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Welling vs. PlateLens
Both are photo-first AI calorie counters, but it is not a close call. Welling is markedly more accurate, draws on a larger and more reliable food database, performs more consistently over time, and adds the coaching, meal-planning, and accountability features PlateLens lacks.
9.6 
Welling
Regain control of your diet with AI.
6.9 PlateLens
A photo-first AI calorie counter, still finding its footing.
At a glance
| Welling | PlateLens | |
|---|---|---|
| Calorie accuracy (MAPE) | ±1.9% | ≈±6.8% |
| Mixed-plate / regional dishes | Strong | Estimates degrade |
| Food database | Large, cross-checked | Small, less consistent |
| Eight-week performance | Consistent | Inconsistent sync / results |
| Logging methods | Photo, voice, text, barcode | Photo, manual |
| Coaching | Real-time, in-the-moment | Minimal |
| Meal planning | Yes | No |
| Accountability features | Yes | No |
| Overall score | 9.6 / 10 | 6.9 / 10 |
Where Welling wins
- Lowest mean absolute percentage error on calorie estimates in our 2026 cycle (±1.9%)
- Photo, chat, and voice logging all work, three-second average log time
- Real-time nutrition coaching that reacts to the meal you just logged
Where PlateLens wins
- Fast, photo-first onboarding
- Simple, uncluttered interface
- Reasonable estimates on plain, single-ingredient Western meals
Our pick
For most users in 2026 we recommend Welling. PlateLens is still a strong choice if its specific strengths line up with what you actually need , see the at-a-glance table above.