{"id":1760,"date":"2026-08-15T22:24:56","date_gmt":"2026-08-15T22:24:56","guid":{"rendered":"https:\/\/lean-app.com\/lean-vs-foodvisor\/"},"modified":"2026-09-08T18:18:33","modified_gmt":"2026-09-08T18:18:33","slug":"lean-vs-foodvisor","status":"publish","type":"post","link":"https:\/\/lean-app.com\/fi\/lean-vs-foodvisor\/","title":{"rendered":"Lean vs Foodvisor: AI-kuvaskannaus vastaan todellinen kulutuksesi"},"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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.method h3{margin-top:0}\n#lvm-shell .method p{font-size:16px;color:var(--muted);line-height:1.7}\n\n#lvm-shell .cta-band{margin:40px 0;padding:26px 28px;background:var(--paper);border-radius:16px;display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;border:1px solid var(--rule-soft)}\n#lvm-shell .cta-band .l{font-family:var(--font-display);font-size:18px;line-height:1.35;font-weight:500;color:var(--ink);flex:1;min-width:240px;letter-spacing:-.01em}\n#lvm-shell .cta-band .stores{display:flex;gap:10px;align-items:center}\n#lvm-shell .cta-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .cta-band .stores a:hover{transform:translateY(-2px)}\n#lvm-shell .cta-band .stores img{height:42px;width:auto;border-radius:9px}\n\n#lvm-shell .pyramid{margin:30px auto;max-width:440px}\n#lvm-shell .pyramid .level{margin:6px auto;padding:13px 18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1760 #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-1760 #lvm-shell .wrap,\nbody.postid-1760 #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-1760 #lvm-shell .wrap,\n  body.postid-1760 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1760 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1760 #lvm-shell *{max-width:100%}\nbody.postid-1760 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1760 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1760 #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-1760 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1760 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1760 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1760 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1760 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1760 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1760 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1760 #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 === *\/\n@media (max-width:760px){\n  body.postid-1760 #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-1760 #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-1760 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1760 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1760 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1760 #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-1760 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1760 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1760 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1760 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1760 #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-1760 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1760 #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-1760 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1760 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1760 #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-1760 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1760 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1760 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1760 #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-1760 #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-1760 #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-1760 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1760 #lvm-shell .scorecard-row .bar.mfp::before{color:#6ABF6C!important}\n  body.postid-1760 #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-1760 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1760 #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  body.postid-1760 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1760 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1760 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1760 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1760 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1760 #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-1760 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1760 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1760 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/Foodvisor === *\/\n@media (max-width:760px){\n  body.postid-1760 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1760 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1760 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1760 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1760 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1760 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#EFF7EF!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1760 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1760 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"FOODVISOR\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#6ABF6C!important;\n  }\n  body.postid-1760 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1760 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS triplet NEAT\/EAT\/TEF === *\/\n@media (max-width:760px){\n  body.postid-1760 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1760 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1760 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1760 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1760 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1760 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1760 #lvm-shell .mini-cap strong{font-size:12px!important;margin-top:2px!important}\n}\n\n\/* === MOCKUP TAP HINT MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1760 #lvm-shell .tap-hint.mobile{position:relative!important;width:100%!important;left:auto!important;top:auto!important;text-align:center!important;margin:0 auto 14px!important;display:block!important}\n  body.postid-1760 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1760 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR === *\/\nbody.postid-1760 #lvm-shell .bodyscan-illust{margin:40px auto 8px!important;display:flex!important;flex-direction:column!important;align-items:center!important;gap:14px!important;max-width:220px!important}\nbody.postid-1760 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1760 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1760 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1760 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1760 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1760 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1760 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  \/* Hard fallback: force .rev visible after 2s if IntersectionObserver doesn't fire *\/\n  setTimeout(function(){\n    var shell = document.getElementById('lvm-shell');\n    if(!shell) return;\n    var anyOn = shell.querySelector('.rev.on');\n    if(!anyOn){ shell.classList.add('force-show'); }\n  }, 2000);\n\n  \/* ResizeObserver fallback: ensure charts resize correctly *\/\n  if (typeof ResizeObserver !== 'undefined'){\n    var observer = new ResizeObserver(function(entries){\n      entries.forEach(function(entry){\n        var canvas = entry.target.querySelector('canvas');\n        if (!canvas || !window.Chart) return;\n        var inst = window.Chart.getChart(canvas);\n        if (inst) { try { inst.resize(); } catch(e){} }\n      });\n    });\n    document.querySelectorAll('#lvm-shell .cv-wrap').forEach(function(w){ observer.observe(w); });\n  }\n})();\n<\/script>\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/fi\/\" aria-label=\"Lean-etusivu\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/fi\/tdee-calculator\/\">TDEE-laskuri<\/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=vs-foodvisor\" target=\"_blank\" rel=\"noopener\" aria-label=\"Lataa App Storesta\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\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=vs-foodvisor\" target=\"_blank\" rel=\"noopener\" aria-label=\"Saatavilla Google Playsta\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/fi\/\">Etusivu<\/a> &nbsp;\/&nbsp; Lean vs Foodvisor<\/div>\n  <div class=\"eyebrow\">Vertailu &middot; Ravitsemus &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean vastaan Foodvisor.\n    <span class=\"alt\">Kuvaskannauksen edell\u00e4k\u00e4vij\u00e4 vastaan ainoa, joka rakentaa TDEE:si uudelleen jatkuvasti.<\/span>\n  <\/h1>\n  <p class=\"dek\">Foodvisor n\u00e4kee lautasesi. Lean n\u00e4kee todellisen kulutuksesi. Kaksi teko\u00e4ly\u00e4, ongelman kaksi puolta.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>Lean-tiimi<\/strong> &middot; Lukuaika 12&nbsp;min &middot; P\u00e4ivitetty 15.8.2026<\/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=vs-foodvisor\" 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=vs-foodvisor\" 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\">Ilmainen lataus<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Foodvisor on aterioiden kuvaskannauksen ranskalainen edell\u00e4k\u00e4vij\u00e4: kuvaat lautasesi, teko\u00e4ly tunnistaa ruoka-aineet ja arvioi annokset. T\u00e4ll\u00e4 ongelman puoliskolla kunnia on ansaittu. Mutta toinen puolisko, kulutuksesi, on siell\u00e4 yh\u00e4 v\u00e4est\u00f6kaava (Mifflin-St Jeor 1990) plus staattinen aktiivisuuskerroin, joka valitaan kerran rekister\u00f6ityess\u00e4. Ilman mitattua todellista rasvaprosenttia, ilman metabolista adaptaatiota. Lean vs Foodvisor -ottelua ei siis ratkaista kuvalla: se ratkaistaan sill\u00e4, mit\u00e4 sovellus tekee luvulla 3 kuukauden vakavassa dieetiss\u00e4.\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>Interaktiivinen demo<\/small>Napauta n\u00e4ytt\u00f6\u00e4 tutkiaksesi sovellusta<\/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>Interaktiivinen demo<\/small>Napauta n\u00e4ytt\u00f6\u00e4<br>tutkiaksesi sovellusta<\/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=\"Lean-sovelluksen esikatselu TDEE-erittelyll\u00e4\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Takaisin\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-esikatselu, Kulutus-v\u00e4lilehti\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"BMR-tiedot\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-tiedot\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-tiedot\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-tiedot\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Yhteenveto-v\u00e4lilehti\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Kalorit-v\u00e4lilehti\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Kulutus-v\u00e4lilehti\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Strategia-v\u00e4lilehti\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navigoi Lean-sovelluksessa\">\n          <button data-tab=\"bilan\"     type=\"button\">Yhteenveto<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorit<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Kulutus<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategia<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Pikavastaus<\/div>\n    <p>Foodvisor keksi aterioiden kuvaskannauksen Ranskassa ja on yh\u00e4 referenssi sen tunnistamiseen, mit\u00e4 sy\u00f6t: kuva, ruoka-aineiden tunnistus, annosten arviointi. Kulutuspuolella Foodvisor sit\u00e4 vastoin nojaa v\u00e4est\u00f6kaavaan (Mifflin-St Jeor 1990, ilman mitattua rasvaprosenttia) ja rekister\u00f6ityess\u00e4 valittuun staattiseen aktiivisuuskertoimeen. Lean l\u00e4hestyy ongelmaa toisesta suunnasta: laskee uudelleen jokaisen TDEE:n komponentin (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Levossa kulutettu energia. Leanissa laskettu todellisesta rasvattomasta massasta AI BodyScanilla.<\/span><\/span> todellisen rasvaprosentin perusteella patentoidulla omalla mallilla, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Askeliin ja p\u00e4ivitt\u00e4isiin aktiviteetteihin urheilun ulkopuolella liittyv\u00e4 kulutus.<\/span><\/span> askeleittain, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Treeneihisi liittyv\u00e4 kulutus, laskettu MET:n avulla.<\/span><\/span> MET:n mukaan, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Ruoansulatukseen kulunut energia. Riippuu nautituista makroista.<\/span><\/span> makrojen mukaan) ja moduloida BMR:\u00e4\u00e4 metabolisella adaptaatiolla jatkuvasti, ilman valittavaa kerrointa.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; Havainto<\/span><\/div>\n  <h2 id=\"constat\">Foodvisor n\u00e4kee lautasesi, ei todellista kulutustasi<\/h2>\n  <p>Jos luet t\u00e4t\u00e4, olet luultavasti jo asentanut Foodvisorin. Valitsit sen juuri sen vuoksi, mit\u00e4 kukaan ei tehnyt ennen sit\u00e4: kuvaat lautasesi ja annat teko\u00e4lyn tunnistaa kanan, riisin, kastikkeen ja arvioida annokset ottamatta vaakaa esiin. Sy\u00f6tit painosi, pituutesi, ik\u00e4si, sukupuolesi ja valitsit aktiivisuustasosi staattiselta listalta. Sovellus n\u00e4ytti sinulle kaloritavoitteen, sanotaan 2&nbsp;250&nbsp;kcal laihtumiseen.<\/p>\n  <p>Noudatit s\u00e4\u00e4nt\u00f6j\u00e4. Skannasit ateriasi, korjasit annokset, kun teko\u00e4ly ep\u00e4r\u00f6i, pidit kirjauksen siistin\u00e4 p\u00e4iv\u00e4st\u00e4 toiseen. Ensimm\u00e4iset 6 viikkoa se toimii. Laihdut. Olet tyytyv\u00e4inen. Sitten viikon 8 tienoilla vaaka j\u00e4m\u00e4ht\u00e4\u00e4. Kirist\u00e4t ruuvia. Laskeudut 2&nbsp;000&nbsp;kcal:iin. Ei viel\u00e4k\u00e4\u00e4n mit\u00e4\u00e4n.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">&minus;10 \u2013 &minus;15&nbsp;%<\/div>\n    <div class=\"lbl\">mitattu TDEE:n lasku 4\u20136 viikon &minus;500&nbsp;kcal\/p\u00e4iv\u00e4 vajeen j\u00e4lkeen. Foodvisor ei havaitse sit\u00e4. Kaloritavoitteesi pysyy j\u00e4\u00e4dytettyn\u00e4 100&nbsp;p\u00e4iv\u00e4n takaiseen aktiivisuustasoosi.<\/div>\n  <\/div>\n\n  <p>Kuvitellaan, ett\u00e4 Foodvisor n\u00e4ytt\u00e4\u00e4 sinulle 2&nbsp;500&nbsp;kcal:n TDEE:n. Sy\u00f6t 2&nbsp;250 (teoreettinen vaje 250&nbsp;kcal). Mutta todellisuudessa <a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/depense-energetique-totale-v2\/\">TDEE on laskenut 2&nbsp;200&nbsp;kcal:iin<\/a> metabolisen adaptaation vuoksi. Olet 50&nbsp;kcal:n ylij\u00e4\u00e4m\u00e4ss\u00e4 tiet\u00e4m\u00e4tt\u00e4si. Ei mit\u00e4\u00e4n mahdollisuutta jatkaa laihtumista, edes markkinoiden siisteimm\u00e4ll\u00e4 kirjauksella.<\/p>\n  <p>Foodvisorin lupaus on selke\u00e4 ja pidetty: tied\u00e4t, mit\u00e4 lautasellasi on punnitsematta mit\u00e4\u00e4n. Se on arvokasta. Se, mit\u00e4 Foodvisor ei tee, on <a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/comment-compter-ses-calories\/\">laskea kulutuksesi uudelleen<\/a> vajeviikkojen edetess\u00e4. Ja juuri siihen lupaus p\u00e4\u00e4ttyy, vaikka se on vipuvarsi, joka saa laihtumaan.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p1\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Ongelma 1<\/span><\/div>\n  <h2 id=\"p1\">Vuoden 1990 BMR-kaava, ilman mitattua rasvaprosenttia<\/h2>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Kuva 1 &middot; Mies 1,80 m, 120&nbsp;kg, 30&nbsp;% BF<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartBMR\" aria-label=\"BMR-vertailu Mifflin-St Jeor 2500 kcal vs Leanin patentoitu oma malli 2000 kcal, ero 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Arvioitu BMR.<\/strong> Leanin patentoitu oma malli ottaa huomioon rasvattoman massan. Mifflin-St Jeor (v\u00e4est\u00f6kaava, ilman rasvaprosenttia) ei. Ero 500&nbsp;kcal, kokonaisen lounaan verran.<\/p>\n  <\/div>\n\n  <p>Perusaineenvaihduntasi (BMR, levossa polttamasi energia) laskemiseen Foodvisor l\u00e4htee profiilistasi: paino, pituus, ik\u00e4, sukupuoli. Se on l\u00e4hes kaikkien kuluttajakaloritrackereiden logiikka, perittyn\u00e4 Mifflin-St Jeorin kaltaisista v\u00e4est\u00f6kaavoista. Ja on oltava rehellinen: se on parempi kuin Harris-Benedict 1919, jota muut sovellukset yh\u00e4 k\u00e4ytt\u00e4v\u00e4t.<\/p>\n  <p>Mifflin-St Jeor on vuodelta 1990 (PubMed 2305711). Otos on laaja (498 koehenkil\u00f6\u00e4), ep\u00e4suoran kalorimetrian menetelm\u00e4 on vakava, kaava on kalibroitu nykyaikaisella v\u00e4est\u00f6ll\u00e4: 10 \u00d7 paino (kg) + 6,25 \u00d7 pituus (cm) \u2212 5 \u00d7 ik\u00e4 \u2212 161 (naiset) tai +5 (miehet).<\/p>\n  <p>Ongelma ei ole valittu kaava. Ongelma on se, mit\u00e4 mik\u00e4\u00e4n t\u00e4m\u00e4ntyyppinen kaava ei voi n\u00e4hd\u00e4: <strong>se ottaa huomioon vain painon. Ei rasvaprosenttia. Ei rasvatonta massaa.<\/strong> Mik\u00e4\u00e4n Foodvisorin onboardingin kentt\u00e4 ei kysy rasvaprosenttiasi, eik\u00e4 sovelluksessa ole mittausta.<\/p>\n  <p>Kuitenkin 1980-luvulta l\u00e4htien on tiedetty, ett\u00e4 <strong>rasvamassa kuluttaa hyvin v\u00e4h\u00e4n energiaa<\/strong> muuhun kehoon verrattuna. Maksa, aivot, syd\u00e4n, munuaiset ja ennen kaikkea lihakset ovat todellisia kulutuseri\u00e4. Rasvamassa on inertti. Henkil\u00f6, jonka rasvaprosentti on 30&nbsp;%, ei polta l\u00e4hesk\u00e4\u00e4n yht\u00e4 paljon kuin henkil\u00f6, jonka rasvaprosentti on 10&nbsp;%, edes samalla painolla.<\/p>\n  <p>Frankenfield 2013 (PubMed 23631843) vertasi Mifflin-St Jeoria ep\u00e4suoran kalorimetrian referenssiin lihavilla ja ei-lihavilla kohorteilla. Tulos: 87&nbsp;% tarkkuus ei-lihavilla, ja vain <strong>75&nbsp;% lihavilla<\/strong>. Uudempi tutkimus (PMC11820646) osoittaa, ett\u00e4 yli 35:n BMI:ll\u00e4 Mifflin erehtyy <strong>250\u2013315&nbsp;kcal p\u00e4iv\u00e4ss\u00e4<\/strong>. Se vastaa kokonaista v\u00e4lipalaa vajeen laskennassa.<\/p>\n  <p>500&nbsp;kcal ei ole pikkujuttu. Jos sovellus sanoo \u00abBMR:si on 2&nbsp;500\u00bb ja se on todellisuudessa 2&nbsp;000, kaikki sen j\u00e4lkeen on v\u00e4\u00e4rin: vajetavoitteesi, viikoittainen pudotusennusteesi, TDEE:n prosentteina laskettu makrojakaumasi. Eik\u00e4 mik\u00e4\u00e4n lautaskuva, kuinka hyvin tunnistettu tahansa, korjaa v\u00e4\u00e4r\u00e4\u00e4 tavoitetta.<\/p>\n\n  <div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:200px\">\n    <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Todellinen rasvaprosentti<strong>Kuva, 5 sekuntia<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">ero kahden 80&nbsp;kg painavan miehen v\u00e4lill\u00e4, toisen rasvaprosentti 10&nbsp;% (BMR 1&nbsp;900), toisen 30&nbsp;% (BMR 1&nbsp;500). Painoon perustuva kaava n\u00e4ytt\u00e4\u00e4 heille saman luvun.<\/div>\n  <\/div>\n\n  <p>Osajohtop\u00e4\u00e4t\u00f6s: jos sovellus laskee BMR:si pelk\u00e4st\u00e4\u00e4n painostasi, pituudestasi, i\u00e4st\u00e4si ja sukupuolestasi, tulos ei voi olla yksil\u00f6llinen. Se on matemaattisesti mahdotonta. Jopa parhaalla lautasentunnistuksella sy\u00f6tteen\u00e4.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p2\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Ongelma 2<\/span><\/div>\n  <h2 id=\"p2\">Aktiivisuuskerroin, valittu kerran kaikkiaan<\/h2>\n  <p>T\u00e4ss\u00e4 asia muuttuu vakavaksi. Ja t\u00e4m\u00e4 on luultavasti kohta, jota kukaan ei ole selitt\u00e4nyt sinulle.<\/p>\n  <p>Kun BMR:si on arvioitu, Foodvisorin on siirrytt\u00e4v\u00e4 kokonais-TDEE:hen. <a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/depense-energetique-totale-v2\/\">TDEE on BMR + kaikki muu<\/a> : askeliin, p\u00e4ivitt\u00e4isiin aktiviteetteihin, urheiluun ja ruoansulatukseen liittyv\u00e4 kulutus. Kaikki, mik\u00e4 ei ole perusaineenvaihduntaa.<\/p>\n  <p>Miten Foodvisor tekee sen&nbsp;? Kuten l\u00e4hes kaikki trackerit: se pyyt\u00e4\u00e4 sinua rekister\u00f6ityess\u00e4 valitsemaan aktiivisuustasosi staattiselta listalta. N\u00e4it\u00e4 kertoimia kutsutaan urheilutieteess\u00e4 <strong>PAL-tasoja<\/strong> (Physical Activity Level), se on vain BMR:\u00e4\u00e4si sovellettava kerroin:<\/p>\n  <ul>\n    <li>V\u00e4h\u00e4n liikkuva (PAL 1,2): toimisto, v\u00e4h\u00e4n k\u00e4vely\u00e4<\/li>\n    <li>Kevyesti aktiivinen (PAL 1,375): satunnainen k\u00e4vely<\/li>\n    <li>Aktiivinen (PAL 1,55): urheilua 3\u20135 kertaa viikossa<\/li>\n    <li>Eritt\u00e4in aktiivinen (PAL 1,725): intensiivist\u00e4 urheilua l\u00e4hes p\u00e4ivitt\u00e4in<\/li>\n    <li>\u00c4\u00e4rimm\u00e4isen aktiivinen (PAL 1,9): eritt\u00e4in intensiivist\u00e4 urheilua tai fyysist\u00e4 ty\u00f6t\u00e4<\/li>\n  <\/ul>\n  <p>Ja valintasi mukaan sovellus kertoo BMR:si vastaavalla kertoimella. Siin\u00e4 kaikki. Se on kaikki, mit\u00e4 p\u00e4ivitt\u00e4isen kaloritavoitteesi takana on. Ruutu, jonka SIN\u00c4 rastitit yhden kerran rekister\u00f6ityess\u00e4si. Usein puoli vuotta sitten. Muuttumatta siit\u00e4 l\u00e4htien.<\/p>\n  <p>Ja t\u00e4ss\u00e4 on hiljainen ansa: t\u00e4m\u00e4 likiarvo on <strong>\u00e4\u00e4rimm\u00e4isen ep\u00e4t\u00e4ydellinen<\/strong>. Ero p\u00e4iv\u00e4n, jolloin olet liimautuneena sohvalle Netflixin \u00e4\u00e4reen, ja p\u00e4iv\u00e4n, jolloin menet Disneylandiin lastesi kanssa ja k\u00e4velet 15&nbsp;km, v\u00e4lill\u00e4 <strong>se on yli 1&nbsp;000&nbsp;kcal<\/strong>. Yksik\u00e4\u00e4n 5 ruudusta ei tavoita sit\u00e4.<\/p>\n  <p>Foodvisor osaa kuitenkin seurata aktiivisuuttasi: sovellus voi laskea askeleesi ja tallentaa treenisi. Mutta t\u00e4m\u00e4 data palvelee l\u00e4hinn\u00e4 aktiivisuutesi n\u00e4ytt\u00e4mist\u00e4, ei t\u00e4ydellisen TDEE:n uudelleenrakentamista: kaloritavoitteesi perustuu yh\u00e4 onboardingissa valittuun kertoimeen, ja liikuntakulutus lis\u00e4t\u00e4\u00e4n siihen ilman, ett\u00e4 NEAT ja EAT erotetaan kunnolla.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Kuva 2 &middot; 7 todellista p\u00e4iv\u00e4\u00e4<\/span><span class=\"r\">kcal\/p\u00e4iv\u00e4<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartNEAT\" aria-label=\"Kalorikulutuksen p\u00e4ivitt\u00e4inen vaihtelu 7 p\u00e4iv\u00e4n aikana vastaan Foodvisorin kiinte\u00e4 2400 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Todellinen kulutus<\/strong> mitattuna 7&nbsp;p\u00e4iv\u00e4n ajan Lean-k\u00e4ytt\u00e4j\u00e4lle. Vihre\u00e4 viiva on se, mit\u00e4 Foodvisor n\u00e4ytti (2&nbsp;400&nbsp;kcal kiinte\u00e4, staattinen kerroin \u00d7 BMR). Vaaleanpunaiset merkinn\u00e4t n\u00e4ytt\u00e4v\u00e4t, miksi jokainen p\u00e4iv\u00e4 liikkuu.<\/p>\n  <\/div>\n\n  <p>Et voi pelkist\u00e4\u00e4 aktiivisuustasoasi staattiseen ruutuun. Olet ehk\u00e4 aktiivinen viikkoina, jolloin teet v\u00e4h\u00e4n et\u00e4t\u00f6it\u00e4, ja v\u00e4h\u00e4n liikkuva niin\u00e4, jolloin et poistu toimistolta. Olet ehk\u00e4 aktiivinen kes\u00e4ll\u00e4 ja v\u00e4h\u00e4n liikkuva talvella. Olet ehk\u00e4 aktiivinen tiistaista perjantaihin ja v\u00e4h\u00e4n liikkuva viikonloppuisin.<\/p>\n  <p>Mink\u00e4 ruudun rastitat t\u00e4ll\u00e4 viikolla? Totuus on, ettei yksik\u00e4\u00e4n 5:st\u00e4 ole oikein. Ja siksi Foodvisor antaa sinulle TDEE:n, joka on systemaattisesti irrallaan todellisuudesta.<\/p>\n  <p>T\u00e4m\u00e4n artikkelin avainkohta: vaikka BMR-kaava olisi t\u00e4ydellinen, staattinen kerroin riitt\u00e4isi rikkomaan kaiken. Et voi arvioida <a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/neat-depense-non-sportive\/\">NEAT<\/a>, EAT ja <a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/effet-thermique-des-aliments\/\">TEF<\/a> yhdell\u00e4 ainoalla BMR:\u00e4\u00e4n sovelletulla kertoimella. Se on k\u00e4sitteellisesti absurdia.<\/p>\n  <p>Olet varmaan ymm\u00e4rt\u00e4nyt: <strong>BMR-kaava ilman rasvaprosenttia, plus kaiken muun staattinen likiarvo, antaa hyvin v\u00e4h\u00e4n mahdollisuuksia saavuttaa tavoitteesi 3\u20136 kuukaudessa.<\/strong> Olipa kirjaus lautaspuolella kuinka siisti tahansa.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">N\u00e4e todellinen TDEE:si jaettuna BMR + NEAT + EAT + TEF. Ilmainen lataus.<\/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=vs-foodvisor\" 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=vs-foodvisor\" 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<\/section>\n\n<section aria-labelledby=\"p3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Ongelma 3<\/span><\/div>\n  <h2 id=\"p3\">Metabolinen adaptaatio, jota ei koskaan mallinneta<\/h2>\n  <p>T\u00e4m\u00e4 on loppuvastus. Hienovaraisin k\u00e4site. Ja luultavasti t\u00e4rkein.<\/p>\n  <p>Kun olet kalorivajeessa, kehosi ymm\u00e4rt\u00e4\u00e4 saavansa v\u00e4hemm\u00e4n energiaa kuin ennen. Suojautuakseen se siirtyy s\u00e4\u00e4st\u00f6tilaan. T\u00e4sm\u00e4lleen kuten iPhonesi virrans\u00e4\u00e4st\u00f6tila: kaikki toimii edelleen, mutta v\u00e4hemm\u00e4ll\u00e4 energialla. BMR:si laskee. NEAT:isi laskee. EAT:isi laskee.<\/p>\n  <p>T\u00e4t\u00e4 kutsutaan metaboliseksi adaptaatioksi. Tieteellinen kirjallisuus on selke\u00e4 ja toistettava: M\u00fcller 2015 (PubMed 26399868, Minnesotan uudelleentarkastelu), Doucet 2001 (PubMed 11430776), Nunes 2020 (PMC7484122) 6 viikon vajeesta. T\u00e4ss\u00e4 luvut:<\/p>\n  <ul>\n    <li>Vaje &minus;250&nbsp;kcal p\u00e4iv\u00e4ss\u00e4, 2\u20138 viikon ajan: adaptaatio <strong>5\u201310&nbsp;%<\/strong> (TDEE laskee 90\u201395&nbsp;%:iin l\u00e4ht\u00f6tasosta)<\/li>\n    <li>Vaje &minus;500&nbsp;kcal p\u00e4iv\u00e4ss\u00e4: <strong>10\u201315&nbsp;%<\/strong> adaptaatio (TDEE laskee 85\u201390&nbsp;%:iin)<\/li>\n    <li>Vaje &minus;750&nbsp;kcal p\u00e4iv\u00e4ss\u00e4: <strong>15\u201325&nbsp;%<\/strong> adaptaatio (TDEE laskee 75\u201385&nbsp;%:iin)<\/li>\n  <\/ul>\n  <p>Lean-k\u00e4yt\u00e4nt\u00f6: 100&nbsp;% = optimaalinen, 90&nbsp;% = 10&nbsp;% adaptaatiota. Ja koska NEAT, EAT ja TEF riippuvat kaikki suoraan BMR:st\u00e4, l\u00e4hes koko TDEE k\u00e4rsii.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Kuva 3 &middot; 8 viikkoa vajeessa<\/span><span class=\"r\">kcal\/p\u00e4iv\u00e4<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartAdapt\" aria-label=\"TDEE, joka putoaa 2500:sta 2150 kcal:iin 8 viikossa, vastaan Foodvisorin kiinte\u00e4 2500\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Todellinen TDEE<\/strong> 8 viikon &minus;500&nbsp;kcal\/p\u00e4iv\u00e4 vajeen aikana. Vaaleanpunainen k\u00e4yr\u00e4 laskee. Foodvisor-viiva pysyy tasaisena. Viikolla 6 olet jo yll\u00e4pidossa. Muuttamatta mit\u00e4\u00e4n.<\/p>\n  <\/div>\n\n  <p>Konkreettisesti: jos olit suunnitellut 10&nbsp;%:n vajeen 2&nbsp;500:n TDEE:ll\u00e4 (eli sy\u00f6t 2&nbsp;250 p\u00e4iv\u00e4ss\u00e4), ja kehosi adaptoituu 10&nbsp;%, todellinen TDEE:si on laskenut 2&nbsp;250:een. Olet yll\u00e4pidossa. Et laihdu en\u00e4\u00e4.<\/p>\n  <p>Ansa on, ett\u00e4 se on salakavalaa. Aluksi laihdut. Olet tyytyv\u00e4inen. Jatkat. Mutta viikko viikolta adaptaatio kertyy. Ja jossain vaiheessa, muuttamatta mit\u00e4\u00e4n seurannassasi, <strong>lakkaat laihtumasta<\/strong>.<\/p>\n  <p>95&nbsp;% ihmisist\u00e4 k\u00e4y t\u00e4m\u00e4n l\u00e4pi ymm\u00e4rt\u00e4m\u00e4tt\u00e4 sit\u00e4. He syytt\u00e4v\u00e4t tahdonvoimaansa. He syytt\u00e4v\u00e4t \u00abrikkin\u00e4ist\u00e4 aineenvaihduntaansa\u00bb. He aloittavat kovempia dieettej\u00e4, mik\u00e4 pahentaa adaptaatiota. Kierre.<\/p>\n  <p>Foodvisor ei koskaan laske metabolista adaptaatiota. Se antaa sinulle kiinte\u00e4n kaloritavoitteen niin kauan kuin et p\u00e4ivit\u00e4 painoasi ja aktiivisuustasoasi manuaalisesti. Voit skannata lautasesi esimerkillisen s\u00e4\u00e4nn\u00f6llisesti, mutta kun poljet paikallaan 6 dieettiviikon j\u00e4lkeen, sovelluksella ei ole aavistustakaan miksi.<\/p>\n<\/section>\n\n<section aria-labelledby=\"solution\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Lean-ratkaisu<\/span><\/div>\n  <h2 id=\"solution\">N\u00e4in Lean ratkaisee kunkin 3 ongelmasta<\/h2>\n  <p>Foodvisor asetti standardin annoksen kuvaskannaukselle, ja sen ranskalaisen keitti\u00f6n tunnistus on yh\u00e4 erinomainen. Ongelma ei ole se, mit\u00e4 se n\u00e4kee lautasellasi, vaan se, mit\u00e4 se ei n\u00e4e kehostasi&nbsp;: kulutus arvioidaan yh\u00e4 v\u00e4est\u00f6kaavalla kerrottuna aktiivisuustasolla. Lean tekee molemmat&nbsp;: AI-kuvaskannaus <em>ja<\/em> jokaisen TDEE:n komponentin mittaus (BMR&nbsp;+&nbsp;NEAT&nbsp;+&nbsp;EAT&nbsp;+&nbsp;TEF) plus metabolinen adaptaatio. T\u00e4ss\u00e4 yksityiskohdat.<\/p>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"duo-row\">\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9 par photo\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Vaihe 1<strong>AI BodyScan<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Vaihe 2<strong>BMR laskettu uudelleen<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">BMR todellisen rasvaprosentin perusteella<\/div>\n      <h3>Patentoitu oma malli, rasvattomaan massaan perustuva<\/h3>\n      <p>Saatujen kalorien t\u00e4ydellinen laskeminen ei hy\u00f6dyt\u00e4, jos kulutetut kalorit ovat 300&nbsp;kcal v\u00e4\u00e4rin. Lean laskee aineenvaihdunnan <strong>rasvaton massa<\/strong>, ainoan, joka todella kuluttaa levossa, ei raakapainostasi.<\/p>\n      <p>&#8203; <strong>AI BodyScan<\/strong> soveltaa kehoosi sit\u00e4, mit\u00e4 Foodvisor soveltaa lautaseesi&nbsp;: kuva, DEXA-skannauspankilla koulutettu malli, rasvaprosenttisi muutamassa sekunnissa, toistettavissa joka viikko.<\/p>\n      <p>Ei ihopoimumittaria, ei impedanssivaakaa, ei DEXAa. Sama yksinkertaisuus kuin ateriaskannauksessa, sovellettuna kehonkoostumukseesi.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Ei aktiivisuuskerrointa<\/div>\n      <h3>NEAT, EAT, TEF laskettu erikseen<\/h3>\n      <p><strong>NEAT.<\/strong> Todelliset askeleesi tulevat HealthKitin (iOS) tai Google Fitin (Android) kautta ja muuttuvat kaloreiksi aineenvaihduntasi mukaan. Se on p\u00e4iv\u00e4n vaihtelevin er\u00e4, ja se, jonka ilmoitettu aktiivisuustaso latistaa t\u00e4ysin.<\/p>\n      <p><strong>EAT.<\/strong> Jokainen treeni lasketaan MET:ll\u00e4 todellisen rasitusaikasi perusteella, lepoajat pois lukien. Tunnin voimaharjoittelun laskeminen tuntina juoksua v\u00e4\u00e4rist\u00e4\u00e4 tasetta useilla sadoilla kcal:lla viikossa.<\/p>\n      <p><strong>TEF.<\/strong> Foodvisor tunnistaa ruoka-aineesi, Lean johtaa niist\u00e4 ruoansulatuksen kustannuksen&nbsp;: 20\u201330&nbsp;% kaloreista proteiineille, 5\u201310&nbsp;% hiilihydraateille, 1\u20133&nbsp;% rasvoille, kaikkialla sovelletun 10&nbsp;%:n k\u00f6ntt\u00e4summan sijaan.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-row\" style=\"margin:0;gap:10px\">\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">NEAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" alt=\"\u00c9cran EAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">EAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"\u00c9cran TEF Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">TEF<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Automaattinen metabolinen adaptaatio<\/div>\n      <h3>Maailman ensimm\u00e4inen kuluttajasovelluksessa<\/h3>\n      <p><strong>Metabolinen adaptaatio.<\/strong> Mik\u00e4\u00e4n ateriaskannaus ei havaitse, ett\u00e4 aineenvaihduntasi on hidastunut 12&nbsp;% kahdeksan viikon j\u00e4lkeen. Lean arvioi sen julkaistujen vaihteluv\u00e4lien mukaan (M\u00fcller 2015, Doucet 2001) ja korjaa tavoitteesi sen mukaisesti.<\/p>\n      <p>Yli 10\u201315&nbsp;%:n adaptaatiossa sovellus voi neuvoa paluuta yll\u00e4pitoon aineenvaihdunnan k\u00e4ynnist\u00e4miseksi uudelleen ennen jatkamista.<\/p>\n      <p>Ei valittavaa aktiivisuuskerrointa. Jokainen komponentti mitataan, viikko viikolta.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone solo\" style=\"max-width:240px!important;width:240px;padding:6px!important;border-radius:24px!important;border-width:2px!important\"><div class=\"notch\" style=\"width:60px!important;height:14px!important;border-radius:0 0 9px 9px!important\"><\/div><div class=\"scr\" style=\"border-radius:18px!important\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Menetelm\u00e4<strong>Metabolinen adaptaatio<\/strong><\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Vertailutaulukko<\/span><\/div>\n  <h2 id=\"tab\">Lean vastaan Foodvisor, kriteeri kriteerilt\u00e4<\/h2>\n  <p>Rehellinen luenta kunkin sovelluksen vahvuuksista ja heikkouksista. Mik\u00e4\u00e4n kriteeri ei koske hintaa.<\/p>\n\n  <div class=\"brand-banner\" style=\"display:grid;grid-template-columns:1fr 1fr;gap:16px;margin:24px 0 18px;padding:0\">\n  <div style=\"background:#FFF1F5;border:1.5px solid #FF2D6E;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#FF2D6E;letter-spacing:-0.2px\">Lean<\/div>\n  <\/div>\n  <div style=\"background:#EFF7EF;border:1.5px solid #6ABF6C;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/fv-logo-foodvisor.jpg\" alt=\"Foodvisor\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#6ABF6C;letter-spacing:-0.2px\">Foodvisor<\/div>\n  <\/div>\n<\/div>\n<div class=\"table\" role=\"table\" aria-label=\"Lean vastaan Foodvisor -vertailu\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Kriteeri<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Lean<\/span><\/div>\n      <div class=\"brand-cell\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/fv-logo-foodvisor.jpg\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Foodvisor<\/span><\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">BMR-kaava<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Patentoitu oma malli (rasvaton massa)<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> V\u00e4est\u00f6kaava (Mifflin-St Jeor 1990)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Ottaa huomioon rasvaprosentin<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Kyll\u00e4, mitattu sovelluksessa<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ei, vain paino-pituus-ik\u00e4-sukupuoli<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Rasvaprosentin mittaus sovelluksessa<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> AI BodyScan kuvasta<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ei<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (askeleet, aktiviteetti urheilun ulkopuolella)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Laskettu todellisista askelista joka p\u00e4iv\u00e4<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Ei seurata, tavoite perustuu staattiseen kertoimeen<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (liikuntakulutus)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Lajeittain MET:n avulla, todellinen aika<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Tallennetut treenit, lis\u00e4tty j\u00e4\u00e4dytettyyn tavoitteeseen<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (ruoansulatus)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Laskettu makrojen mukaan, sis\u00e4llytetty TDEE:hen<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ei sis\u00e4llytetty kulutuksen laskentaan<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Metabolinen adaptaatio<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Automaattinen, viikko viikolta<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ei<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Valittava aktiivisuuskerroin<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ei, laskettu todellisesta datasta<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Kyll\u00e4, rekister\u00f6ityess\u00e4 valittu staattinen kerroin<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Annoksen AI-kuvaskannaus<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Kyll\u00e4, rajaton<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Kyll\u00e4, historiallinen edell\u00e4k\u00e4vij\u00e4 (2018)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Ruoka-aineiden visuaalinen tunnistus<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Kyll\u00e4, moderni AI-kuvaskannaus<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> FR-markkinoiden referenssi, vuosien koulutus<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Viivakoodiskannaus<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Kyll\u00e4<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Kyll\u00e4<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Elintarviketietokanta<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> USDA + OpenFoodFacts, kuratoitu<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Laaja tietokanta, ranskalaiset tuotteet hyvin katettu<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Ravitsemusterapeuttien valmennus<\/div>\n      <div class=\"cell lean\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ei kuulu, sovellus ohjaa Edistymispyramidin kautta<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Kyll\u00e4, laillistetut ravitsemusterapeutit (erillinen tarjous)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Kalorivajesuositus<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Mukautettu todelliseen TDEE:hen<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Kiinte\u00e4 tavoite, manuaalinen uudelleenlaskenta vaaditaan<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Ranskalainen sovellus<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Kyll\u00e4<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Kyll\u00e4, syntynyt Pariisissa<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Maine ja yleis\u00f6n koko<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4.7\/5, 10&nbsp;000+ k\u00e4ytt\u00e4j\u00e4\u00e4, nuori ranskalainen sovellus<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Kuvaskannauksen tunnustettu edell\u00e4k\u00e4vij\u00e4, vahva tunnettuus Ranskassa<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Liiketoimintamalli<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Premium, 7 p\u00e4iv\u00e4n ilmainen kokeilu vuositilauksessa<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ilmainen versio, valmennus valinnaisena<\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tracking\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Seuranta<\/span><\/div>\n  <h2 id=\"tracking\">3 tapaa kirjata ateria<\/h2>\n  <p>Foodvisor todisti, ett\u00e4 kuva voi korvata manuaalisen sy\u00f6t\u00f6n. Lean ottaa t\u00e4m\u00e4n idean ja laajentaa sit\u00e4&nbsp;: kolme kirjaustapaa tilanteen mukaan, jotta pysyt mukana pitk\u00e4ll\u00e4 aikav\u00e4lill\u00e4.<\/p>\n\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-database.webp\" alt=\"Recherche dans la base de donn\u00e9es USDA + OpenFoodFacts\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Menetelm\u00e4 1<strong>Tietokanta<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-codebarre.webp\" alt=\"Scan de code-barres dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Menetelm\u00e4 2<strong>Viivakoodi<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-scania.webp\" alt=\"Scan photo IA d'un plat\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Menetelm\u00e4 3<strong>AI-kuvaskannaus<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>Haku tietokannasta.<\/strong> Kuratoitu tietokanta, USDA + OpenFoodFacts. Ei yhteis\u00f6kohinaa, ei \u00abPaahdettu kana\u00bb sy\u00f6tettyn\u00e4 47 kertaa 47 eri k\u00e4ytt\u00e4j\u00e4n toimesta 47 eri arvolla.<\/li>\n    <li><strong>Viivakoodiskannaus.<\/strong> Perus. Skannaat pastapakkauksesi, saat makrot.<\/li>\n    <li><strong>Annoksen AI-kuvaskannaus.<\/strong> Otat kuvan lautasestasi, teko\u00e4ly tunnistaa ruoka-aineet, saat kalorit ja makrot ruoka-aineittain. Refleksi, joka sinulla jo on, jos tulet Foodvisorista: pid\u00e4t sen sellaisenaan.<\/li>\n  <\/ol>\n  <p>Leanin AI-kuvaskannauksella on sama rooli kuin Foodvisorin ulkona sy\u00f6dyille aterioille. Ero on muualla&nbsp;: siin\u00e4, mit\u00e4 Lean tekee n\u00e4ill\u00e4 kaloreilla sen j\u00e4lkeen, vertaamalla niit\u00e4 mitattuun eik\u00e4 arvioituun kulutukseen.<\/p>\n  <p>Aterian lis\u00e4ksi Lean n\u00e4ytt\u00e4\u00e4 TDEE:n, joka p\u00e4ivittyy p\u00e4iv\u00e4n aikana askeltesi mukaan. Lautasen t\u00e4ydellinen skannaus j\u00e4\u00e4dytetty\u00e4 kaloritavoitetta vastaan ei riit\u00e4.<\/p>\n  <p>Ja yl\u00e4puolella, Edistymispyramidi&nbsp;:<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Leanin Edistymispyramidi\">\n    <div class=\"level l1\"><span>Sitoutuminen<\/span><span class=\"k\">Perusta<\/span><\/div>\n    <div class=\"level l2\"><span>Kaloritavoite<\/span><span class=\"k\">Taso 2<\/span><\/div>\n    <div class=\"level l3\"><span>Askeleet \/ NEAT<\/span><span class=\"k\">Taso 3<\/span><\/div>\n    <div class=\"level l4\"><span>Makroravinteet<\/span><span class=\"k\">Huippu<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">\u00c4l\u00e4 hypp\u00e4\u00e4 vaiheiden yli. Jos et ole s\u00e4\u00e4nn\u00f6llinen seurannassa, makrojen optimoinnista prosentin tarkkuudella ei ole hy\u00f6ty\u00e4.<\/div>\n<\/section>\n\n<section aria-labelledby=\"foodvisor-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; Rehellisyys<\/span><\/div>\n  <h2 id=\"foodvisor-better\">Mit\u00e4 Foodvisor tekee paremmin<\/h2>\n  <p>Lean ei ole t\u00e4ydellinen, ja Foodvisorilla on useita todellisia vahvuuksia, jotka on tunnustettava. Rehellinen luenta, kriteeri kriteerilt\u00e4, akseleilla, joilla edell\u00e4k\u00e4vij\u00e4 on yh\u00e4 edell\u00e4. Yksik\u00e4\u00e4n n\u00e4ist\u00e4 akseleista ei ole toissijainen: ne ovat Foodvisorin lupauksen todellisia pilareita.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Tuloskortti Foodvisor vastaan Lean 4 akselilla\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">Akseli<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/fv-logo-foodvisor.jpg\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Foodvisor<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Lean<\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Lautasen visuaalinen tunnistus<\/div>\n      <div class=\"bar mfp\" data-brand=\"FOODVISOR\"><div class=\"b\"><i style=\"width:95%\"><\/i><\/div><div class=\"v\">9,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:80%\"><\/i><\/div><div class=\"v\">8,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Annosten automaattinen arviointi<\/div>\n      <div class=\"bar mfp\" data-brand=\"FOODVISOR\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:75%\"><\/i><\/div><div class=\"v\">7,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Inhimillinen valmennus (laillistetut ravitsemusterapeutit)<\/div>\n      <div class=\"bar mfp\" data-brand=\"FOODVISOR\"><div class=\"b\"><i style=\"width:92%\"><\/i><\/div><div class=\"v\">9,2<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:25%\"><\/i><\/div><div class=\"v\">2,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Kuvaskannauksen etumatka (FR-markkinat)<\/div>\n      <div class=\"bar mfp\" data-brand=\"FOODVISOR\"><div class=\"b\"><i style=\"width:95%\"><\/i><\/div><div class=\"v\">9,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:40%\"><\/i><\/div><div class=\"v\">4,0<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Rehellinen luenta.<\/strong> Lautasentunnistuksessa Foodvisor loi kategorian Ranskassa 2018 ja sen teko\u00e4lyll\u00e4 on vuosien koulutuksen etumatka: ruoka-aineiden tunnistus, annosten arviointi ilman vaakaa, koottujen annosten k\u00e4sittely. Se on sen historiallinen kotikentt\u00e4 ja se on siell\u00e4 yh\u00e4 referenssi. Inhimillisess\u00e4 tuessa Foodvisor tarjoaa laillistettujen ravitsemusterapeuttien seurantaa suoraan sovelluksessa: Lean ei tarjoa sit\u00e4 eik\u00e4 v\u00e4it\u00e4 korvaavansa sit\u00e4. Leanin AI-kuvaskannaus on moderni, rajaton ja t\u00e4ysin riitt\u00e4v\u00e4 p\u00e4ivitt\u00e4iseen k\u00e4ytt\u00f6\u00f6n, mutta Lean ei vaadi etumatkaa t\u00e4ll\u00e4 kent\u00e4ll\u00e4.<\/p>\n  <p>Jos p\u00e4\u00e4kulmasi on mahdollisimman hiottu lautasentunnistus tai sovellukseen integroitu inhimillinen valmennus, Foodvisor on Leania relevantimpi. Jos kulmasi on <a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/tdee-calculator\/\">TDEE-laskenta<\/a>, joka viikko AI BodyScanilla mitattu rasvaprosentti ja automaattinen metabolinen adaptaatio, se on juuri se, mik\u00e4 on osoitettu 3 edellisess\u00e4 osiossa. Jotkut py\u00f6ritt\u00e4v\u00e4t molempia sovelluksia rinnakkain valintaa tehdess\u00e4\u00e4n, ja se on t\u00e4ysin puolustettavissa.<\/p>\n<\/section>\n\n<section aria-labelledby=\"forwho\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; Kenelle<\/span><\/div>\n  <h2 id=\"forwho\">Kenelle Lean on tehty<\/h2>\n  <p>4 profiilia. Jos tunnistat itsesi v\u00e4hint\u00e4\u00e4n yhdest\u00e4, Lean on luultavasti tehty sinulle.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Olet k\u00e4ytt\u00e4nyt Foodvisoria vakavasti etk\u00e4 ole laihtunut<\/h4>\n        <p>Olet skannannut lautasesi, korjannut annokset, noudattanut rehellist\u00e4 vajetta viikkoja, ja poljet paikallaan. Kuva ei ole syyllinen, vaan ilman rasvaprosenttia laskettu j\u00e4\u00e4dytetty tavoite. Lean korjaa juurisyyn todelliseen rasvaprosenttiin perustuvalla BMR:ll\u00e4.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Poljet paikallaan useiden dieettiviikkojen j\u00e4lkeen<\/h4>\n        <p>Tasanne, joka venyy 4\u20138 viikon j\u00e4lkeen. Se on metabolinen adaptaatio. Lean laskee sen automaattisesti ja s\u00e4\u00e4t\u00e4\u00e4 tavoitteesi joka viikko.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Haluat ymm\u00e4rt\u00e4\u00e4 aineenvaihduntaasi<\/h4>\n        <p>Lean n\u00e4ytt\u00e4\u00e4 jokaisen komponentin (BMR, NEAT, EAT, TEF) ja selitt\u00e4\u00e4 sitten adaptaation erikseen sen sijaan, ett\u00e4 piilottaisi kaiken yhden luvun taakse. N\u00e4et, mist\u00e4 jokainen kulutettu kcal tulee.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Haluat seurannan, joka kest\u00e4\u00e4 12 kuukautta<\/h4>\n        <p>AI-kuvaskannaus + kuratoitu tietokanta + viivakoodi kattavat kaikki k\u00e4ytt\u00f6tavat, raaka-aineesta ravintolan pizzaan. Se tekee eron sinnittelyn ja luovuttamisen v\u00e4lill\u00e4.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Foodvisor on yh\u00e4 relevantimpi<\/strong>&nbsp;: laillistettujen ravitsemusterapeuttien inhimilliseen valmennukseen suoraan sovelluksessa ja Ranskan markkinoiden hiotuimpaan lautasentunnistukseen. Kulutuksen laskennan tarkkuus ja metabolinen adaptaatio eiv\u00e4t vain kuulu sen p\u00e4\u00e4lupaukseen.<\/p>\n<\/section>\n\n<section aria-labelledby=\"migrate\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Siirtyminen<\/span><\/div>\n  <h2 id=\"migrate\">Siirry Foodvisorista Leaniin (tai k\u00e4yt\u00e4 molempia) 3 minuutissa<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Lataa Lean<\/h4><p>App Store tai Play Store. Rekister\u00f6ityminen 30 sekunnissa.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>AI BodyScan<\/h4><p>Yksi kuva, 5 sekuntia. Saat rasvaprosenttisi.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Paino &amp; pituus<\/h4><p>Sy\u00f6t\u00e4t painosi ja pituutesi. Siin\u00e4 kaikki.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean laskee<\/h4><p>BMR todellisen rasvaprosentin perusteella, NEAT HealthKitin \/ Google Fitin kautta (todelliset askeleet), EAT MET:n mukaan, TEF makroista, plus metabolinen adaptaatio, joka moduloi BMR:\u00e4\u00e4. Automaattisesti.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Kirjaa ateria<\/h4><p>Kuva, viivakoodi tai tietokanta. Tunnet jo liikkeen.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>T\u00e4rke\u00e4 huomautus.<\/strong> Lean ei tuo Foodvisor-historiaasi automaattisesti, eik\u00e4 suosikkiruokiasi. Jos seurantasi Foodvisor-ravitsemusterapeutin kanssa on sinulle t\u00e4rke\u00e4, mik\u00e4\u00e4n ei est\u00e4 sinua pit\u00e4m\u00e4st\u00e4 molempia siirtym\u00e4n ajan: Foodvisor inhimilliseen tukeen, Lean TDEE:hen ja p\u00e4ivitt\u00e4iseen seurantaan. HealthKit \/ Google Health Connect -synkronointi taas ottaa heti hoitaakseen askeleesi ja aktiivisuushistoriasi.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Lataa Lean ja aloita AI BodyScan heti. Ilmainen rekister\u00f6ityminen.<\/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=vs-foodvisor\" 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=vs-foodvisor\" 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<\/section>\n\n<section aria-labelledby=\"deblock-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; Mit\u00e4 Lean avaa<\/span><\/div>\n  <h2 id=\"deblock-h\">Mit\u00e4 Lean tekee, ja mit\u00e4 Foodvisor ei tee (kulutuksessa)<\/h2>\n  <p>Kuusi kulutukseen keskittyv\u00e4\u00e4 ominaisuutta, joita ei l\u00f6ydy Foodvisorista. Ne kaikki juontuvat samasta periaatteesta&nbsp;: laske jokainen TDEE:n komponentti tarkasti, \u00e4l\u00e4 arvioi sit\u00e4.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Rajaton AI BodyScan<\/div><p class=\"fd\">Todellinen rasvaprosenttisi, mitattuna yhdest\u00e4 kuvasta, toistettuna joka viikko. Se on tieto, joka muuttaa koko BMR-laskennan. Mik\u00e4\u00e4n muu kuluttajasovellus ei tarjoa sit\u00e4.<\/p><\/div><div class=\"fc\">Rasvaprosentti<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Automaattinen metabolinen adaptaatio<\/div><p class=\"fd\">TDEE:si s\u00e4\u00e4tyy viikko viikolta tieteellisesti vahvistettujen lukujen mukaan. V\u00e4lt\u00e4t tasanteet, joita kukaan ei osaa selitt\u00e4\u00e4.<\/p><\/div><div class=\"fc\">Adaptaatio<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Live-jaoteltu TDEE<\/div><p class=\"fd\">BMR + NEAT + EAT + TEF n\u00e4ytettyn\u00e4 kukin erikseen, p\u00e4ivitettyn\u00e4 p\u00e4iv\u00e4n aikana. Ei en\u00e4\u00e4 klo 8 aamulla j\u00e4\u00e4dytetty\u00e4 lukua. N\u00e4et kaloritasapainosi suorana.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">NEAT todellisista askelista, ilman kerrointa<\/div><p class=\"fd\">Puhelimesi mittaamat askeleesi sy\u00f6tt\u00e4v\u00e4t suoraan TDEE:n laskentaa joka p\u00e4iv\u00e4. Ei koskaan v\u00e4h\u00e4n liikkuva- tai aktiivinen-ruutua rastitettavaksi.<\/p><\/div><div class=\"fc\">NEAT<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">TEF laskettu makroistasi<\/div><p class=\"fd\">Ruoansulatus ei ole 10&nbsp;%:n k\u00f6ntt\u00e4summa. Proteiinit 20\u201330&nbsp;%, hiilihydraatit 5\u201310&nbsp;%, rasvat 1\u20133&nbsp;%. Lean tekee laskennan jokaisella aterialla ja sis\u00e4llytt\u00e4\u00e4 sen TDEE:hen.<\/p><\/div><div class=\"fc\">TEF<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">T\u00e4ydellinen historia ja trendit<\/div><p class=\"fd\">Seuraa paino-, rasvaprosentti- ja rasvaton massa -trendej\u00e4si kuukausien ajan. Ymm\u00e4rr\u00e4 syklisi. Tunnista vaiheet, joissa edistyt, ja ne, joissa polket paikallaan.<\/p><\/div><div class=\"fc\">Historia<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Asennat sovelluksen ilmaiseksi, testaat ilman sitoumusta ja p\u00e4\u00e4t\u00e4t sitten, sopiiko ty\u00f6kalu tavoitteeseesi.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; UKK<\/span><\/div>\n  <h2 id=\"faq-h\">Usein kysytyt kysymykset<\/h2>\n  <div class=\"faq\">\n    <details><summary>Foodvisor keksi aterioiden kuvaskannauksen, miksi verrata sit\u00e4 Leaniin&nbsp;?<\/summary><div class=\"ans\">Koska trackerin lupaus ei p\u00e4\u00e4ty lautaseen. Foodvisor on kuvantunnistuksen historiallinen referenssi Ranskassa, mutta sen kaloritavoite perustuu v\u00e4est\u00f6kaavaan (Mifflin-St Jeor 1990, ilman mitattua rasvaprosenttia) ja rekister\u00f6ityess\u00e4 valittuun staattiseen aktiivisuuskertoimeen. Ne ovat saman ongelman kaksi puolta&nbsp;: Foodvisor loistaa siin\u00e4, mik\u00e4 tulee sis\u00e4\u00e4n, Lean siin\u00e4, mik\u00e4 kulutetaan.<\/div><\/details>\n    <details><summary>Miksi Foodvisor ei laske BMR:\u00e4\u00e4 todellisen rasvaprosentin perusteella&nbsp;?<\/summary><div class=\"ans\">Koska sovelluksessa ei ole rasvaprosentin mittausta, ja v\u00e4est\u00f6kaavat k\u00e4ytt\u00e4v\u00e4t vain painoa, pituutta, ik\u00e4\u00e4 ja sukupuolta. Lean sis\u00e4lt\u00e4\u00e4 AI BodyScanin rasvaprosenttisi mittaamiseksi yhdest\u00e4 kuvasta, toistettavissa joka viikko, mik\u00e4 mahdollistaa todelliseen rasvattomaan massaan perustuvan BMR:n patentoidulla omalla mallilla.<\/div><\/details>\n    <details><summary>Onko Leanin kuvaskannaus Foodvisorin veroinen&nbsp;?<\/summary><div class=\"ans\">Foodvisorilla on etumatka ja vuosien koulutus lautasentunnistuksessa, erityisesti annosten arvioinnissa. Leanin AI-kuvaskannaus tunnistaa ruoka-aineet, kalorit ja makrot vertailukelpoisella tarkkuudella p\u00e4ivitt\u00e4iseen k\u00e4ytt\u00f6\u00f6n, ja se on rajaton. T\u00e4ll\u00e4 kriteerill\u00e4 molemmat tekev\u00e4t ty\u00f6ns\u00e4. Todellinen ero sovellusten v\u00e4lill\u00e4 ratkaistaan kulutuksen laskennassa.<\/div><\/details>\n    <details><summary>Foodvisor laskee askeleeni, riitt\u00e4\u00e4k\u00f6 se NEAT:iin&nbsp;?<\/summary><div class=\"ans\">Askelten laskeminen ja niiden sis\u00e4llytt\u00e4minen laskentaan ovat kaksi eri asiaa. Foodvisorissa kaloritavoite perustuu yh\u00e4 rekister\u00f6ityess\u00e4 valittuun staattiseen aktiivisuuskertoimeen. Lean laskee NEAT:n suoraan joka p\u00e4iv\u00e4 mitatuista todellisista askelista, ilman valittavaa kerrointa, ja erottaa sen kunnolla liikuntakulutuksesta (EAT).<\/div><\/details>\n    <details><summary>Onko Lean ilmainen vai maksullinen&nbsp;?<\/summary><div class=\"ans\">Lean on Premium, 7 p\u00e4iv\u00e4n ilmaisella kokeilulla vuositilauksessa. Lataat, testaat AI BodyScanin, annoksen AI-kuvaskannauksen, TDEE:n uudelleenrakentamisen, ilman sitoumusta. Jos ty\u00f6kalu sopii tavoitteeseesi, jatkat. Muuten poistat uusinnan k\u00e4yt\u00f6st\u00e4 ennen kokeilujakson p\u00e4\u00e4ttymist\u00e4.<\/div><\/details>\n    <details><summary>Voiko Leania ja Foodvisoria k\u00e4ytt\u00e4\u00e4 rinnakkain&nbsp;?<\/summary><div class=\"ans\">Kyll\u00e4, erityisesti siirtym\u00e4ss\u00e4. Jotkut pit\u00e4v\u00e4t Foodvisorin ravitsemusterapeutin valmennukseen ja k\u00e4ytt\u00e4v\u00e4t Leania p\u00e4ivitt\u00e4in TDEE:hen, kehonkoostumuksen muutokseen ja seurantaan. Kaksinkertaisen sy\u00f6t\u00f6n vaiva on todellinen&nbsp;: lopulta useimmat valitsevat sovelluksen, joka ohjaa heid\u00e4n kaloritavoitettaan, ja se on juuri se kentt\u00e4, jolla Lean on rakennettu olemaan tarkin.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"conclu\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">12 &middot; Johtop\u00e4\u00e4t\u00f6s<\/span><\/div>\n  <h2 id=\"conclu\">Lautanen on hoidettu. Kulutus ei.<\/h2>\n  <p>Kyse ei ole Foodvisor vastaan Lean markkinoinnissa. Kyse on saannista vastaan kulutus, saman yht\u00e4l\u00f6n kaksi puolta.<\/p>\n  <p>Foodvisor ratkaisi vasemman puoliskon&nbsp;: tiet\u00e4\u00e4, mit\u00e4 sy\u00f6t, ilman vaakaa, Ranskan markkinoiden hiotuimman kuvaskannauksen ansiosta. Mutta oikeaa puoliskoa, kulutustasi, varten Foodvisor nojaa vuoden 1990 v\u00e4est\u00f6kaavaan ilman mitattua rasvaprosenttia, j\u00e4\u00e4dytettyyn aktiivisuuskertoimeen, jonka rastitat kerran rekister\u00f6ityess\u00e4si, eik\u00e4 metaboliseen adaptaatioon. N\u00e4iden kolmen yhdistelm\u00e4 tekee tarkan kaloriseurannan mahdottomaksi muutaman dieettiviikon j\u00e4lkeen. Se on matematiikkaa.<\/p>\n  <p>Lean on rakennettu t\u00e4t\u00e4 puoliskoa varten&nbsp;: BMR perustuen <a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/depense-energetique-totale-v2\/\">todellisesta rasvaprosentistasi<\/a> (mitattu AI BodyScanilla) patentoidulla omalla mallilla, <a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/neat-depense-non-sportive\/\">NEAT todellisista askelista<\/a>, EAT lajeittain ja MET:n avulla, <a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/effet-thermique-des-aliments\/\">TEF makroista<\/a>, plus metabolinen adaptaatio, joka moduloi BMR:\u00e4\u00e4 viikko viikolta. Jokainen komponentti laskettuna tarkasti, ilman taikakerrointa. Ja kuvarefleksin, jonka opit Foodvisorissa, pid\u00e4t&nbsp;: AI-kuvaskannaus on sis\u00e4\u00e4nrakennettu, rajattomasti.<\/p>\n  <p>Jos olet kokeillut Foodvisoria vakavasti etk\u00e4 saanut toivomiasi tuloksia dieetiss\u00e4si, ongelma et ole sin\u00e4, eik\u00e4 kuva. Ongelma on j\u00e4\u00e4dytetty TDEE konepellin alla. Vaihda moottori, s\u00e4ilyt\u00e4 refleksi.<\/p>\n<\/section>\n\n<div class=\"get-band rev\" style=\"background:#F1E9DC;border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center\">\n  <div class=\"kicker\">Lataus<\/div>\n  <h3>Lean on ladattavissa ilmaiseksi<\/h3>\n  <p>iOS ja Android. AI BodyScan toimii yhdell\u00e4 kuvalla. Ei ihopoimumittaria, ei impedanssivaakaa, ei DEXAa.<\/p>\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=vs-foodvisor\" target=\"_blank\" rel=\"noopener\" aria-label=\"Lataa Lean App Storesta\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\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=vs-foodvisor\" target=\"_blank\" rel=\"noopener\" aria-label=\"Lataa Lean Google Playsta\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Lue lis\u00e4\u00e4<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Sis\u00e4inen linkitys<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/tdee-calculator\/\">Ilmainen TDEE-laskuri verkossa<\/a> &middot; verkkoversio, ilman rekister\u00f6itymist\u00e4, sama logiikka kuin sovelluksessa (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/depense-energetique-totale-v2\/\">Ymm\u00e4rr\u00e4 TDEE yksityiskohtaisesti (BMR, NEAT, EAT, TEF, adaptaatio)<\/a> &middot; syv\u00e4llinen tieteellinen artikkeli.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/comment-compter-ses-calories\/\">Miten laskea kalorinsa oikein<\/a> &middot; k\u00e4yt\u00e4nn\u00f6n opas aloittelijoille.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/neat-depense-non-sportive\/\">NEAT&nbsp;: kulutus askelista ja aktiivisuudesta urheilun ulkopuolella<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/fi\/effet-thermique-des-aliments\/\">TEF&nbsp;: ruoansulatus polttaa kaloreita<\/a>.<\/li>\n  <\/ul>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">L\u00e4hteet<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Kirjallisuus<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Mifflin M.D., St Jeor S.T. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" target=\"_blank\" rel=\"noopener\">PubMed 2305711<\/a>.<\/li>\n    <li>Frankenfield D.C. (2013). Bias and accuracy of resting metabolic rate equations in non-obese and obese adults. Clinical Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23631843\/\" target=\"_blank\" rel=\"noopener\">PubMed 23631843<\/a>.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition &amp; Metabolism. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15507147\/\" target=\"_blank\" rel=\"noopener\">PubMed 15507147<\/a>.<\/li>\n    <li>M\u00fcller M.J. et al. (2015). Metabolic adaptation to caloric restriction and subsequent refeeding: the Minnesota Starvation Experiment revisited. American Journal of Clinical Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/26399868\/\" target=\"_blank\" rel=\"noopener\">PubMed 26399868<\/a>.<\/li>\n    <li>Doucet E. et al. (2001). Evidence for the existence of adaptive thermogenesis during weight loss. British Journal of Nutrition. <a class=\"inline\" href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/11430776\/\" target=\"_blank\" rel=\"noopener\">PubMed 11430776<\/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>Artikkeli julkaistu 15.8.2026. P\u00e4ivitet\u00e4\u00e4n s\u00e4\u00e4nn\u00f6llisesti k\u00e4ytt\u00e4j\u00e4palautteella ja uusilla relevanteilla tutkimuksilla. Lean on saatavilla iOS:lle ja Androidille.<\/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=vs-foodvisor\" 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=vs-foodvisor\" 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\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:    {drill:false},\n    kcal:     {drill:false},\n    depense:  {drill:true},\n    strategie:{drill:false}\n  };\n  var subMap = {BMR:1, NEAT:1, EAT:1, TEF:1};\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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setTimeout(tryApply, 300);\n  }\n  tryApply();\n})();\n<\/script>\n\n\n\n<!-- lean-mesh-v19 -->\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;\">Lue my\u00f6s<\/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\/fi\/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;\">Perusaineenvaihdunta (BMR): kaikki, mit\u00e4 sinun tulee tiet\u00e4\u00e4 sen laskemiseksi <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">M\u00e4\u00e4ritelm\u00e4, TDEE-yht\u00e4l\u00f6, 4 historiallista kaavaa, miksi rasvaprosentti muuttaa kaiken.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/fi\/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;\">Kokonaisenergiankulutus (TDEE): kanoninen kaava BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Ymm\u00e4rr\u00e4 4 rakennuspalikkaa + metabolinen adaptaatio, tieteelliset l\u00e4hteet 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/fi\/comparatifs-croises\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">MyFitnessPal vai Yazio? 12 kalorisovellusten kaksintaistelua vertailtuna <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Jokaisen kaksintaistelun tuomio yhdell\u00e4 silm\u00e4yksell\u00e4&nbsp;: kuka voittaa miss\u00e4, ja mit\u00e4 kumpikaan ei laske.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/fi\/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;\">Parhaat sovellukset kalorien laskemiseen vuonna 2026: 8 testattua sovellusta <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\/fi\/alternative-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Mik\u00e4 vaihtoehto MyFitnessPalille vuonna 2026? 5 testattua sovellusta <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Rehellinen vertailu, TDEE-tarkkuus, ergonomia.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/fi\/comparatifs\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Kaikki Lean-vertailut suuria kalorisovelluksia vastaan <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=\"https:\/\/lean-app.com\/fi\/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 vastaan MyFitnessPal: TDEE-kaava, joka muuttaa kaiken <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Miksi MFP erehtyy todellisesta kalorikulutuksestasi.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/fi\/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;\">TDEE-laskuri: kanoninen kaava BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Rasvaprosenttitietoinen laskuri 4 metabolisen rakennuspalikan erittelyll\u00e4.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Lean vs Foodvisor Comparatif &middot; Nutrition &amp; TDEE Lean vs Foodvisor. Le pionnier du scan photo face au seul qui recompose ton TDEE en continu. Foodvisor voit ton assiette. Lean voit ta d\u00e9pense r\u00e9elle. Deux IA, deux moiti\u00e9s du probl\u00e8me. L&rsquo;\u00e9quipe Lean &middot; Lecture 12&nbsp;min &middot; Mis \u00e0 jour 15 [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1763,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1760","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comparateurs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Lean vs Foodvisor: AI-kuvaskannaus vastaan todellinen kulutuksesi<\/title>\n<meta name=\"description\" content=\"Foodvisor keksi aterioiden kuvaskannauksen. Mutta kulutuksesi on siell\u00e4 yh\u00e4 vuoden 1990 kaava ilman rasvaprosenttia. Lean rakentaa TDEE:si uudelleen joka p\u00e4iv\u00e4. Rehellinen vertailu.\" \/>\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\/fi\/lean-vs-foodvisor\/\" \/>\n<meta property=\"og:locale\" content=\"fi_FI\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lean vs Foodvisor: AI-kuvaskannaus vastaan todellinen kulutuksesi\" \/>\n<meta property=\"og:description\" content=\"Foodvisor keksi aterioiden kuvaskannauksen. Mutta kulutuksesi on siell\u00e4 yh\u00e4 vuoden 1990 kaava ilman rasvaprosenttia. Lean rakentaa TDEE:si uudelleen joka p\u00e4iv\u00e4. 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