AI Food Scanning FAQ: Accuracy, Privacy, and Daily Scan Limits
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Answers to common questions about photo-based calorie tracking, from how estimates work to what to do when the result looks off.
Common questions about photo-based nutrition tracking, answered using Pingoo's FoodScan as the example.
How does FoodScan estimate calories from a photo?
You photograph your meal and Pingoo identifies the food, estimates its weight, and calculates calories, carbs, protein, and fat. In the banana bread example, it measured about 75 grams with LiDAR and estimated 245 calories.
How accurate is a photo-based estimate?
It's an estimate, not a lab measurement. Accuracy depends on the photo, the food, and the assumptions used. Mixed or homemade dishes carry more uncertainty than simple foods.
Can I correct a result that looks wrong?
Yes. Pingoo shows its assumptions, such as recipe richness, loaf type, nuts, and density. Change any answer and re-analyze to refine the estimate.
Is there a limit on scans?
The Scan tab shows how many scans you have left today.
Can I use a photo from my library?
Yes. Tap the camera or pick an existing photo. Live capture adds on-screen guides for angle and distance.
Where do I see my history and trends?
The History tab lists every scanned meal with calories and timestamps. The Reports tab summarizes by day, week, and month.
Does it teach anything about nutrition?
Yes. Gamified flash cards cover groups like Fat, Sugar, and Minerals, and your summary tracks topics completed, cards played, and points.
Which devices are supported?
Pingoo is available on iOS and Android.
For the full walkthrough, see FoodScan by Pingoo AI.