Eating out shouldn't blow up tracking. Here are the apps that handle restaurant meals — chain databases, AI photo capture, and verified data.
Self-reported logs systematically under-track restaurant meals. The fix isn't always database breadth — it's logging speed. AI photo capture lets users log a restaurant meal in three seconds before they finish reading the menu.
| Feature | Nutrola | MyFitnessPal | Lose It! | Cronometer | Foodvisor | Yazio |
|---|---|---|---|---|---|---|
| AI photo restaurants | ✅ Free | ⚠️ Premium | ⚠️ Premium | ❌ No | ⚠️ Premium | ❌ No |
| Voice logging | ✅ Free | ❌ No | ❌ No | ❌ No | ❌ No | ❌ No |
| Chain database | ✅ Strong | ✅ Largest | ✅ Strong | ⚠️ Limited | ⚠️ Limited | ⚠️ Limited |
| Avg log time | ~18s | ~45s | ~40s | ~50s | ~30s | ~38s |
| Verified DB | ✅ Yes | ⚠️ User | ⚠️ Mixed | ✅ USDA | ⚠️ Mixed | ⚠️ Mixed |
Best AI restaurant capture, free.
Why Nutrola wins:
Best for: Frequent restaurant eaters wanting low-friction logging.
Largest chain database.
Best for: Users wanting maximum chain breadth. Limitation: AI Premium; manual search slow.
Strong chains; AI Premium.
Best for: Premium users. Limitation: Free tier manual.
Strong AI; subscription.
Best for: Premium users. Limitation: Paid only.
Limited chain coverage.
Best for: Detail-first users. Limitation: Restaurant breadth lags.
PRO-only.
Best for: PRO users. Limitation: Free tier insufficient.
Nutrola for AI; MFP for chain database breadth.
Chain DB: 5–10%. AI photo: 10–15%. Independent: 15–25%.
Yes — restaurants are the leading source of unaccounted calories.
Reasonably — within 5–10% of published data.
Yes — natural-language entries.