BBite2BurnScan Food

AI food recognition explained

Food Photo Calorie Estimator: How AI Meal Scanning Works

An AI food scanner looks for visible foods, estimates portions and maps them to nutrition data. It can make meal tracking faster, but a photo cannot reveal every ingredient or exact serving weight.

Try it with your own meal

Snap food to estimate calories and macros, then compare five popular activities.

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What the camera can recognize

Clear lighting, an unobstructed plate and a photo taken from a useful angle help food recognition. Mixed dishes, hidden sauces and cooking oils are harder because the camera cannot see every component.

Why calorie estimates need confirmation

Two visually similar meals may contain different amounts of oil, sugar or dressing. Bite2Burn shows an editable estimate so you can review the food, serving and macro result before adding it to your history.

From nutrition to burn-time context

After estimating calories, protein, carbohydrates and fat, Bite2Burn compares the calorie amount with popular activities. This is educational context—not medical advice, a diagnosis or a guaranteed weight-loss result.