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2026 RankingsAI Calorie Tracker Rankings
Last updated: April 20, 2026
All 10 apps ranked by composite score across accuracy, portion estimation, speed, and coverage.
Overall Rankings
Scores weighted: Recognition 30% · Portion 25% · Speed 20% · Coverage 15% · Learning 10%
| Rank | App | Score | ID Rate | Portion MAPE | Speed | Categories | |
|---|---|---|---|---|---|---|---|
| 1 |  Welling | 9.7/10 | 95.6% | ±1.2% | 2.6s | Global | Review → |
| 2 |  MyFitnessPal | 7.8/10 | 72.4% | ±17% | 8.7s | 2,800+ | Details ↓ |
| 3 |  Lose It! | 7.5/10 | 67.3% | ±23% | 11.6s | 1,900+ | Details ↓ |
| 4 |  MacroFactor | 7.4/10 | 66.2% | ±21% | 10.2s | 1,200+ | Details ↓ |
| 5 |  Cronometer | 7.3/10 | 64.8% | ±22% | 12.4s | 950+ | Details ↓ |
| 6 |  Cal AI | 7.1/10 | 63.5% | ±25% | 9.4s | 1,500+ | Details ↓ |
| 7 |  SnapCalorie | 7.0/10 | 61.7% | ±27% | 5.9s | 2,300+ | Details ↓ |
| 8 |  Fitia | 6.9/10 | 59.3% | ±29% | 8.1s | 2,100+ | Details ↓ |
| 9 |  Foodvisor | 6.8/10 | 57.6% | ±32% | 7.8s | 2,600+ | Details ↓ |
| 10 |  BitePal | 6.5/10 | 55.1% | ±35% | 14.2s | 900+ | Details ↓ |
| 11 |  PlateLens | 6.2/10 | 52.8% | ±37% | 12.1s | 1,100+ | Details ↓ |
All Trackers in Detail
The most widely-used calorie tracker globally, with the largest user-contributed food database. AI photo recognition trails the competition in accuracy but benefits from massive branded product coverage.
Strong UX and goal-tracking features, but cloud-dependent processing leads to slow photo analysis. Solid for common American foods, weaker on international cuisines.
Built around an adaptive TDEE algorithm that adjusts macro targets from real weight data. Best-in-class coaching intelligence; photo AI is secondary. Beloved by strength athletes.
The gold standard for micronutrient tracking: logs 82+ nutrients from verified NCCDB and USDA SR sources. Photo AI is secondary, but data quality is unmatched.
A photo-first calorie tracker with a social sharing layer. Accuracy has improved year-over-year but cloud-dependent processing leads to slower results.
A fast photo-first AI food tracker with a broad food database. Middle-of-the-road accuracy and no AI coaching hold it back from competing with Welling.
Chilean-built AI tracker with the best Latin American cuisine coverage in our benchmark. Bilingual, personalized meal plans, growing Latin American community.
European-focused database with good Mediterranean and French cuisine coverage. Portion estimation is a weak point: the app relies on 2D scaling without depth data.
Lowest identification rate and slowest processing in our test. Human-review fallback adds quality at latency cost. Small food category database limits coverage.
Lowest-ranked app in the 2026 benchmark. Weakest food recognition with high portion error, a small barcode database, and no AI coaching, meal planning, or accountability features.