Tips for more accurate scans
Two habits get you most of the accuracy NutriShot AI can deliver. Neither takes more than a few seconds, and together they turn a rough estimate into a number you can plan a day around.
Always confirm the portion size
After each photo, the app asks whether the portion size looks right. It's the one step that changes your numbers the most: in our 412-meal test, confirming the portion took average calorie estimates from within 11% of the kitchen scale to within 10%. Skipping it costs you accuracy.
Add context when a result looks off
If the AI reads a meal differently than you expected, add one or two words of context. "Oat milk" instead of dairy, "grilled" instead of fried, or the cuisine name. Small hints are usually all the AI needs to correct the identification.
One or two words is enough. You don't need to type out the whole recipe.
Know what to expect by food type
Some foods are easier to read from a photo than others. From our test:
- Packaged and branded foods: within 4.8% of the scale, the easiest category
- Simple home cooking: within 7.8%
- Restaurant, takeout, and sauce-heavy dishes: closer to 15-18%, since hidden oils and dressings are hard to see
A restaurant curry reads less precisely than a scanned protein bar because the camera can't see everything on the plate. For sauce-heavy plates, the portion confirmation and a context word matter most. For packaged foods, the nutrition label scan is more precise than a photo: it reads the printed facts directly.
Related articles
Ask us directly
Email us and we'll sort it out. We typically reply within 24-48 hours.
Email support