Scan the meal first. Keep the final say.

From image to structured meal

A meal photo contains visual clues about foods, preparation, and serving size. FoodSnap turns those clues into named items and a nutrition estimate, so you can move from image to food diary without searching every component individually.

The scanner is most useful as the first step in a short review flow. Confirm the food name, change the serving when needed, and add anything hidden from view. The saved record then reflects what you know as well as what the image suggests.

• Food recognition from a camera or library image
• A combined calorie and macro estimate
• Editable foods, portions, and meal details
• One place to save and revisit the result

What the camera can miss

A photograph cannot reliably reveal every ingredient or exact recipe quantity. Oil absorbed during cooking, sugar in a drink, a filling under bread, and the weight of a dense food may all need your input.

Instead of presenting the first result as certainty, FoodSnap makes editing part of the product. This is particularly important for mixed dishes and restaurant food, where visual similarity does not guarantee the same preparation.

Choose the right input for each food

Use the AI scanner for visual meals, barcode scanning for supported packaged products, and manual entry when you already know the quantity or recipe. Favorites and history can make repeat meals even faster.

A flexible workflow matters more than forcing every meal through the same tool. The goal is a consistent diary with reasonable context, not a perfect-looking scan.