MyFitnessPal Review (2026): Still the Database King, But the Paywall Has Grown
MyFitnessPal's 17-million-entry database remains the deepest in the index. Three structural changes in 2026 — paywall expansion, the Cal AI acquisition, and user-submitted data variance — temper the recommendation.
MyFitnessPal scores 8.0/10 in the 2026 Calorie Tracker Index. The 17M-entry community database remains unmatched for US chain restaurant and packaged-food breadth. The May 2026 paywall expansion moved barcode scanning behind Premium, and the March 2026 Cal AI acquisition consolidated the photo-AI category. User-submitted data still carries ~12% accuracy variance — material when compared against curated databases like Cronometer or PlateLens.
Score breakdown
Pros
- 17M-entry database — the largest in the category, particularly strong on US chain restaurants and packaged goods
- Fast barcode scanning (when on Premium) and quick-add by name
- Cal AI photo-recognition integrated post-March-2026 acquisition
- Cross-platform with Apple Watch and Wear OS support
- Recipe import from URLs (Premium) handles most major food blogs
Cons
- May 2026 paywall expansion moved barcode scanning behind Premium — a notable downgrade [1]
- User-submitted database carries ~12% accuracy variance vs curated reference databases [2]
- Feature creep — community feed, blogs, challenges add friction to the logging core
- Premium at $79.99/yr is the most expensive non-photo-AI tracker in the index
- The Cal AI integration is rough; standalone Cal AI accuracy issues carry over
Best for
US chain restaurant database depth; users who want fastest food matching for packaged products
Not ideal for
Users who want curated database accuracy or photo-AI accuracy without compromise
Verdict
MyFitnessPal remains the database king in 2026 — the 17M-entry catalog is genuinely unmatched, and for US chain restaurant breadth there is no substitute. The case against it has nonetheless strengthened. The May 2026 paywall expansion moved barcode scanning — a feature most users assumed was foundational — into Premium, and the March 2026 Cal AI acquisition consolidates rather than resolves the photo-AI accuracy gap (Cal AI's standalone ±14.6% MAPE [3] does not improve by joining MFP). User-submitted data variance is the structural problem: when the same food has multiple community entries, the cheapest-to-pick entry is rarely the most accurate. For users whose primary need is fast matching of US-chain or packaged foods, MFP is still the right call. For users prioritizing accuracy or modern AI, PlateLens or Cronometer present a clearer case.
Frequently asked questions
Is MyFitnessPal still worth using in 2026?
Yes, conditionally — if you log mostly US chain restaurants or packaged foods and the 17M database breadth is genuinely useful to you. If you're price-sensitive, look at FatSecret or Lose It! For accuracy or AI, look at PlateLens or Cronometer.
What changed with the May 2026 paywall?
Barcode scanning, several macro views, and recipe import moved from free tier to Premium. The free tier still supports manual entry and basic logging but is meaningfully thinner than it was.
Did the Cal AI acquisition fix MyFitnessPal's photo-AI?
Partially. Cal AI's photo-recognition is now integrated, but Cal AI's standalone ±14.6% MAPE [3] is the same model — the acquisition consolidates the market without closing the accuracy gap to PlateLens's ±1.1%.
How does the 17M-entry database compare to Cronometer's curated approach?
Breadth vs fidelity. MFP wins on breadth — you'll almost always find a match. Cronometer wins on fidelity — the match you find is closer to truth. Choose based on which is the bigger bottleneck for your use.