{"id":485,"date":"2025-07-13T23:54:29","date_gmt":"2025-07-13T23:54:29","guid":{"rendered":"https:\/\/lean-app.com\/?p=485"},"modified":"2026-09-05T10:40:02","modified_gmt":"2026-09-05T10:40:02","slug":"comment-compter-ses-calories","status":"publish","type":"post","link":"https:\/\/lean-app.com\/nl\/comment-compter-ses-calories\/","title":{"rendered":"Hoe je je calorie\u00ebn telt: de 4 methodes vergeleken"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" 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.l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-485 #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-485 #lvm-shell .wrap,\nbody.postid-485 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important}\n@media (max-width:820px){\n  body.postid-485 #lvm-shell .wrap,\n  body.postid-485 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-485 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-485 #lvm-shell *{max-width:100%}\nbody.postid-485 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-485 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-485 #lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\nbody.postid-485 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-485 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-485 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-485 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-485 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-485 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-485 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-485 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-485 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\n  body.postid-485 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-485 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-485 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-485 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-485 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-485 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-485 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-485 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-485 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-485 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-485 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-485 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-485 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-485 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-485 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-485 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-485 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-485 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-485 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-485 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-485 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-485 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-485 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-485 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-485 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-485 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-485 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-485 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-485 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-485 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-485 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-485 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-485 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-485 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 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Het probleem is nooit de effectiviteit geweest, het is de therapietrouw: handmatige invoer voedingsmiddel per voedingsmiddel put iedereen uit, en bijna 80&nbsp;% van de mensen geeft binnen 3&nbsp;maanden op. Deze gids vergelijkt de 4 methodes om je calorie\u00ebn te tellen, van de snelste (AI-fotoscan, 5&nbsp;seconden) tot de nauwkeurigste (database + weegschaal), en zegt je welke je moet kiezen volgens je profiel.\n    <\/div>\n        <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interactieve demo<\/small>Tik op het scherm om de app te verkennen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interactieve demo<\/small>Tik op het scherm<br>om de app te verkennen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Aper\u00e7u de l'application Lean avec drilldown du TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Terug\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Aper\u00e7u Lean, onglet D\u00e9pense\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Onglet Bilan\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Onglet Calories\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Tabblad Verbruik\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Onglet Strat\u00e9gie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviguer dans l'app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balans<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calorie\u00ebn<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Verbruik<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Snel antwoord<\/div>\n    <p>Vier methodes om je calorie\u00ebn te tellen: de <strong>AI-fotoscan<\/strong> (je fotografeert je bord, de AI identificeert elk voedingsmiddel en de hoeveelheid), de <strong>barcodescan<\/strong> (verpakte producten, fabrikantgegevens), de <strong>database<\/strong> (zoeken + wegen, de nauwkeurigste modus) en de<strong>snelle invoer<\/strong> (een globale schatting in 10&nbsp;seconden). De juiste methode is die welke je 6 maanden volhoudt, niet de nauwkeurigste op papier. En je inname tellen heeft alleen zin als je verbruik, de <span data-term=\"TDEE\">TDEE<span class=\"tt\">Total Daily Energy Expenditure: je totale calorieverbruik over 24&nbsp;u. TDEE = BMR + NEAT + EAT + TEF.<\/span><\/span>, juist wordt berekend.<\/p>\n  <\/div>\n<\/section>\n\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; De vaststelling<\/span><\/div>\n  <h2 id=\"constat\">Waarom 80&nbsp;% van de mensen na 3 maanden stopt met tellen<\/h2>\n  <p>Calorie\u00ebn tellen werkt. Daar gaat het niet om. Het gaat erom dat bijna niemand het volhoudt: studies over afslankprogramma&rsquo;s tonen een massale uitval vanaf de eerste weken, lang voor het eerste zichtbare resultaat op de weegschaal.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">80&nbsp;%<\/div>\n    <div class=\"lbl\">van de deelnemers aan een afslankprogramma geeft binnen de eerste 3 maanden op (Alexander et al., 2018). De dominante oorzaak: de wrijving van de opvolging, niet een gebrek aan wilskracht.<\/div>\n  <\/div>\n\n  <p>De wrijving, concreet: \u00abkipfilet\u00bb zoeken in een lijst, het juiste item kiezen tussen 40 duplicaten, 150&nbsp;g op het oog schatten, opnieuw beginnen voor de bonen, dan voor de olijfolie. Drie keer per dag. 90 keer per maand. Die boekhouding doodt de tracking, niet het idee van tracken.<\/p>\n\n  <p>Praktische conclusie: de keuze van je invoermethode is geen ergonomisch detail. Het is D\u00c9 variabele die beslist of je gegevens over 3 maanden nog bestaan. Dit zijn de 4 methodes, gerangschikt van de snelste tot de veeleisendste.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"scan-ia\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Methode 1<\/span><\/div>\n  <h2 id=\"scan-ia\">De AI-fotoscan: 5 seconden per maaltijd<\/h2>\n  <p>Je fotografeert je bord. De AI van Lean doet een <strong>dubbele identificatie<\/strong> : eerst herkent ze elk aanwezig voedingsmiddel (gegrilde kip, sperziebonen), daarna schat ze de hoeveelheid van elk. Het resultaat is geen globaal cijfer uit een hoge hoed: het is een uitsplitsing voedingsmiddel per voedingsmiddel, met calorie\u00ebn en macro&rsquo;s per regel.<\/p>\n\n  <figure style=\"margin:26px auto;max-width:250px;text-align:center\"><video controls playsinline preload=\"none\" poster=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/06\/poster-video-scan-ia-lean.webp\" width=\"1080\" height=\"1920\" style=\"width:100%;height:auto;border-radius:16px;display:block;background:#F7F6F2\"><source src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/scan-aliments-ia-application-lean.mp4\" type=\"video\/mp4\"><\/video><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">De AI-scan in echte omstandigheden: foto, analyse, resultaat.<\/figcaption><\/figure>\n\n  <p>In beeld, stap voor stap, bij een echte maaltijd:<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/scan-ia-repas-analyse-nutritionnelle-lean-app-511x1024.jpg\" alt=\"Scan IA dans Lean : photo du plat prise, champ de d\u00e9tails optionnel au clavier\" width=\"511\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Je kadreert. Een detail via het toetsenbord, als je wilt.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/analyse-ia-repas-poulet-haricots-verts-lean-app-519x1024.jpg\" alt=\"Analyse IA en cours dans Lean : la photo du plat est trait\u00e9e\" width=\"519\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">De AI analyseert het bord.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-scan-ia-repas-poulet-lean-app-519x1024.jpg\" alt=\"R\u00e9sultat du scan IA : chaque aliment compt\u00e9 avec calories et macros\" width=\"519\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Elk voedingsmiddel geteld.<\/figcaption><\/figure><\/div>\n\n  <p>Bij gangbare gerechten is de typische fout ongeveer \u00b110&nbsp;% per maaltijd. Dat is minder nauwkeurig dan een weegschaal, en ruimschoots voldoende om vetverlies te sturen (we komen erop terug met de wet van de grote aantallen verderop). Vooral: het is de enige methode die maaltijden zonder etiket dekt: thuis, restaurant, kantine.<\/p>\n\n  <h3>Waar Lean verder gaat: jij houdt de controle<\/h3>\n  <p>Een AI-scan is alleen nuttig als je kunt corrigeren wat hij voorstelt. Lean geeft je drie hefbomen, per voedingsmiddel:<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Hefboom 1<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">De hoeveelheden wijzigen<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Een slider per voedingsmiddel: hier het brood dat de AI op 101,4&nbsp;g schatte, gecorrigeerd naar 70&nbsp;g. Calorie\u00ebn en totaal van het gerecht worden meteen herberekend.<\/p><div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/mise-a-jour-calories-apres-ajustement-scan-ia-519x1024.jpg\" alt=\"Repas scann\u00e9 dans Lean avant correction : pain estim\u00e9 \u00e0 101,4 g\" width=\"519\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Brood door de AI geschat op 101,4&nbsp;g.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modifier-quantites-macros-scan-ia-lean-app-514x1024.jpg\" alt=\"Slider de quantit\u00e9 dans Lean : pain corrig\u00e9 \u00e0 70 g, recalcul instantan\u00e9\" width=\"514\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Gecorrigeerd naar 70&nbsp;g, alles wordt herberekend.<\/figcaption><\/figure><\/div><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Hefboom 2<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">De macro&rsquo;s wijzigen<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Ken je je recept beter dan het gemiddelde? Hier de chips: de AI stelt 4,1&nbsp;g vet voor, jij corrigeert naar 14&nbsp;g. Donut en totaal volgen.<\/p><div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modifier-macronutriments-aliment-scan-ia-lean-app-527x1024.jpg\" alt=\"Macros des chips estim\u00e9es par l'IA dans Lean : 4,1 g de lipides\" width=\"527\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Chips volgens de AI: 4,1&nbsp;g vet.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modification-quantite-chips-scan-ia-lean-app-517x1024.jpg\" alt=\"Macros des chips corrig\u00e9es \u00e0 la main dans Lean : 14 g de lipides\" width=\"517\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Handmatig gecorrigeerd: 14&nbsp;g.<\/figcaption><\/figure><\/div><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Hefboom 3<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">E\u00e9n voedingsmiddel opnieuw scannen<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Heeft de AI kalkoen voor kaas aangezien? Je typt de juiste naam, de regel wordt vanzelf opnieuw geanalyseerd, zonder het hele gerecht over te doen.<\/p><div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modifier-macronutriments-chips-scan-ia-lean-app-516x1024.jpg\" alt=\"Re-scan d'un aliment dans Lean : saisie du bon nom au clavier\" width=\"516\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Je preciseert: kalkoenham.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-final-apres-correction-scan-ia-lean-app-518x1024.jpg\" alt=\"R\u00e9sultat apr\u00e8s re-scan dans Lean : jambon de dinde identifi\u00e9, total recalcul\u00e9\" width=\"518\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Kalkoenham, 53&nbsp;kcal. Totaal herberekend.<\/figcaption><\/figure><\/div><\/div><\/div>\n\n  <h3>De test tegenover Cal AI: uitsplitsing tegen globale schatting<\/h3>\n  <p>Dezelfde foto, twee apps. Het verschil springt in het oog:<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0\"><figure style=\"flex:1;max-width:190px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/comparatif-analyse-ia-repas-lean-vs-cal-ai-532x1024.jpg\" alt=\"Comparatif scan IA : la m\u00eame photo de repas donn\u00e9e \u00e0 Lean et \u00e0 Cal AI\" width=\"532\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:18px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Dezelfde foto, aan beide apps gegeven.<\/figcaption><\/figure><\/div>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:center;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-scan-ia-sandwich-chips-lean-app-533x1024.jpg\" alt=\"R\u00e9sultat Lean : sandwich et chips d\u00e9compos\u00e9s aliment par aliment\" width=\"533\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Lean: elk voedingsmiddel, gedetailleerd totaal.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:200px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/analyse-scan-repas-ia-application-cal-ai-869x1024.webp\" alt=\"R\u00e9sultat Cal AI : enveloppe globale du plat sans d\u00e9composition\" width=\"869\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:18px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Cal AI: \u00e9\u00e9n globale schatting per gerecht.<\/figcaption><\/figure><\/div>\n\n  <p>Dat is het structurele verschil met de meeste scan-apps, Cal AI voorop: ze geven een <strong>globale schatting<\/strong> per gerecht, een totaal aan calorie\u00ebn en macro&rsquo;s zonder wijzigbare uitsplitsing per voedingsmiddel. Als de schatting fout is, neem je ze of gooi je ze weg. Met een uitsplitsing per voedingsmiddel corrigeer je de fout in twee tikken.<\/p>\n\n  <p><strong>Het juiste gebruik:<\/strong> zelfgemaakte gerechten, restaurant, kantine, alle maaltijden zonder barcode. De standaardmethode voor 90&nbsp;% van de maaltijden.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"code-barres\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Methode 2<\/span><\/div>\n  <h2 id=\"code-barres\">De barcodescan: de precisie van het etiket<\/h2>\n  <p>Voor alles wat uit een verpakking komt, is de barcode onverslaanbaar: de voedingswaarden komen rechtstreeks van de fabrikantgegevens. Lean steunt op de USDA- en OpenFoodFacts-databases, ofwel miljoenen referenties. Je scant, je past de hoeveelheid aan, klaar.<\/p>\n\n  <figure style=\"margin:26px auto;max-width:250px;text-align:center\"><video controls playsinline preload=\"none\" poster=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/06\/poster-video-scan-code-barres-lean.webp\" width=\"1080\" height=\"1920\" style=\"width:100%;height:auto;border-radius:16px;display:block;background:#F7F6F2\"><source src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Barcode-Scan-calorie-lean-app.mp4\" type=\"video\/mp4\"><\/video><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Barcodescan: exacte fiche, directe toevoeging.<\/figcaption><\/figure>\n\n  <p>De beperking is duidelijk: je bord zelfgemaakte pasta heeft geen barcode. Daarom combineert deze methode zich natuurlijk met de AI-fotoscan, ze vervangt hem niet.<\/p>\n\n  <p><strong>Het juiste gebruik:<\/strong> boodschappen, snacks, bewerkte producten, shakers. Maximale precisie op industri\u00eble producten, nul inspanning.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"base-donnees\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Methode 3<\/span><\/div>\n  <h2 id=\"base-donnees\">De database + weegschaal: de precisiemodus<\/h2>\n  <p>De historische methode: je weegt je voedingsmiddel, je zoekt het in de database, je voert de grammen in. Met een keukenweegschaal is het de nauwkeurigste methode die bestaat, die van wedstrijdvoorbereidingen en klinische protocollen.<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/fonctionnalites-ajout-aliment-recherche-scan-lean-app-502x1024.jpg\" alt=\"Recherche d'un aliment dans la base de donn\u00e9es Lean avec historique et ajout rapide\" width=\"502\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Zoeken, geschiedenis, toevoegen in twee tikken.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/details-nutritionnels-thon-conserve-lean-app-501x1024.jpg\" alt=\"Fiche nutritionnelle exacte d'un produit dans Lean avec impact sur les budgets du jour\" width=\"501\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Exacte productfiche, live impact.<\/figcaption><\/figure><\/div>\n\n  <p>Het paneel \u00abResterend \/ Impact\u00bb toont je, nog voor je bevestigt, wat het voedingsmiddel verandert aan je budgetten van de dag: calorie\u00ebn, eiwitten, koolhydraten, vetten, vezels. Je beslist met kennis van zaken, niet achteraf.<\/p>\n\n  <p>Lean beperkt de wrijving tot een minimum: geschiedenis van je frequente voedingsmiddelen, zoeken in USDA + OpenFoodFacts, toevoegen in twee tikken vanuit de lijst. Maar laten we eerlijk zijn over de echte kost: 2 tot 3 minuten per maaltijd, en de discipline om te wegen. Het is precies die wrijving die de 80&nbsp;% uitval van de klassieke methode veroorzaakt.<\/p>\n\n  <p><strong>Het juiste gebruik:<\/strong> strikte cut, gevorderde recompositie, sporten met gewichtsklassen. En je 5 tot 10 terugkerende dagelijkse voedingsmiddelen, die de geschiedenis bijna onmiddellijk maakt.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"ajout-rapide\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Methode 4<\/span><\/div>\n  <h2 id=\"ajout-rapide\">De snelle invoer: de schatting die de dag redt<\/h2>\n  <p>Verjaardagsbuffet, overvolle dag, staand eten tussen twee vergaderingen: sommige maaltijden zullen nooit fijn getrackt worden. De snelle invoer laat je een globale schatting invoeren, geschatte calorie\u00ebn en macro&rsquo;s, in 10 seconden. Minder nauwkeurig, oneindig beter dan een gat in de gegevens.<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/ajout-rapide-calories-macros-lean-app-501x1024.jpg\" alt=\"Formulaire d'ajout rapide dans Lean : nom, calories et macros saisis \u00e0 la main\" width=\"501\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Naam, calorie\u00ebn, macro&rsquo;s: 10 seconden.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-ajout-rapide-repas-journal-alimentaire-lean-app-501x1024.jpg\" alt=\"Ajout rapide enregistr\u00e9 dans le journal alimentaire Lean\" width=\"501\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">E\u00e9n schatting, dag gered.<\/figcaption><\/figure><\/div>\n\n  <p>De live caloriebalans doet de rest: op de schermafbeelding 2&nbsp;143&nbsp;kcal doel, 1&nbsp;000 geconsumeerd, 1&nbsp;143 resterend, continu herberekend in de loop van de dag. Een benaderende maar getrackte dag is beter dan een perfecte opgegeven dag: het weekgemiddelde stuurt het resultaat, niet de zuiverheid van \u00e9\u00e9n losse dag.<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/details-nutritionnels-repas-ajout-rapide-lean-app-504x1024.jpg\" alt=\"D\u00e9tails nutritionnels d'un repas en ajout rapide dans Lean : restants et impact\" width=\"504\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Resterend en impact, live herberekend.<\/figcaption><\/figure><\/div>\n\n  <p><strong>Het juiste gebruik:<\/strong> drukke dagen, sociale maaltijden, reddingsboei tegen opgeven. De methode die het \u00abik heb een maaltijd gemist, jammer voor de week\u00bb verhindert.<\/p>\n\n  <div class=\"hero-stores\" style=\"margin:36px 0 12px\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=guide-compter-calories\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=guide-compter-calories\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Gratis download<\/span>\n  <\/div>\n<\/section>\n\n\n<section aria-labelledby=\"profils\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Kiezen<\/span><\/div>\n  <h2 id=\"profils\">Welke methode voor welk profiel<\/h2>\n  <p>Eerst het duel van de 4 methodes op de 4 criteria die tellen: het gemak per maaltijd, de beschikbaarheid (werkt het overal, altijd), het volhouden op de lange termijn en de precisie.<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><h3 style=\"margin:0 0 2px;font-size:17px\">AI-fotoscan<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">De foto, 5 seconden<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Gemak<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Beschikbaarheid<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Lange termijn<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Precisie<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><\/div><\/div>\n    <div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #0F8F5C\"><h3 style=\"margin:0 0 2px;font-size:17px\">Barcode<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">Het exacte etiket<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Gemak<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Beschikbaarheid<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Lange termijn<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Precisie<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><\/div><\/div>\n    <div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #C8A019\"><h3 style=\"margin:0 0 2px;font-size:17px\">Database + weegschaal<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">De precisiemodus<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Gemak<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Beschikbaarheid<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Lange termijn<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Precisie<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><\/div><\/div>\n    <div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #6E6E73\"><h3 style=\"margin:0 0 2px;font-size:17px\">Snelle invoer<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">De reddingsschatting<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Gemak<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Beschikbaarheid<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Lange termijn<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Precisie<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><\/div><\/div><\/div>\n\n  <p style=\"font-size:13px;color:#6E6E73;margin-top:-6px\"><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span> uitstekend &nbsp; <span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span> goed &nbsp; <span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span> zwak punt. \u00abLange termijn\u00bb = de kans dat je de methode over 6 maanden nog gebruikt.<\/p>\n\n  <p>Lezing van het duel: geen enkele methode wint overal. De AI-scan domineert op therapietrouw, database + weegschaal op precisie, en de snelle invoer bestaat alleen om gaten te vullen. Vandaar de profielen: de 4 methodes sluiten elkaar niet uit, de juiste strategie is een mix, gedoseerd volgens je eis van het moment en je agenda. Drie profielen dekken bijna alle gevallen.<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Profiel 1 \u00b7 Beginner<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Nul wrijving, leren door te doen<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">AI-fotoscan overal, barcode voor verpakte producten, geen weging. Enig doel: 3 maanden volhouden en je oog trainen op porties. De precisie komt daarna, de gewoonte eerst.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #0F8F5C\"><div class=\"kicker\" style=\"color:#0F8F5C;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Profiel 2 \u00b7 Maximale strengheid<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Elk procent telt<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Weegschaal + database voor zelfgemaakte maaltijden, barcode voor verpakte producten, AI-scan in het restaurant. Voor de korte fases waarin precisie echt loont: einde van een cut, offici\u00eble weging.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #C8A019\"><div class=\"kicker\" style=\"color:#C8A019;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Profiel 3 \u00b7 Gehaast of gevorderd<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Betrouwbare gegevens zonder erbij na te denken<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Barcode en AI-scan dagelijks, snelle invoer als reddingsboei op onmogelijke dagen. Je kent je porties al, je wilt gewoon dat de gegevens bestaan.<\/p><\/div><\/div>\n\n  <p>Beslissingsregel, geldig voor iedereen: bij twijfel kies je de lichtste methode die je zeker volhoudt. Perfecte gegevens die je na 3 weken niet meer invoert, zijn nul waard.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"precision\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; Precisie<\/span><\/div>\n  <h2 id=\"precision\">De fout van \u00b110&nbsp;% die over een maand verdwijnt<\/h2>\n  <p>Het klassieke bezwaar tegen de AI-scan: \u00ab\u00b110&nbsp;% fout is te veel\u00bb. Dat is redeneren over \u00e9\u00e9n losse maaltijd. Maar je trackt geen maaltijd: je trackt er ongeveer 90 per maand.<\/p>\n\n  <div role=\"img\" aria-label=\"Douze repas scann\u00e9s : surestimations et sous-estimations se compensent autour de la consommation r\u00e9elle\" style=\"margin:24px 0;padding:24px 20px 14px;background:#F7F6F2;border-radius:12px\"><div style=\"position:relative;height:150px;display:flex;align-items:flex-start;gap:6px\"><div style=\"position:absolute;left:0;right:0;top:74px;height:2px;background:#0E0E10;z-index:2\"><\/div><div style=\"flex:1;height:58px;margin-top:17px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:30px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:22px;margin-top:53px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:48px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:40px;margin-top:35px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:12px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:30px;margin-top:45px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:55px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:18px;margin-top:57px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:35px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:45px;margin-top:30px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:20px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><\/div><div style=\"display:flex;justify-content:space-between;margin-top:10px;font-size:12px;color:#6E6E73\"><span>Maaltijd 1<\/span><span>Maaltijd 12<\/span><\/div><p style=\"margin:10px 0 0;font-size:13px;color:#3A3A3C;line-height:1.5;text-transform:none\">Roze: overschatte maaltijden. Groen: onderschatte maaltijden. Zwarte lijn: je echte consumptie. Over een maand compenseren de afwijkingen elkaar.<\/p><\/div>\n\n  <p>Dat is de wet van de grote aantallen (Kolmogorov): onafhankelijke willekeurige fouten compenseren elkaar naarmate het aantal waarnemingen toeneemt. De +12&nbsp;% van maandag heffen de 8&nbsp;% tekort van dinsdag op. Wat over een maand overblijft, is de gemiddelde bias van het model, dicht bij nul bij een goed gekalibreerde scan, niet de ruis van \u00e9\u00e9n maaltijd.<\/p>\n\n  <p>Handmatige invoer lijdt daarentegen aan een probleem van een heel andere aard: een <strong>systematische bias<\/strong>. Mensen onderrapporteren wat ze eten, altijd in dezelfde richting, en een bias vlakt nooit af.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">47&nbsp;%<\/div>\n    <div class=\"lbl\">verschil tussen handmatig gerapporteerde calorie\u00ebn en echt geconsumeerde calorie\u00ebn, gemeten met dubbel gelabeld water bij proefpersonen met een mislukt dieet (Lichtman, NEJM 1992). De menselijke bias compenseert zich niet, de willekeurige ruis van de scan wel.<\/div>\n  <\/div>\n\n  <p>Moraal: de vraag is niet \u00abis de AI-scan perfect?\u00bb maar \u00abwelke methode produceert de juistste gegevens over 90 maaltijden?\u00bb. En daar wint de automatisering, omdat ze een gerichte bias vervangt door ruis die zichzelf opheft.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"depense\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; Het verbruik<\/span><\/div>\n  <h2 id=\"depense\">Tellen volstaat niet: de andere helft van de vergelijking ontbreekt<\/h2>\n  <p>Een perfect voedingsdagboek zegt op zich niets. Vet verliezen is een negatieve energiebalans: inname onder verbruik. Als je verbruik slecht is berekend, is je tekort een boekhoudkundige fictie, en kun je je calorie\u00ebn op de gram tellen zonder ooit vooruit te gaan.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">TDEE = BMR + NEAT + EAT + TEF<\/div>\n    <div class=\"lbl\">De canonieke vergelijking van het verbruik. <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/metabolisme-de-base\/\">BMR<\/a> = basaal metabolisme. <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/neat-depense-non-sportive\/\">NEAT<\/a> = activiteit buiten de sport. <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/eat\/\">EAT<\/a> = trainingen. <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/effet-thermique-des-aliments\/\">TEF<\/a> = vertering.<\/div>\n  <\/div>\n\n  <p>Het probleem: bijna alle apps schatten je verbruik met Harris-Benedict (1919) of Mifflin-St Jeor (1990), formules op ruw gewicht die je lichaamssamenstelling negeren. Bij gelijk gewicht verbranden een lichaam met 15&nbsp;% vet en een lichaam met 30&nbsp;% helemaal niet hetzelfde. Lean berekent het verbruik anders, in vier stappen:<\/p>\n\n  <div class=\"bodyscan-illust\">\n    <div class=\"mini-phone\">\n      <div class=\"notch\"><\/div>\n      <div class=\"scr\" style=\"background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp);background-size:cover;background-position:center top;background-repeat:no-repeat\"><\/div>\n    <\/div>\n    <div class=\"mini-cap\" style=\"text-align:center;font-size:13px;color:#6E6E73;max-width:200px\">Echt vetpercentage. Foto, 5 seconden.<\/div>\n  <\/div>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Stap 1<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">AI BodyScan<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Je neemt een foto in de app. De AI schat je vetpercentage op basis van je zichtbare morfologie, wekelijks herhaald. Die meting verankert de hele berekening op je vetvrije massa, niet op je ruwe gewicht.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Stap 2<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">BMR via gepatenteerd eigen model<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Het gepatenteerde Lean-algoritme berekent je basaal metabolisme op basis van je echte vetvrije massa. Nauwkeuriger dan Harris-Benedict 1919 of Mifflin-St Jeor 1990, die alleen je gewicht kennen.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Stap 3<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">NEAT, EAT en TEF gemeten, niet forfaitair<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Je stappen tellen in de NEAT, je trainingen in de EAT via de MET-referentietabellen, en de TEF wordt berekend op de macro&rsquo;s die je echt hebt gegeten, juist dankzij je tracking.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Stap 4<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Metabole adaptatie herberekend<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Bij een langdurig tekort daalt de BMR. Lean is de eerste app die deze co\u00ebffici\u00ebnt modelleert en multiplicatief op de BMR toepast. Conventie 100&nbsp;% = optimaal, 90&nbsp;% = adaptatie van 10 punten.<\/p><\/div><\/div>\n\n  <p>Resultaat: de live balans vergelijkt wat je eet (geteld met de 4 methodes van deze gids) met wat je echt verbruikt, continu herberekend. Het is de combinatie van de twee helften, juiste inname en juist verbruik, die vetverlies voorspelbaar maakt. De ene zonder de andere is boekhouden in het luchtledige.<\/p>\n\n  <div class=\"hero-stores\" style=\"margin:36px 0 12px\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=guide-compter-calories\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=guide-compter-calories\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Gratis download<\/span>\n  <\/div>\n<\/section>\n\n\n<section aria-labelledby=\"faq\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq\">Veelgestelde vragen over calorie\u00ebn tellen<\/h2>\n  <div class=\"faq\">\n    <details><summary>Hoeveel calorie\u00ebn per dag om af te vallen?<\/summary><div class=\"ans\">Er bestaat geen universeel cijfer: alles hangt af van je totale verbruik (TDEE), dat varieert volgens je basaal metabolisme, je dagelijkse activiteit, je sport en je lichaamssamenstelling. De betrouwbare regel: een tekort van 300 tot 500&nbsp;kcal onder je echte TDEE, nooit een generiek cijfer zoals \u00ab1&nbsp;500&nbsp;kcal\u00bb uit het niets. Je kunt de jouwe schatten met de <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/calculateur-deficit-calorique\/\">calculator voor calorietekort<\/a>.<\/div><\/details>\n    <details><summary>Is de AI-fotoscan betrouwbaar om calorie\u00ebn te tellen?<\/summary><div class=\"ans\">Ja, op voorwaarde dat je begrijpt wat wordt gemeten. Bij gangbare gerechten is de typische fout ongeveer \u00b110&nbsp;% per maaltijd, met een identificatie voedingsmiddel per voedingsmiddel die je kunt corrigeren (hoeveelheden, macro&rsquo;s, opnieuw scannen). Over een maand, ongeveer 90 maaltijden, compenseren de willekeurige fouten elkaar door de wet van de grote aantallen: wat telt, is de gemiddelde bias, niet de afwijking van \u00e9\u00e9n losse maaltijd.<\/div><\/details>\n    <details><summary>Moet je je voedsel wegen om calorie\u00ebn te tellen?<\/summary><div class=\"ans\">Alleen als je in een fase zit waarin elk procent telt: strikte cut, gevorderde recompositie, sport met gewichtsklassen. Voor de grote meerderheid van de mensen volstaan AI-fotoscan en barcode ruimschoots. Therapietrouw over 6 maanden weegt veel zwaarder in het eindresultaat dan de theoretische precisie van een weging die je zult opgeven.<\/div><\/details>\n    <details><summary>Moet je elke dag calorie\u00ebn tellen?<\/summary><div class=\"ans\">Het weekgemiddelde stuurt het resultaat, niet de dagelijkse perfectie. Op drukke dagen is een snelle invoer van 10 seconden oneindig beter dan een gat in de gegevens. Een benaderende maaltijd breekt niets; een week zonder enige gegevens wel, omdat ze de trend verbergt.<\/div><\/details>\n    <details><summary>Waarom val ik niet af terwijl ik mijn calorie\u00ebn tel?<\/summary><div class=\"ans\">Twee oorzaken domineren. E\u00e9n, onderrapportage: tot 47&nbsp;% gemeten verschil tussen handmatig gerapporteerde en echt geconsumeerde calorie\u00ebn (Lichtman, 1992); de AI-scan vermindert die bias door het bord te meten in plaats van je geheugen. Twee, een overschat verbruik: de meeste apps berekenen je TDEE met formules op ruw gewicht die je vetpercentage en de metabole adaptatie negeren. Als het verbruik fout is, bestaat het getoonde tekort niet.<\/div><\/details>\n    <details><summary>Word je obsessief van calorie\u00ebn tellen?<\/summary><div class=\"ans\">Het doel is precies het omgekeerde: de opvolging terugbrengen tot enkele seconden per maaltijd zodat ze geen mentale ruimte inneemt, waar handmatige boekhouding w\u00e9l invasief kan worden. Enkele maanden tracking trainen je oog op porties; daarna kun je afbouwen, of zelfs overgaan op snelle invoer. Bij een gediagnosticeerde eetstoornis bespreek je het met een zorgprofessional voordat je gaat tracken.<\/div><\/details>\n    <details><summary>Wat is het verschil tussen Lean en MyFitnessPal om calorie\u00ebn te tellen?<\/summary><div class=\"ans\">MyFitnessPal berust op een gigantische collaboratieve database maar een hoofdzakelijk handmatige invoer, en een TDEE geschat op ruw gewicht. Lean splitst elk gerecht per voedingsmiddel uit via de AI-scan, en berekent vooral je verbruik op je echte vetpercentage gemeten via BodyScan, met metabole adaptatie. De inname tellen heeft alleen zin als het verbruik juist is. De details app per app staan in onze <a class=\"inline\" href=\"https:\/\/lean-app.com\/nl\/meilleures-applications-calories-2026\/\">vergelijking van de beste calorie-apps<\/a>.<\/div><\/details>\n  <\/div>\n<\/section>\n\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Bronnen<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliografie<\/h3>\n  <ol class=\"src-list\">\n    <li>Burke L.E., Wang J., Sevick M.A. (2011). Self-monitoring in weight loss: a systematic review of the literature. <em>J Am Diet Assoc<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21185970\/\" target=\"_blank\" rel=\"noopener\">PubMed 21185970<\/a>.<\/li>\n    <li>Alexander E., Tseng E., Durkin N. et al. (2018). Factors associated with early dropout in an employer-based commercial weight-loss program. <em>Obes Sci Pract<\/em>. <a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC6298204\/\" target=\"_blank\" rel=\"noopener\">PMC6298204<\/a>.<\/li>\n    <li>Lichtman S.W. et al. (1992). Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. <em>N Engl J Med<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/1454084\/\" target=\"_blank\" rel=\"noopener\">PubMed 1454084<\/a>.<\/li>\n    <li>Martin C.K. et al. (2009). A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method. <em>Br J Nutr<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/18616837\/\" target=\"_blank\" rel=\"noopener\">PubMed 18616837<\/a>.<\/li>\n    <li>USDA FoodData Central. Voedingsdatabase van referentie. <a href=\"https:\/\/fdc.nal.usda.gov\/\" target=\"_blank\" rel=\"noopener\">fdc.nal.usda.gov<\/a>.<\/li>\n    <li>Open Food Facts. Wereldwijde collaboratieve database van verpakte voedingsproducten. <a href=\"https:\/\/world.openfoodfacts.org\/\" target=\"_blank\" rel=\"noopener\">world.openfoodfacts.org<\/a>.<\/li>\n    <li>Hall K.D. et al. (2011). Quantification of the effect of energy imbalance on bodyweight. <em>Lancet<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21872751\/\" target=\"_blank\" rel=\"noopener\">PubMed 21872751<\/a>.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. <em>Am J Clin Nutr<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" target=\"_blank\" rel=\"noopener\">PubMed 2305711<\/a>.<\/li>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Ainsworth B.E. et al. (2011). Compendium of Physical Activities: a second update of codes and MET values. <em>Med Sci Sports Exerc<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21681120\/\" target=\"_blank\" rel=\"noopener\">PubMed 21681120<\/a>.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Gids gepubliceerd op 13 juli 2025 door het Lean-team. Bijgewerkt op 11 juni 2026: volledige herwerking, nieuwe schermafbeeldingen van de AI-scan en wetenschappelijke bronnen. Lean is beschikbaar op iOS en Android.<\/p>\n      <\/div>\n      <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n        <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=guide-compter-calories\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/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=guide-compter-calories\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n\nsetTimeout(function(){\n  var shell = document.getElementById('lvm-shell');\n  if (shell) shell.classList.add('force-show');\n}, 2000);\n\n(function(){\n  var phoneImg = document.getElementById('phoneImg');\n  var phoneBack = document.getElementById('phoneBack');\n  var zones = document.getElementById('phoneZones');\n  var topTabs = document.querySelectorAll('.phone-tabs button');\n  var navTaps = document.querySelectorAll('.phone-navbar button');\n\n  var tabMap = {\n    bilan:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 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showSub(z.dataset.sub); });\n    z.addEventListener('keydown', function(e){\n      if (e.key==='Enter' || e.key===' ') { e.preventDefault(); hideHints(); showSub(z.dataset.sub); }\n    });\n  });\n  phoneBack.addEventListener('click', function(){ hideHints(); showTab(currentTab); });\n})();\n<\/script>\n<\/div>\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;\">Lees ook<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"https:\/\/lean-app.com\/nl\/depense-energetique-totale-v2\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Totaal energieverbruik (TDEE): de canonieke formule BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">De andere helft van de vergelijking: je verbruik steen voor steen begrijpen.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/nl\/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;\">Basaal metabolisme (BMR): alles wat je moet weten om het te berekenen <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Waarom je vetpercentage alles verandert, en waarom de formules van 1919 zich vergissen.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/nl\/meilleures-applications-calories-2026\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">De beste apps om calorie\u00ebn te tellen in 2026: 8 apps getest <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lean, MFP, Cronometer, Yazio, Lifesum, FatSecret, Noom, Foodvisor.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/nl\/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;\">Calculator calorietekort: de juiste aanpak voor een cut <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Tekort op je echte TDEE op basis van vetpercentage. 3 tempo&rsquo;s: langzaam\/matig\/agressief.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/nl\/eat\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">EAT: het calorieverbruik van je trainingen <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Waarom je horloge overschat, en hoe Lean je trainingen berekent.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/nl\/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;\">TEF: het thermisch effect van voeding op basis van je macro&rsquo;s <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">De verbruiksbouwsteen die je tracking rechtstreeks voedt.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Scan IA photo, code-barres, base de donn\u00e9es, ajout rapide : la pr\u00e9cision r\u00e9elle de chaque m\u00e9thode pour compter ses calories, et celle qui tient 6 mois.<\/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-485","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>Hoe je je calorie\u00ebn telt: de 4 methodes vergeleken - Lean<\/title>\n<meta name=\"description\" content=\"AI-fotoscan, barcode, database, snelle invoer: wat elke methode echt waard is, en welke je over 6 maanden nog volhoudt.\" \/>\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\/nl\/comment-compter-ses-calories\/\" \/>\n<meta property=\"og:locale\" content=\"nl_NL\" \/>\n<meta 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