Overview / Description
NutriScan is an AI nutrition tracking tool that scans food and supplement nutrition labels from photos to log macros automatically for health-conscious individuals and fitness enthusiasts. Using computer vision, NutriScan reads nutrition facts panels from any grocery item or supplement container — simply upload a PNG, JPG, or WebP image (up to 10MB) or take a photo directly in the app, and the AI instantly parses calorie, protein, carbohydrate, and dietary fiber values into your daily log.
The tool organizes your nutrition data across five core modules: Label Scan for photo-based parsing, Snaps for capturing meals, Track for monitoring daily intake against personalized goals, Pantry for cataloguing your regular foods, and Care for health insights. The dashboard displays active health intakes as progress bars against user-set targets — for example, calories consumed vs. a 2,000 kcal daily goal, or grams of protein tracked against a 50g target — giving you an at-a-glance view of where you stand throughout the day.
Because NutriScan reads directly from the nutrition label rather than relying on a generic food database, values reflect the exact product you are eating, not a crowd-sourced average. This makes it particularly useful for people tracking supplements, specialty foods, or imported products that may be missing from standard food databases.
No pricing details are published on the homepage, so prospective users should visit the website to confirm current plan availability.
Best for: individuals who want fast, photo-based macro logging without manually searching food databases, especially those tracking packaged foods and dietary supplements.
Used For
nutrition label scanning, macro tracking, calorie logging, protein tracking, dietary fiber monitoring, supplement nutrition tracking, pantry management
Pricing
Plan
Pricing not published — visit https://nutriscan-296306657160.us-east1.run.app/ for current plans
Pros & Cons
Pros
- Parses nutrition label values (calories, protein, carbs, dietary fiber) directly from a photo in seconds using AI computer vision
- Accepts PNG, JPG, and WebP image uploads up to 10MB, plus in-app camera capture
- Dashboard shows real-time macro progress bars against personalized daily targets
- Pantry module lets you catalogue regularly used foods for faster repeat logging
- Reads exact label values rather than relying on crowd-sourced food database averages, improving accuracy for supplements and specialty products
Cons
- Pricing is not published on the homepage — users must visit the site to find current plan details
- Only works with packaged foods that have a printed nutrition label; whole/unpackaged foods are not supported via label scan
- No integrations with wearables or third-party fitness apps mentioned on the homepage
- Web app only — no dedicated native iOS or Android app confirmed on the homepage
Questions & Answers
Alternatives
MyFitnessPal, Cronometer, Lose It!, Nutritionix, Yazio