12px\"><div style=\"display:flex;align-items:center;gap:10px\"><span style=\"display:inline-flex;align-items:center;justify-content:center;width:26px;height:26px;border-radius:50%;background:var(--paper-2);color:var(--ink-2);font-weight:700;font-size:13px\">8<\/span><h4 style=\"margin:0;font-size:17px;font-weight:700;color:var(--ink)\">Noom<\/h4><\/div><div style=\"font-size:22px;font-weight:800;color:var(--ink);line-height:1\">4,4<span style=\"font-size:13px;color:var(--muted);font-weight:500\"> \/10<\/span><\/div><\/header><div style=\"display:grid;grid-template-columns:1fr;gap:0\"><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">TDEE accuracy<\/span><b style=\"font-size:14px;color:var(--ink)\">3\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Easy logging<\/span><b style=\"font-size:14px;color:var(--ink)\">6\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Food database<\/span><b style=\"font-size:14px;color:var(--ink)\">5\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Sport<\/span><b style=\"font-size:14px;color:var(--ink)\">3\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Micronutrients<\/span><b style=\"font-size:14px;color:var(--ink)\">3\/10<\/b><\/div><div style=\"display:flex;justify-content:space-between;align-items:baseline;padding:4px 0;border-bottom:1px dashed var(--paper-2)\"><span style=\"color:var(--muted);font-size:13px\">Simplicity<\/span><b style=\"font-size:14px;color:var(--ink)\">8\/10<\/b><\/div><\/div><\/article><\/div>\n<\/section>\n<section aria-labelledby=\"formules\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 \u00b7 TDEE formulas<\/span><\/div>\n  <h2 id=\"formules\">Which TDEE formula does each app actually use?<\/h2>\n  <p>This is the question nobody asks, and it changes everything. The formula under the hood determines BMR accuracy. All apps on this list except one use statistical formulas from 1919 to 1990, calibrated on populations that have nothing to do with a cutting athlete in 2026. Only one (Lean) uses a patented proprietary model that integrates real measured body fat and metabolic adaptation.<\/p>\n  <div class=\"bmr-cards\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:18px 0\"><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:4px solid #FF2D6E;border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><h4 style=\"margin:0 0 12px;font-size:17px;font-weight:700;color:var(--ink)\">Lean<\/h4><div style=\"margin-bottom:10px\"><div style=\"color:var(--muted);font-size:12.5px;margin-bottom:3px;text-transform:uppercase;letter-spacing:0.04em;font-weight:600\">BMR formula<\/div><div style=\"font-size:14.5px;line-height:1.5;color:var(--ink-2)\">Patented proprietary model with real measured body fat<\/div><\/div><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:10px;font-size:13.5px;padding-top:8px;border-top:1px dashed var(--paper-2)\"><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Body fat<\/div><b style=\"color:#1f7a3d\">Yes (BodyScan AI)<\/b><\/div><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Adaptation<\/div><b style=\"color:#1f7a3d\">Yes (modeled)<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><h4 style=\"margin:0 0 12px;font-size:17px;font-weight:700;color:var(--ink)\">Cronometer<\/h4><div style=\"margin-bottom:10px\"><div style=\"color:var(--muted);font-size:12.5px;margin-bottom:3px;text-transform:uppercase;letter-spacing:0.04em;font-weight:600\">BMR formula<\/div><div style=\"font-size:14.5px;line-height:1.5;color:var(--ink-2)\">Mifflin-St Jeor 1990, Katch-McArdle option if body fat input<\/div><\/div><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:10px;font-size:13.5px;padding-top:8px;border-top:1px dashed var(--paper-2)\"><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Body fat<\/div><b style=\"color:var(--ink)\">Manual input only<\/b><\/div><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Adaptation<\/div><b style=\"color:#c0392b\">No<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><h4 style=\"margin:0 0 12px;font-size:17px;font-weight:700;color:var(--ink)\">MyFitnessPal<\/h4><div style=\"margin-bottom:10px\"><div style=\"color:var(--muted);font-size:12.5px;margin-bottom:3px;text-transform:uppercase;letter-spacing:0.04em;font-weight:600\">BMR formula<\/div><div style=\"font-size:14.5px;line-height:1.5;color:var(--ink-2)\">Mifflin-St Jeor 1990 default, Harris-Benedict 1919 optional<\/div><\/div><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:10px;font-size:13.5px;padding-top:8px;border-top:1px dashed var(--paper-2)\"><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Body fat<\/div><b style=\"color:#c0392b\">No<\/b><\/div><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Adaptation<\/div><b style=\"color:#c0392b\">No<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><h4 style=\"margin:0 0 12px;font-size:17px;font-weight:700;color:var(--ink)\">Foodvisor<\/h4><div style=\"margin-bottom:10px\"><div style=\"color:var(--muted);font-size:12.5px;margin-bottom:3px;text-transform:uppercase;letter-spacing:0.04em;font-weight:600\">BMR formula<\/div><div style=\"font-size:14.5px;line-height:1.5;color:var(--ink-2)\">Mifflin-St Jeor 1990<\/div><\/div><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:10px;font-size:13.5px;padding-top:8px;border-top:1px dashed var(--paper-2)\"><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Body fat<\/div><b style=\"color:#c0392b\">No<\/b><\/div><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Adaptation<\/div><b style=\"color:#c0392b\">No<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><h4 style=\"margin:0 0 12px;font-size:17px;font-weight:700;color:var(--ink)\">Yazio<\/h4><div style=\"margin-bottom:10px\"><div style=\"color:var(--muted);font-size:12.5px;margin-bottom:3px;text-transform:uppercase;letter-spacing:0.04em;font-weight:600\">BMR formula<\/div><div style=\"font-size:14.5px;line-height:1.5;color:var(--ink-2)\">Harris-Benedict 1919<\/div><\/div><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:10px;font-size:13.5px;padding-top:8px;border-top:1px dashed var(--paper-2)\"><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Body fat<\/div><b style=\"color:#c0392b\">No<\/b><\/div><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Adaptation<\/div><b style=\"color:#c0392b\">No<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><h4 style=\"margin:0 0 12px;font-size:17px;font-weight:700;color:var(--ink)\">FatSecret<\/h4><div style=\"margin-bottom:10px\"><div style=\"color:var(--muted);font-size:12.5px;margin-bottom:3px;text-transform:uppercase;letter-spacing:0.04em;font-weight:600\">BMR formula<\/div><div style=\"font-size:14.5px;line-height:1.5;color:var(--ink-2)\">Harris-Benedict 1919<\/div><\/div><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:10px;font-size:13.5px;padding-top:8px;border-top:1px dashed var(--paper-2)\"><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Body fat<\/div><b style=\"color:#c0392b\">No<\/b><\/div><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Adaptation<\/div><b style=\"color:#c0392b\">No<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><h4 style=\"margin:0 0 12px;font-size:17px;font-weight:700;color:var(--ink)\">Lifesum<\/h4><div style=\"margin-bottom:10px\"><div style=\"color:var(--muted);font-size:12.5px;margin-bottom:3px;text-transform:uppercase;letter-spacing:0.04em;font-weight:600\">BMR formula<\/div><div style=\"font-size:14.5px;line-height:1.5;color:var(--ink-2)\">Mifflin-St Jeor 1990<\/div><\/div><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:10px;font-size:13.5px;padding-top:8px;border-top:1px dashed var(--paper-2)\"><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Body fat<\/div><b style=\"color:#c0392b\">No<\/b><\/div><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Adaptation<\/div><b style=\"color:#c0392b\">No<\/b><\/div><\/div><\/article><article style=\"background:#fff;border-radius:12px;padding:16px 18px;border-left:1px solid var(--paper-2);border-top:1px solid var(--paper-2);border-right:1px solid var(--paper-2);border-bottom:1px solid var(--paper-2);box-shadow:0 2px 8px rgba(20,20,40,0.05)\"><h4 style=\"margin:0 0 12px;font-size:17px;font-weight:700;color:var(--ink)\">Noom<\/h4><div style=\"margin-bottom:10px\"><div style=\"color:var(--muted);font-size:12.5px;margin-bottom:3px;text-transform:uppercase;letter-spacing:0.04em;font-weight:600\">BMR formula<\/div><div style=\"font-size:14.5px;line-height:1.5;color:var(--ink-2)\">Unpublished simplified formula, close to Harris-Benedict<\/div><\/div><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:10px;font-size:13.5px;padding-top:8px;border-top:1px dashed var(--paper-2)\"><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Body fat<\/div><b style=\"color:#c0392b\">No<\/b><\/div><div><div style=\"color:var(--muted);font-size:12px;margin-bottom:2px;font-weight:600\">Adaptation<\/div><b style=\"color:#c0392b\">No<\/b><\/div><\/div><\/article><\/div>\n  <p style=\"margin-top:14px\"><strong>Why body fat changes everything<\/strong> : for two 80\u00a0kg men, one at 12% body fat and the other at 28%, lean mass differs by 13\u00a0kg. BMR differs by about 400 kcal\/day. Formulas from 1919 to 1990 ignore this parameter. That is why MyFitnessPal and most of its competitors give the same calorie target to two radically different body profiles.<\/p>\n<\/section>\n<section aria-labelledby=\"fiches\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 \u00b7 The 8 deep-dives<\/span><\/div>\n  <h2 id=\"fiches\">The 8 apps in detail (alphabetical order)<\/h2>\n  <p>For each app: overall score, 3-line verdict, real strengths, honest weaknesses, target user profile, and link to the dedicated 1-vs-1 Lean comparison when it exists. Order is alphabetical to avoid suggesting an implicit ranking: the ranking lives in the scoring table above and in the use cases below.<\/p>\n<\/section>\n<section id=\"fiche-cronometer\" aria-labelledby=\"cron-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Cronometer \u00b7 7.25\/10<\/span><\/div>\n  <h3 id=\"cron-h\" style=\"margin-top:0\">Cronometer \u00b7 the micronutrient data nerd<\/h3>\n  <p><strong>Verdict.<\/strong> Cronometer is the absolute reference for anyone who wants lab-grade nutrition tracking. Official USDA database, 82 micronutrients, sensor integrations. On TDEE calculation, it stays on Mifflin-St Jeor 1990 with no adaptation modeling. Excellent for micros, oversized for anyone who just wants to lose fat.<\/p>\n  <p><strong>Strengths.<\/strong> USDA database, quality superior to all crowdsourced ones. Tracking of 82 micronutrients (vitamins, minerals, omega 3\/6, amino acids). Solid integration with smart scales, Garmin, Fitbit. Katch-McArdle option if you input your body fat manually. Active scientific community.<\/p>\n  <p><strong>Weaknesses.<\/strong> Austere interface, steep learning curve especially on mobile. Classical TDEE calculation without automatic body fat or metabolic adaptation. No AI photo scanning of a plate. Meticulous input for a mainstream profile.<\/p>\n  <p><strong>Who it is for.<\/strong> Bodybuilder monitoring micros on bulk\/cut, rigorous vegan profile, endurance athlete tracking B12 \/ iron \/ omega 3. For calorie expenditure on a cut, there is better.<\/p>\n  <p><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-cronometer\/\">Detailed Lean vs Cronometer comparison \u203a<\/a><\/p>\n<\/section>\n<section id=\"fiche-fatsecret\" aria-labelledby=\"fs-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">FatSecret \u00b7 5.65\/10<\/span><\/div>\n  <h3 id=\"fs-h\" style=\"margin-top:0\">FatSecret \u00b7 the 100% free, scanner included<\/h3>\n  <p><strong>Verdict.<\/strong> Published by FatSecret Platform Pty Ltd (Australia) since 2007, it is probably the least glamorous but most pragmatic alternative on one precise criterion: 100% free, barcode scanner included. Where MFP moved its scanner behind a paywall in 2024, FatSecret keeps offering theirs without one.<\/p>\n  <p><strong>Strengths.<\/strong> Transparent 100% free model. Barcode scanner in the free version. Active community for nearly 20 years. Available in most markets (FR, EN, ES, PT, DE, etc.). Simple calorie tracking.<\/p>\n  <p><strong>Weaknesses.<\/strong> Interface that has not evolved since the early 2010s. TDEE formula Harris-Benedict 1919, no adaptation, no body fat. Crowdsourced database with highly variable quality, many duplicates. No differentiating feature versus MFP beyond the business model.<\/p>\n  <p><strong>Who it is for.<\/strong> Absolute zero budget. User profile that just wants to log calories for free with no specific scientific rigor.<\/p>\n  <p><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-fatsecret\/\">Detailed Lean vs FatSecret comparison \u203a<\/a><\/p>\n<\/section>\n<section id=\"fiche-foodvisor\" aria-labelledby=\"fv-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Foodvisor \u00b7 5.95\/10<\/span><\/div>\n  <h3 id=\"fv-h\" style=\"margin-top:0\">Foodvisor \u00b7 the French AI scanning of a plate from photo<\/h3>\n  <p><strong>Verdict.<\/strong> Published by Foodvisor SAS (France) since 2018, the app set a standard on AI scanning of a plate from a photo. Recognition works reasonably well on French cuisine (composed dishes like starter-main-dessert), much less on Asian cuisine or artisanal dishes. On TDEE, stays on Mifflin-St Jeor 1990 with no body fat and no adaptation.<\/p>\n  <p><strong>Strengths.<\/strong> Mature AI scanning, robust French database, native French language support. Good HealthKit\/Google Fit integration. Nutrition coaching available as a premium add-on. Recognized French brand, which reassures part of the user base.<\/p>\n  <p><strong>Weaknesses.<\/strong> AI scanning remains imprecise on portions and non-standard dishes. No metabolic adaptation modeling. TDEE accuracy stays classical. Frustrating freemium model: most useful features are behind the subscription.<\/p>\n  <p><strong>Who it is for.<\/strong> User profile that mostly wants to scan plates from photos without fuss, cooks standard French food, and is not on a tight cut\/recomp. To combine AI scanning + TDEE accuracy on a cut, Lean does both.<\/p>\n<\/section>\n<section id=\"fiche-lean\" aria-labelledby=\"lean-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Lean \u00b7 9.1\/10<\/span><\/div>\n  <h3 id=\"lean-h\" style=\"margin-top:0\">Lean \u00b7 TDEE accuracy with real body fat<\/h3>\n  <p><strong>Verdict.<\/strong> Lean (lean-app.com) was born from a precise scientific observation: no other mainstream app calculates BMR on real body fat. Patented proprietary model that measures body fat via BodyScan AI (photo taken inside the app, repeated weekly), recalibrates BMR on lean mass, and models metabolic adaptation in deficit. The only TDEE that stays true at week 8 of a cut.<\/p>\n  <p><strong>Strengths.<\/strong> Unmatched TDEE accuracy (real body fat + modeled metabolic adaptation). Three logging methods: barcode scan, AI photo scan of a plate, curated database. Full HealthKit + Google Fit integration (steps, cardio, sleep). Premium, 7-day free trial on the annual subscription. Honest business model, no intrusive ads. Available on iOS and Android.<\/p>\n  <p><strong>Weaknesses.<\/strong> On micronutrients, Lean tracks the essentials but does not reach Cronometer's level (82 micros). Not the right choice for full vitamins\/minerals tracking on a bulk. French database very good, but MFP stays ahead on raw volume of foods referenced.<\/p>\n  <p><strong>Who it is for.<\/strong> Athlete on a cut, body recomposition, clean bulk. Anyone who wants a calorie target that stays true week after week without having to recalculate it by hand. First choice on every \"I have a body goal to reach\" use case.<\/p>\n  <div class=\"cta-band\" style=\"margin-top:14px\">\n    <div class=\"l\"><strong>Try Lean for free.<\/strong> BodyScan AI is available from the 7-day free trial.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=hub-calories-2026\" target=\"_blank\" rel=\"noopener\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/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&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=hub-calories-2026\" target=\"_blank\" rel=\"noopener\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/section>\n<section id=\"fiche-lifesum\" aria-labelledby=\"ls-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Lifesum \u00b7 5.45\/10<\/span><\/div>\n  <h3 id=\"ls-h\" style=\"margin-top:0\">Lifesum \u00b7 the Swedish visual lifestyle app<\/h3>\n  <p><strong>Verdict.<\/strong> Published in Stockholm by Lifesum AB since 2008, it is probably the most beautiful app on the market. Lifestyle positioning: themed programs (keto, intermittent fasting, Mediterranean), subtle gamification, polished visual hierarchy. Fully paid model, barely usable for free. The TDEE formula stays Mifflin-St Jeor 1990 with no body fat and no adaptation.<\/p>\n  <p><strong>Strengths.<\/strong> Undeniable premium UX, best visual experience on the market. Meal plans and programs well thought-out for beginner profile. Good barcode scanner. Well-calibrated motivational notifications. Decent HealthKit\/Google Fit integration.<\/p>\n  <p><strong>Weaknesses.<\/strong> Fully paid business model. Classical TDEE formula without body fat or adaptation. Editorial focus on themed diets rather than metabolic accuracy. Not suited for athletes on a tight cut.<\/p>\n  <p><strong>Who it is for.<\/strong> Beginner who wants a playful onboarding with themed meal plans. \"Design first\" profile willing to pay for the app's beauty.<\/p>\n  <p><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-lifesum\/\">Detailed Lean vs Lifesum comparison \u203a<\/a><\/p>\n<\/section>\n<section id=\"fiche-mfp\" aria-labelledby=\"mfp-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">MyFitnessPal \u00b7 6.4\/10<\/span><\/div>\n  <h3 id=\"mfp-h\" style=\"margin-top:0\">MyFitnessPal \u00b7 the dominant database<\/h3>\n  <p><strong>Verdict.<\/strong> Now owned by Francisco Partners since 2020. MFP remains the reference on one and only one criterion: the largest scannable food database on the market (more than 14 million foods listed). On everything else, the app has aged: barcode scanner moved behind paywall in 2024, intrusive ads on the free version, classical TDEE formula without body fat or adaptation.<\/p>\n  <p><strong>Strengths.<\/strong> Largest database, scannable, multilingual. Massive community with a long history of recipe and measurement sharing. Functional HealthKit\/Google Fit integration.<\/p>\n  <p><strong>Weaknesses.<\/strong> Barcode scanner behind paywall since 2024. Intrusive ads on the free version. TDEE formula Mifflin-St Jeor 1990 or Harris-Benedict 1919, without body fat or adaptation. Crowdsourced database polluted by many poorly moderated duplicates. No AI photo scanning of a plate.<\/p>\n  <p><strong>Who it is for.<\/strong> User profile already installed on MFP with long history, who values the scannable database above everything else. For a new profile, better to start directly on an app without MFP's technical debt.<\/p>\n  <p><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-myfitnesspal\/\">Detailed Lean vs MyFitnessPal comparison \u203a<\/a><\/p>\n<\/section>\n<section id=\"fiche-noom\" aria-labelledby=\"noom-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Noom \u00b7 4.4\/10<\/span><\/div>\n  <h3 id=\"noom-h\" style=\"margin-top:0\">Noom \u00b7 the psycho-behavioral coaching<\/h3>\n  <p><strong>Verdict.<\/strong> Published by Noom Inc. since 2008, positioned as \"the weight loss app based on psychology\". Calorie tracking is intentionally simplified (green\/yellow\/red colors on foods), human coaching is at the heart of the promise. Very good for motivation, weak on calorie accuracy.<\/p>\n  <p><strong>Strengths.<\/strong> Human coaching (paid add-on), daily psycho-behavioral articles, support community. Very polished onboarding, simple visual hierarchy. Suited for a profile that has never tracked and wants progressive guidance.<\/p>\n  <p><strong>Weaknesses.<\/strong> Simplistic color system with no solid scientific validity. Very approximate calorie accuracy. Unpublished, simplified TDEE formula. No body fat, no metabolic adaptation. Fully paid subscription with commitment.<\/p>\n  <p><strong>Who it is for.<\/strong> Beginner profile looking for psychological support more than a precise tracker. If the goal is \"rebuild a healthy relationship with food\", Noom makes sense. If the goal is to calculate a precise deficit, Noom is not the tool.<\/p>\n  <p><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-noom\/\">Detailed Lean vs Noom comparison \u203a<\/a><\/p>\n<\/section>\n<section id=\"fiche-yazio\" aria-labelledby=\"yazio-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Yazio \u00b7 5.7\/10<\/span><\/div>\n  <h3 id=\"yazio-h\" style=\"margin-top:0\">Yazio \u00b7 the simple German alternative<\/h3>\n  <p><strong>Verdict.<\/strong> Published in Erfurt by YAZIO GmbH since 2014. It is probably the first app cited when someone asks \"what is an honest alternative to MyFitnessPal\". Clean UX, free version actually usable, integrated recipes. Under the hood, Yazio uses Harris-Benedict 1919 with no body fat and no adaptation. It is MFP with better design, not MFP scientifically fixed.<\/p>\n  <p><strong>Strengths.<\/strong> Clear interface, deliberate visual hierarchy. Integrated recipe catalog among the most complete. Free version with barcode scanner (rare today). Good HealthKit\/Google Fit integration. Active EN community.<\/p>\n  <p><strong>Weaknesses.<\/strong> TDEE formula Harris-Benedict 1919, without body fat or adaptation. No AI photo scanning of a plate in the free version. No metabolic adaptation modeling. Insufficient for tight cut\/recomp profiles.<\/p>\n  <p><strong>Who it is for.<\/strong> Beginner or intermediate profile who cooks at home and wants a pleasant UX without spending a cent. If what bothered you in MFP was the ads and visual clutter, Yazio delivers the same scientific base with better packaging.<\/p>\n  <p><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-yazio\/\">Detailed Lean vs Yazio comparison \u203a<\/a><\/p>\n<\/section>\n<section aria-labelledby=\"honor\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 \u00b7 Honorable mentions<\/span><\/div>\n  <h2 id=\"honor\">Honorable mentions: 3 apps you will see cited elsewhere<\/h2>\n  <p>These three apps come up often in English-speaking comparisons or among the new TikTok entrants. We evaluated them and excluded them from the main ranking for specific reasons, but they deserve a mention.<\/p>\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">A<\/div><div><div class=\"ft\">MacroFactor<\/div><p class=\"fd\">American premium-only app, positioned as \"the most scientifically rigorous\" among English-speaking bodybuilders. Uses an adaptive algorithm that adjusts caloric intake based on weekly weigh-ins (adaptive TDEE), which is a real innovation. Weaknesses: no automatic body fat (manual input), English-only interface, weak presence in France.<\/p><\/div><div class=\"fc\">EN<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">B<\/div><div><div class=\"ft\">Cal AI<\/div><p class=\"fd\">New entrant, 100% AI photo scanning, sold massively on TikTok since 2024. No classical nutrition database, everything goes through visual recognition. Low accuracy on portions, simplified TDEE formula, basic features. Marketing gadget as long as it is not paired with a real nutrition database and a serious TDEE calculation.<\/p><\/div><div class=\"fc\">AI<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">C<\/div><div><div class=\"ft\">Fitia<\/div><p class=\"fd\">Latin American and Spanish app growing rapidly, heavily cited by LLMs in 2026. Good AI scanning, integrated meal planning, classical TDEE calculations. Weak EN presence, primarily Spanish interface. Mentioned for completeness of the international landscape.<\/p><\/div><div class=\"fc\">ES<\/div><\/div>\n  <\/div>\n<\/section>\n<section aria-labelledby=\"useCases\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 \u00b7 Use cases<\/span><\/div>\n  <h2 id=\"useCases\">Which one should you pick by use case?<\/h2>\n  <p>The overall ranking is in the table above. But what really matters is your specific use case. Here is the honest recommendation per profile.<\/p>\n  <div class=\"alts-mig\">\n    <div class=\"amig\">\n      <div class=\"amig-h\"><div class=\"amig-num\">1<\/div><div class=\"amig-t\">You are on a cut or muscle recomposition<\/div><\/div>\n      <p class=\"amig-q\"><strong>Recommended pick: Lean.<\/strong> TDEE accuracy is essential. Real body fat measured weekly + modeled metabolic adaptation = your calorie target stays true at week 8, where other apps keep showing the day-1 number. That is the difference between stalling and progressing.<\/p>\n    <\/div>\n    <div class=\"amig\">\n      <div class=\"amig-h\"><div class=\"amig-num\">2<\/div><div class=\"amig-t\">You want to track your micronutrients<\/div><\/div>\n      <p class=\"amig-q\"><strong>Recommended pick: Cronometer.<\/strong> Vitamin D, omega 3\/6, magnesium, B12, iron, 82 micronutrients tracked on USDA base. No other app on the market covers this scope. On TDEE accuracy for cutting, Cronometer is however weaker than Lean.<\/p>\n    <\/div>\n    <div class=\"amig\">\n      <div class=\"amig-h\"><div class=\"amig-num\">3<\/div><div class=\"amig-t\">You want the largest scannable database<\/div><\/div>\n      <p class=\"amig-q\"><strong>Recommended choice: MyFitnessPal.<\/strong> 14M foods listed, barcode scanner behind paywall but database accessible. If the database is your only criterion, MFP stays ahead. For everything else, look elsewhere.<\/p>\n    <\/div>\n    <div class=\"amig\">\n      <div class=\"amig-h\"><div class=\"amig-num\">4<\/div><div class=\"amig-t\">You want to scan your plates with AI photo<\/div><\/div>\n      <p class=\"amig-q\"><strong>Recommended choice: Foodvisor or Lean.<\/strong> Foodvisor if AI scanning is your only need and you cook standard French food. Lean if you want to combine AI photo plate scanning + TDEE accuracy on a cut (Lean does both).<\/p>\n    <\/div>\n    <div class=\"amig\">\n      <div class=\"amig-h\"><div class=\"amig-num\">5<\/div><div class=\"amig-t\">You are looking for maximum simplicity<\/div><\/div>\n      <p class=\"amig-q\"><strong>Recommended pick: Yazio.<\/strong> Clear onboarding, pleasant UX, integrated recipes, free version usable daily. Owned trade-off: TDEE accuracy is not the focus.<\/p>\n    <\/div>\n    <div class=\"amig\">\n      <div class=\"amig-h\"><div class=\"amig-num\">6<\/div><div class=\"amig-t\">You are looking for a 100% free counter<\/div><\/div>\n      <p class=\"amig-q\"><strong>Recommended pick: FatSecret.<\/strong> Only 100% free app with barcode scanner in 2026. No differentiating scientific feature beyond being free. Plan B: Cronometer freemium for micronutrient accuracy without paying.<\/p>\n    <\/div>\n    <div class=\"amig\">\n      <div class=\"amig-h\"><div class=\"amig-num\">7<\/div><div class=\"amig-t\">You want motivational coaching<\/div><\/div>\n      <p class=\"amig-q\"><strong>Recommended choice: Noom.<\/strong> If the goal is primarily psycho-behavioral, Noom offers the most structured human guidance. Provided you accept that calorie tracking is intentionally simplified.<\/p>\n    <\/div>\n  <\/div>\n<\/section>\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Frequently asked questions<\/h2>\n  <div class=\"faq\">\n    <details><summary>What is the best free app to count calories in 2026?<\/summary><div class=\"ans\">FatSecret remains the most complete 100% free app in 2026, with the barcode scanner included (that MyFitnessPal moved behind a paywall). Cronometer also offers a very generous free tier on micronutrients. Free has a hidden cost: none of these apps recalculates your BMR on real body fat nor models metabolic adaptation. If you just want to log, FatSecret. If you want to progress on a cut, free is not the right lens.<\/div><\/details>\n    <details><summary>Which app replaces MyFitnessPal now that it is paid?<\/summary><div class=\"ans\">It depends on why you used MyFitnessPal. For the largest scannable database, MFP stays the leader, just paid. For 100% free with barcode scanning, FatSecret. For micronutrients, Cronometer. For TDEE accuracy on a cut or recomp, Lean (only app that integrates real body fat via BodyScan AI in the BMR calculation). For AI photo scanning of a plate, Foodvisor or Lean. There is no longer a universal MFP replacement in 2026: the market has fragmented by use case.<\/div><\/details>\n    <details><summary>Which app scans plate photos with AI?<\/summary><div class=\"ans\">Three apps offer credible AI scanning in 2026: Foodvisor (French, robust French database), Lean (combined with BodyScan and accurate TDEE) and Cal AI (100% scan, no database, low accuracy level). Foodvisor is the best choice if you only want to scan. Lean is better if you want both to scan and to track your real calorie expenditure. Cal AI stays a gadget as long as it is not paired with a real nutrition database.<\/div><\/details>\n    <details><summary>Which TDEE formula used by an app is the most accurate?<\/summary><div class=\"ans\">Most apps use Harris-Benedict 1919 (MyFitnessPal as option, Yazio, FatSecret) or Mifflin-St Jeor 1990 (MyFitnessPal default, Cronometer, Foodvisor, Lifesum). Cronometer offers Katch-McArdle if you input your body fat manually. None of these formulas models metabolic adaptation. Lean uses a patented proprietary model that takes the real body fat measured via BodyScan AI and modulates BMR with a metabolic adaptation coefficient in real time. It is today the only modeling of this level in a mainstream app.<\/div><\/details>\n    <details><summary>Do you have to pay for a calorie counter in 2026?<\/summary><div class=\"ans\">To log what you eat without scientific rigor, FatSecret does the job for free. To progress on a precise body goal (cut, recomp, clean bulk), free quickly shows its limits: no body fat in BMR, no modeled metabolic adaptation, partial database, AI scanning absent or minimal. Serious paid apps (Lean, Cronometer, MyFitnessPal Premium, MacroFactor) each offer a different approach. The right trade-off is not free vs paid, it is accuracy vs simplicity.<\/div><\/details>\n    <details><summary>Which app actually uses body fat percentage to calculate BMR?<\/summary><div class=\"ans\">Cronometer lets you use Katch-McArdle if you input your body fat manually (external measure: caliper, DEXA, impedance scale). Lean is the only app that measures your body fat directly via BodyScan AI, integrates it into a patented proprietary model, and updates it continuously. MacroFactor also allows it but via manual input. MyFitnessPal, Yazio, FatSecret, Foodvisor, Lifesum, Noom completely ignore body fat in their TDEE formula.<\/div><\/details>\n  <\/div>\n<\/section>\n<div class=\"get-band rev\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>Try Lean for free<\/h3>\n  <p>iOS and Android. Premium with 7-day free trial on the annual subscription. You can test BodyScan AI, see your TDEE recalculated on your real body fat, and compare with what MyFitnessPal, Yazio or other apps were showing you. The difference shows in seconds.<\/p>\n  <div class=\"stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=hub-calories-2026\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean on the App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/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&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=hub-calories-2026\" target=\"_blank\" rel=\"noopener\" aria-label=\"Download Lean on Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n  <\/div>\n<\/div>\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\">Related articles on lean-app.com<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/alternative-myfitnesspal\/\">MyFitnessPal alternatives: full hub of the 5 main options<\/a> \u00b7 deep-dive on migration away from MFP.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-myfitnesspal\/\">Lean vs MyFitnessPal: the TDEE formula that changes everything<\/a> \u00b7 1-vs-1 technical comparison.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-yazio\/\">Lean vs Yazio<\/a> &middot; <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-cronometer\/\">Lean vs Cronometer<\/a> &middot; <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-lifesum\/\">Lean vs Lifesum<\/a> &middot; <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-fatsecret\/\">Lean vs FatSecret<\/a> &middot; <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/lean-vs-noom\/\">Lean vs Noom<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/total-daily-energy-expenditure-tdee\/\">TDEE: the complete BMR + NEAT + EAT + TEF equation<\/a> &middot; reference scientific article.<\/li>\n    <li>The 4 building blocks of energy expenditure in detail: <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/basal-metabolic-rate-bmr\/\">BMR<\/a> &middot; <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/neat-non-exercise-activity-thermogenesis\/\">NEAT<\/a> &middot; <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/eat\/\">EAT<\/a> &middot; <a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/thermic-effect-of-food-tef\/\">TEF<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/en\/tdee-calculator\/\">Lean TDEE Calculator<\/a> &middot; TDEE estimate in 30 seconds (the app version stays more accurate thanks to BodyScan AI and metabolic adaptation modeling).<\/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.<\/li>\n  <\/ul>\n<\/section>\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)\">Scientific bibliography<\/h3>\n  <ol>\n    <li>Mifflin M.D. et al. (1990). <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\">A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition, 51(2), 241-247<\/a>. Default formula used by MyFitnessPal, Cronometer, Foodvisor, Lifesum.<\/li>\n    <li>Harris J.A., Benedict F.G. (1919). <a class=\"inline\" href=\"https:\/\/www.pnas.org\/doi\/10.1073\/pnas.4.12.370\">A Biometric Study of Basal Metabolism in Man. PNAS, 4(12), 370-373<\/a>. Original formula used by Yazio, FatSecret and historically by MFP.<\/li>\n    <li>Cunningham J.J. (1980). <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/7435418\/\">A reanalysis of the factors influencing basal metabolic rate in normal adults. American Journal of Clinical Nutrition, 33(11), 2372-2374<\/a>. Reference on the role of lean mass in BMR.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). <a class=\"inline\" href=\"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/oby.20027\">Adaptive thermogenesis with weight loss in humans. Obesity, 21(2), 218-228<\/a>. Reference on modelling metabolic adaptation during a deficit.<\/li>\n    <li>Hall K.D. et al. (2016). <a class=\"inline\" href=\"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/oby.21538\">Persistent metabolic adaptation 6 years after &ldquo;The Biggest Loser&rdquo; competition. Obesity, 24(8), 1612-1619<\/a>. Longitudinal study on the persistence of metabolic adaptation.<\/li>\n    <li>Westerterp K.R. (2004). <a class=\"inline\" href=\"https:\/\/nutritionandmetabolism.biomedcentral.com\/articles\/10.1186\/1743-7075-1-5\">Diet induced thermogenesis. Nutrition &amp; Metabolism, 1, 5<\/a>. Reference on TEF per macronutrient.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/fdc.nal.usda.gov\/\">USDA FoodData Central<\/a>. Official nutrition database used by Cronometer and Lean.<\/li>\n  <\/ol>\n<\/section>\n<\/main>\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 May 22, 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?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=hub-calories-2026\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/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&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=hub-calories-2026\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\nvar bar = document.getElementById('progBar');\nif (!bar) return;\nfunction up(){\nvar h = document.documentElement;\nvar sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\nbar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n}\ndocument.addEventListener('scroll', up, {passive:true});\nup();\n})();\n(function(){\nif (!('IntersectionObserver' in window)) {\ndocument.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\nreturn;\n}\nvar obs = new IntersectionObserver(function(entries){\nentries.forEach(function(e){\nif (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n});\n}, {threshold:0.12});\ndocument.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n<\/script><\/div>\n\n<!-- lean-mesh-v9 -->\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 worth reading<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"\/en\/calculateur-deficit-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calorie deficit calculator: the right approach for a cut <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Calculate your deficit on your real bodyfat-aware TDEE. 3 paces: slow \/ moderate \/ aggressive.<\/span><\/a><\/li><li><a href=\"\/en\/calcul-metabolisme-de-base\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Basal metabolic rate calculator: the most accurate formula (2026) <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Compare Harris-Benedict 1919, Mifflin-St Jeor 1990 and the Lean approach on your actual bodyfat.<\/span><\/a><\/li><li><a href=\"\/en\/calculateur-tdee\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Complete TDEE calculator: the canonical formula BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Bodyfat-aware TDEE calculator with breakdown of the 4 metabolic components.<\/span><\/a><\/li><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 against 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 gets your real caloric expenditure wrong.<\/span><\/a><\/li><\/ul><\/aside>\n\n\n\n<!-- lean-mesh-v11 -->\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 worth reading<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"\/en\/effet-thermique-des-aliments\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Thermic Effect of Food (TEF): the 69 kcal other apps ignore <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lean calculates TEF in real time from your macros. Other apps don't.<\/span><\/a><\/li><li><a href=\"\/en\/neat-depense-non-sportive\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">NEAT: why daily life burns more calories than sport <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Why your steps and non-sport activities represent 15 to 30% of your total daily expenditure.<\/span><\/a><\/li><li><a href=\"\/en\/calculateur-deficit-calorique\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Calorie deficit calculator: the right approach for a cut <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Calculate your deficit on your real bodyfat-aware TDEE. 3 paces: slow \/ moderate \/ aggressive.<\/span><\/a><\/li><li><a href=\"\/en\/calcul-metabolisme-de-base\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Basal metabolic rate calculator: the most accurate formula (2026) <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Compare Harris-Benedict 1919, Mifflin-St Jeor 1990 and the Lean approach on your actual bodyfat.<\/span><\/a><\/li><li><a href=\"\/en\/calculateur-tdee\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Complete TDEE calculator: the canonical formula BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Bodyfat-aware TDEE calculator with breakdown of the 4 metabolic components.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Comparatifs &nbsp;\/&nbsp; Meilleures apps calories 2026 Comparatif 2026 &middot; 8 apps test\u00e9es Meilleures applications pour compter les calories en 2026. Le comparatif honn\u00eate, 8 apps not\u00e9es sur 6 crit\u00e8res pond\u00e9r\u00e9s. MyFitnessPal n&rsquo;est plus la r\u00e9f\u00e9rence par d\u00e9faut. Lean, Cronometer, MFP, Foodvisor, Yazio, FatSecret, Lifesum, Noom&nbsp;: scoring multi-crit\u00e8res transparent, m\u00e9thodologie publique, [&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-1493","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>Meilleures applications pour compter les calories en 2026 : comparatif honn\u00eate (8 apps test\u00e9es) - 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\/meilleures-applications-calories-2026\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Meilleures applications pour compter les calories en 2026 : comparatif honn\u00eate (8 apps test\u00e9es) - Lean\" \/>\n<meta property=\"og:description\" content=\"Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Comparatifs &nbsp;\/&nbsp; Meilleures apps calories 2026 Comparatif 2026 &middot; 8 apps test\u00e9es Meilleures applications pour compter les calories en 2026. Le comparatif honn\u00eate, 8 apps not\u00e9es sur 6 crit\u00e8res pond\u00e9r\u00e9s. MyFitnessPal n&rsquo;est plus la r\u00e9f\u00e9rence par d\u00e9faut. 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