Food Database
Food Database — A food database is the indexed collection of foods, with per-portion calorie and macro values, that a calorie tracker app uses to convert your logged meal into a calorie number. Database quality (USDA-aligned vs. crowdsourced) drives accuracy more than database size.
What Is a Food Database?
The food database is the back-end of any calorie tracker app — the indexed collection of foods with per-portion calorie and macro values that the app pulls from when you log a meal. Whether you type “100g chicken breast”, scan a barcode, or photograph a meal, the app eventually has to look up a calorie value somewhere. That somewhere is the food database.
Two database design approaches dominate in 2026:
- USDA-aligned databases. Anchored to USDA FoodData Central per-component values. Smaller (typically 1–1.5M entries) but verified. Used by Cronometer, PlateLens, MacroFactor (partial).
- Crowdsourced databases. Built from user-submitted entries. Much larger (10M+ entries) but uneven quality. Used by MyFitnessPal (14M+) and Lose It! (8M+).
Why It Matters
Database quality drives accuracy more than database size. In our 2026 testing, USDA-aligned databases produced lower MAPE numbers than crowdsourced ones at every difficulty tier — even when the crowdsourced database was 10× larger.
The mechanism: a crowdsourced database has many entries for “grilled chicken breast” with calorie values ranging from 100 to 200 kcal per 100g, depending on which user submitted which entry. The user picks one (often the first result), and the picked entry may be wrong by ±50%. A USDA-aligned database has one verified entry per food, anchored to lab-measured per-component values.
Database Size vs. Quality Trade-off
Database size matters for restaurant chain coverage. MyFitnessPal’s 14M+ database includes menu items from regional chains, fast-casual spots, and hyper-local restaurants that USDA-aligned databases simply don’t index. For users who eat at chains daily, database breadth is a real feature.
Database quality matters for accuracy. For users whose tracking has to be trustworthy, USDA-alignment beats raw entry count. See PlateLens vs MyFitnessPal for the head-to-head where this trade-off plays out.