Manual calorie tracking can require repeated searches, portion entry, and serving adjustments. AI can reduce that work using photos and voice, while leaving the result for you to review.
Method 1: Photo Recognition AI
Take a photo of your meal. AI identifies foods, estimates portions, and calculates nutrition. Works best with clear, well-lit photos.
What to expect from photo recognition
- • A photo can suggest visible foods, but not an exact recipe or weight.
- • Clear light and a useful portion description improve the estimate.
- • Review the result; use a label or kitchen scale when precision matters.
Method 2: Voice Meal Logging
Say "I ate chicken and rice" and the AI turns the description into a meal estimate. Processing time depends on the recording and connection.
Example Voice Commands
- • "I ate two scrambled eggs and toast for breakfast"
- • "Grilled chicken breast, 200 grams, with broccoli"
- • "Pizza, two slices, pepperoni"
Method 3: A Short Text Description
Type a short sentence when speaking or taking a photo is inconvenient. NutriAI does not include a barcode scanner, so use the package label when you need exact packaged-food values.
Choose the Input That Fits the Meal
- • Voice: Quick meals (breakfast, snacks)
- • Photo: Restaurant meals, complex dishes
- • Text: Clear descriptions and packaged-food label values
NutriAI supports photo, voice, and text input in one web app.