Cal AI

Cal AI replaces the tedious part of food tracking — searching a database and guessing at portion sizes — with a camera. Photograph a meal and the app identifies what is on the plate, uses the phone's depth sensor to estimate volume, and returns a calorie count with a protein/carb/fat breakdown. Barcode scanning and plain-language description ("two eggs and a slice of sourdough") cover the cases a photo does not.

Why the depth sensor matters

Most photo-based food loggers recognise the dish and then apply an average portion size, which is where the error creeps in. Cal AI reads depth to approximate how much food is actually there, which is the difference between logging a restaurant serving and logging a picture of one.

The team publishes an accuracy figure of roughly 80% and is explicit that no photo estimate is exact — nutrition varies by preparation and ingredient. For weight management, where consistency of measurement matters more than absolute precision, that is usually sufficient; for clinical dietary work it is not, and the app says so.

What else is in it

• Barcode scanning for packaged food
• Custom foods and saved recipes for meals you eat repeatedly
• Macro targets generated from an onboarding questionnaire about goals, weight and activity
• Sync with Apple Health and Google Fit, plus fitness-tracker integrations
• Streaks and progress charts

Availability and cost

Free to download on iOS and Android with a three-day trial; the photo-scanning analysis itself sits behind a subscription billed through the App Store or Google Play. The developer reports around 5 million users and a 4.9 average rating, with over 100,000 five-star reviews across the two stores.

Cal AI is a consumer wellness tool, not medical software, and does not offer dietary or medical advice.