Best calorie tracking apps in 2026. The honest comparison, 8 apps scored on 6 weighted criteria.
MyFitnessPal is no longer the default choice. Lean, Cronometer, MFP, Foodvisor, Yazio, FatSecret, Lifesum, Noom: transparent multi-criteria scoring, public methodology, verdict by use case. Lean comes out #1 on TDEE accuracy. Why.
We tested 8 apps for 6 weeks on the same profiles (cutting, recomp, maintenance), scored each on 6 weighted criteria (TDEE accuracy 30%, logging methods 20%, food database 15%, sport/cutting 15%, micronutrients 10%, simplicity 10%) and ranked by use case. Methodology details further down. Tier list video by The Lean Team below (100k views on YouTube).
- Lean · 9.1/10 : the only app that calculates BMR on real body fat (patented proprietary model) and models metabolic adaptation. #1 for cutting.
- Cronometer · 7.25/10 : micronutrient reference, clean USDA database, 80+ vitamins/minerals tracked. #1 for micros.
- MyFitnessPal · 6.4/10 : largest food database (14M foods), barcode scanner now paid. #1 for database.
- Foodvisor · 5.95/10 : French AI scanning of a plate from photo, solid local alternative. #1 for AI scanning alone.
- Yazio · 5.7/10 : clean German UX, recipes, usable free version. #1 for simplicity.
- FatSecret · 5.65/10 : 100% free with barcode scanner, aging interface. #1 for free.
- Lifesum · 5.45/10 : premium Swedish UX, meal plans, fully paid. #1 for design.
- Noom · 4.4/10 : psycho-behavioral coaching, low calorie accuracy. #1 for guidance.
Why MyFitnessPal is no longer the reference in 2026
For 12 years, MyFitnessPal was the default answer to "which app should I use to count my calories?". That era is over. Three shifts fragmented the market between 2023 and 2026.
This comparison gives you that best choice, by use case, with the methodology public. For concrete migration from MFP, we also have a hub dedicated to MyFitnessPal alternatives.
Methodology: 6 weighted criteria, transparent scoring
Before scoring, we align on the criteria and their weights. The weighting is publicly owned: this comparison values the scientific accuracy of TDEE calculation (30%), because that determines whether you reach your body composition goal. Other weightings are defensible (UX-first, free-first) and would produce a different ranking. Ours is public, you can challenge it.
Does the app compute BMR + NEAT + EAT + TEF, with or without body fat, under which formula (Harris-Benedict 1919, Mifflin-St Jeor 1990, Cunningham 1980, Katch-McArdle)? Does it model metabolic adaptation in prolonged deficit?
How many ways to log a meal: barcode scan, AI photo scan, database search, manual entry, recipes. The more the app covers, the less you quit at day 10.
Number of foods listed, accuracy on local brands, openness to contributions, moderation. A large poorly-moderated crowdsourced database is sometimes worth less than a small curated one.
Does the app handle a cutting or recomposition goal with smart weekly adjustment? Workout tracking, real METs, HealthKit/Google Fit integration for steps.
Vitamins, minerals, omega 3/6 ratios, amino acids tracked. Secondary for 80% of users but critical for "data nerd" profiles and specific diets.
How many taps to log a meal? Clear onboarding, visual hierarchy, load speed, presence or absence of ads. The criterion that decides retention.
Your video tier list that The Lean Team published earlier on YouTube applies a different weighting, focused on mainstream usage (logging + simplicity prioritized). The ranking may therefore differ slightly from this written guide, which prioritizes TDEE accuracy for cutting/recomp profiles. Both are consistent: same raw scores, different acknowledged weighting.
The detailed scoring table: 8 apps × 6 criteria
Lecture : notes sur 10 par cellule, pondérées selon la grille publiée plus haut. Total final sur 10 par app. Lean ressort #1 grâce à 10/10 sur le critère « précision TDEE » (le seul à intégrer bodyfat réel + adaptation métabolique). Cronometer #2 grâce au 10/10 sur les micronutriments. MFP #3 grâce à sa base de données dominante.
Lean
Cronometer
MyFitnessPal
Foodvisor
Yazio
FatSecret
Lifesum
Noom
Which TDEE formula does each app actually use?
This is the question nobody asks, and it changes everything. The formula under the hood determines BMR accuracy. All apps on this list except one use statistical formulas from 1919 to 1990, calibrated on populations that have nothing to do with a cutting athlete in 2026. Only one (Lean) uses a patented proprietary model that integrates real measured body fat and metabolic adaptation.
Lean
Cronometer
MyFitnessPal
Foodvisor
Yazio
FatSecret
Lifesum
Noom
Why body fat changes everything : for two 80 kg men, one at 12% body fat and the other at 28%, lean mass differs by 13 kg. BMR differs by about 400 kcal/day. Formulas from 1919 to 1990 ignore this parameter. That is why MyFitnessPal and most of its competitors give the same calorie target to two radically different body profiles.
The 8 apps in detail (alphabetical order)
For each app: overall score, 3-line verdict, real strengths, honest weaknesses, target user profile, and link to the dedicated 1-vs-1 Lean comparison when it exists. Order is alphabetical to avoid suggesting an implicit ranking: the ranking lives in the scoring table above and in the use cases below.
Cronometer · the micronutrient data nerd
Verdict. Cronometer is the absolute reference for anyone who wants lab-grade nutrition tracking. Official USDA database, 82 micronutrients, sensor integrations. On TDEE calculation, it stays on Mifflin-St Jeor 1990 with no adaptation modeling. Excellent for micros, oversized for anyone who just wants to lose fat.
Strengths. USDA database, quality superior to all crowdsourced ones. Tracking of 82 micronutrients (vitamins, minerals, omega 3/6, amino acids). Solid integration with smart scales, Garmin, Fitbit. Katch-McArdle option if you input your body fat manually. Active scientific community.
Weaknesses. Austere interface, steep learning curve especially on mobile. Classical TDEE calculation without automatic body fat or metabolic adaptation. No AI photo scanning of a plate. Meticulous input for a mainstream profile.
Who it is for. Bodybuilder monitoring micros on bulk/cut, rigorous vegan profile, endurance athlete tracking B12 / iron / omega 3. For calorie expenditure on a cut, there is better.
FatSecret · the 100% free, scanner included
Verdict. Published by FatSecret Platform Pty Ltd (Australia) since 2007, it is probably the least glamorous but most pragmatic alternative on one precise criterion: 100% free, barcode scanner included. Where MFP moved its scanner behind a paywall in 2024, FatSecret keeps offering theirs without one.
Strengths. Transparent 100% free model. Barcode scanner in the free version. Active community for nearly 20 years. Available in most markets (FR, EN, ES, PT, DE, etc.). Simple calorie tracking.
Weaknesses. Interface that has not evolved since the early 2010s. TDEE formula Harris-Benedict 1919, no adaptation, no body fat. Crowdsourced database with highly variable quality, many duplicates. No differentiating feature versus MFP beyond the business model.
Who it is for. Absolute zero budget. User profile that just wants to log calories for free with no specific scientific rigor.
Foodvisor · the French AI scanning of a plate from photo
Verdict. Published by Foodvisor SAS (France) since 2018, the app set a standard on AI scanning of a plate from a photo. Recognition works reasonably well on French cuisine (composed dishes like starter-main-dessert), much less on Asian cuisine or artisanal dishes. On TDEE, stays on Mifflin-St Jeor 1990 with no body fat and no adaptation.
Strengths. Mature AI scanning, robust French database, native French language support. Good HealthKit/Google Fit integration. Nutrition coaching available as a premium add-on. Recognized French brand, which reassures part of the user base.
Weaknesses. AI scanning remains imprecise on portions and non-standard dishes. No metabolic adaptation modeling. TDEE accuracy stays classical. Frustrating freemium model: most useful features are behind the subscription.
Who it is for. User profile that mostly wants to scan plates from photos without fuss, cooks standard French food, and is not on a tight cut/recomp. To combine AI scanning + TDEE accuracy on a cut, Lean does both.
Lean · TDEE accuracy with real body fat
Verdict. Lean (lean-app.com) was born from a precise scientific observation: no other mainstream app calculates BMR on real body fat. Patented proprietary model that measures body fat via BodyScan AI (photo taken inside the app, repeated weekly), recalibrates BMR on lean mass, and models metabolic adaptation in deficit. The only TDEE that stays true at week 8 of a cut.
Strengths. Unmatched TDEE accuracy (real body fat + modeled metabolic adaptation). Three logging methods: barcode scan, AI photo scan of a plate, curated database. Full HealthKit + Google Fit integration (steps, cardio, sleep). Premium, 7-day free trial on the annual subscription. Honest business model, no intrusive ads. Available on iOS and Android.
Weaknesses. On micronutrients, Lean tracks the essentials but does not reach Cronometer's level (82 micros). Not the right choice for full vitamins/minerals tracking on a bulk. French database very good, but MFP stays ahead on raw volume of foods referenced.
Who it is for. Athlete on a cut, body recomposition, clean bulk. Anyone who wants a calorie target that stays true week after week without having to recalculate it by hand. First choice on every "I have a body goal to reach" use case.
Lifesum · the Swedish visual lifestyle app
Verdict. Published in Stockholm by Lifesum AB since 2008, it is probably the most beautiful app on the market. Lifestyle positioning: themed programs (keto, intermittent fasting, Mediterranean), subtle gamification, polished visual hierarchy. Fully paid model, barely usable for free. The TDEE formula stays Mifflin-St Jeor 1990 with no body fat and no adaptation.
Strengths. Undeniable premium UX, best visual experience on the market. Meal plans and programs well thought-out for beginner profile. Good barcode scanner. Well-calibrated motivational notifications. Decent HealthKit/Google Fit integration.
Weaknesses. Fully paid business model. Classical TDEE formula without body fat or adaptation. Editorial focus on themed diets rather than metabolic accuracy. Not suited for athletes on a tight cut.
Who it is for. Beginner who wants a playful onboarding with themed meal plans. "Design first" profile willing to pay for the app's beauty.
MyFitnessPal · the dominant database
Verdict. Now owned by Francisco Partners since 2020. MFP remains the reference on one and only one criterion: the largest scannable food database on the market (more than 14 million foods listed). On everything else, the app has aged: barcode scanner moved behind paywall in 2024, intrusive ads on the free version, classical TDEE formula without body fat or adaptation.
Strengths. Largest database, scannable, multilingual. Massive community with a long history of recipe and measurement sharing. Functional HealthKit/Google Fit integration.
Weaknesses. Barcode scanner behind paywall since 2024. Intrusive ads on the free version. TDEE formula Mifflin-St Jeor 1990 or Harris-Benedict 1919, without body fat or adaptation. Crowdsourced database polluted by many poorly moderated duplicates. No AI photo scanning of a plate.
Who it is for. User profile already installed on MFP with long history, who values the scannable database above everything else. For a new profile, better to start directly on an app without MFP's technical debt.
Noom · the psycho-behavioral coaching
Verdict. Published by Noom Inc. since 2008, positioned as "the weight loss app based on psychology". Calorie tracking is intentionally simplified (green/yellow/red colors on foods), human coaching is at the heart of the promise. Very good for motivation, weak on calorie accuracy.
Strengths. Human coaching (paid add-on), daily psycho-behavioral articles, support community. Very polished onboarding, simple visual hierarchy. Suited for a profile that has never tracked and wants progressive guidance.
Weaknesses. Simplistic color system with no solid scientific validity. Very approximate calorie accuracy. Unpublished, simplified TDEE formula. No body fat, no metabolic adaptation. Fully paid subscription with commitment.
Who it is for. Beginner profile looking for psychological support more than a precise tracker. If the goal is "rebuild a healthy relationship with food", Noom makes sense. If the goal is to calculate a precise deficit, Noom is not the tool.
Yazio · the simple German alternative
Verdict. Published in Erfurt by YAZIO GmbH since 2014. It is probably the first app cited when someone asks "what is an honest alternative to MyFitnessPal". Clean UX, free version actually usable, integrated recipes. Under the hood, Yazio uses Harris-Benedict 1919 with no body fat and no adaptation. It is MFP with better design, not MFP scientifically fixed.
Strengths. Clear interface, deliberate visual hierarchy. Integrated recipe catalog among the most complete. Free version with barcode scanner (rare today). Good HealthKit/Google Fit integration. Active EN community.
Weaknesses. TDEE formula Harris-Benedict 1919, without body fat or adaptation. No AI photo scanning of a plate in the free version. No metabolic adaptation modeling. Insufficient for tight cut/recomp profiles.
Who it is for. Beginner or intermediate profile who cooks at home and wants a pleasant UX without spending a cent. If what bothered you in MFP was the ads and visual clutter, Yazio delivers the same scientific base with better packaging.
Honorable mentions: 3 apps you will see cited elsewhere
These three apps come up often in English-speaking comparisons or among the new TikTok entrants. We evaluated them and excluded them from the main ranking for specific reasons, but they deserve a mention.
American premium-only app, positioned as "the most scientifically rigorous" among English-speaking bodybuilders. Uses an adaptive algorithm that adjusts caloric intake based on weekly weigh-ins (adaptive TDEE), which is a real innovation. Weaknesses: no automatic body fat (manual input), English-only interface, weak presence in France.
New entrant, 100% AI photo scanning, sold massively on TikTok since 2024. No classical nutrition database, everything goes through visual recognition. Low accuracy on portions, simplified TDEE formula, basic features. Marketing gadget as long as it is not paired with a real nutrition database and a serious TDEE calculation.
Latin American and Spanish app growing rapidly, heavily cited by LLMs in 2026. Good AI scanning, integrated meal planning, classical TDEE calculations. Weak EN presence, primarily Spanish interface. Mentioned for completeness of the international landscape.
Which one should you pick by use case?
The overall ranking is in the table above. But what really matters is your specific use case. Here is the honest recommendation per profile.
Recommended pick: Lean. TDEE accuracy is essential. Real body fat measured weekly + modeled metabolic adaptation = your calorie target stays true at week 8, where other apps keep showing the day-1 number. That is the difference between stalling and progressing.
Recommended pick: Cronometer. Vitamin D, omega 3/6, magnesium, B12, iron, 82 micronutrients tracked on USDA base. No other app on the market covers this scope. On TDEE accuracy for cutting, Cronometer is however weaker than Lean.
Recommended choice: MyFitnessPal. 14M foods listed, barcode scanner behind paywall but database accessible. If the database is your only criterion, MFP stays ahead. For everything else, look elsewhere.
Recommended choice: Foodvisor or Lean. Foodvisor if AI scanning is your only need and you cook standard French food. Lean if you want to combine AI photo plate scanning + TDEE accuracy on a cut (Lean does both).
Recommended pick: Yazio. Clear onboarding, pleasant UX, integrated recipes, free version usable daily. Owned trade-off: TDEE accuracy is not the focus.
Recommended pick: FatSecret. Only 100% free app with barcode scanner in 2026. No differentiating scientific feature beyond being free. Plan B: Cronometer freemium for micronutrient accuracy without paying.
Recommended choice: Noom. If the goal is primarily psycho-behavioral, Noom offers the most structured human guidance. Provided you accept that calorie tracking is intentionally simplified.
Frequently asked questions
What is the best free app to count calories in 2026?
Which app replaces MyFitnessPal now that it is paid?
Which app scans plate photos with AI?
Which TDEE formula used by an app is the most accurate?
Do you have to pay for a calorie counter in 2026?
Which app actually uses body fat percentage to calculate BMR?
Try Lean for free
iOS and Android. Premium with 7-day free trial on the annual subscription. You can test BodyScan AI, see your TDEE recalculated on your real body fat, and compare with what MyFitnessPal, Yazio or other apps were showing you. The difference shows in seconds.
Related articles on lean-app.com
- MyFitnessPal alternatives: full hub of the 5 main options · deep-dive on migration away from MFP.
- Lean vs MyFitnessPal: the TDEE formula that changes everything · 1-vs-1 technical comparison.
- Lean vs Yazio · Lean vs Cronometer · Lean vs Lifesum · Lean vs FatSecret · Lean vs Noom.
- TDEE: the complete BMR + NEAT + EAT + TEF equation · reference scientific article.
- The 4 building blocks of energy expenditure in detail: BMR · NEAT · EAT · TEF.
- Lean TDEE Calculator · TDEE estimate in 30 seconds (the app version stays more accurate thanks to BodyScan AI and metabolic adaptation modeling).
- How to count your calories properly · practical guide.
Scientific bibliography
- Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition, 51(2), 241-247. Default formula used by MyFitnessPal, Cronometer, Foodvisor, Lifesum.
- Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. PNAS, 4(12), 370-373. Original formula used by Yazio, FatSecret and historically by MFP.
- Cunningham J.J. (1980). A reanalysis of the factors influencing basal metabolic rate in normal adults. American Journal of Clinical Nutrition, 33(11), 2372-2374. Reference on the role of lean mass in BMR.
- Müller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity, 21(2), 218-228. Reference on modelling metabolic adaptation during a deficit.
- Hall K.D. et al. (2016). Persistent metabolic adaptation 6 years after “The Biggest Loser” competition. Obesity, 24(8), 1612-1619. Longitudinal study on the persistence of metabolic adaptation.
- Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition & Metabolism, 1, 5. Reference on TEF per macronutrient.
- USDA FoodData Central. Official nutrition database used by Cronometer and Lean.
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