Photo Calorie Counter: Snap, Don't Type
Searching food databases for every meal is what makes calorie tracking feel like a second job. Avocal flips that. You snap a photo, the AI identifies what's on the plate, estimates portions, and returns calories and macros in about 3 seconds. Works on home cooking, restaurant dishes, and packaged food where traditional databases tend to give up.
How it works
AI vision model trained on 1M+ food images
Time per meal
≈ 3 seconds from snap to result
Output
Calories, protein, carbs, fat, fiber, score 0-100
Snap a meal. Get calories.
Get calories, macros, and a nutrition score from any food photo.
FAQs
Frequently asked
How accurate is photo-based calorie counting?
For common foods, Avocal lands within ±10-15% of a manual calculation. Adjusting the portion size after the scan tightens that further. If you need exact numbers (medical or competitive contexts), weighing food is still the gold standard.
Does it work on home-cooked meals?
Yes, this is where photo-based AI beats traditional databases. The model identifies visible ingredients (rice, chicken, sauce, vegetables) and estimates the macro split based on what it sees, even when your dish isn't in any cookbook.
Stop guessing. Start scanning.
Avocal estimates calories from a single photo. Free tier with 3 scans/day.
Download Avocal Free