Track.it
Calorie and recipe tracking with LLM-powered food logging.
Jan 2026 – Apr 2026
Track.it makes food logging fast enough to actually stick with. Instead of typing every ingredient, you can scan a barcode, import a recipe straight from a URL, or pull from your personal recipe library — the app's AI pipeline extracts ingredients and nutritional breakdowns automatically.
Under the hood it's a TypeScript monorepo: an Expo mobile app backed by an Express API, with OpenAI handling recipe extraction and Google Cloud Vision powering barcode and OCR capture. Onboarding captures your metrics and goals, and a dashboard tracks calories against personalized targets.
App screenshots coming soon
Key features
Recipe import from any URL
Paste a link and an LLM pipeline extracts ingredients, steps, and macros into a loggable recipe.
Barcode scanning
Point the camera at packaging — Google Cloud Vision resolves the product and its nutrition facts.
Personal recipe library
Save, edit, and relog your own recipes with per-serving nutritional breakdowns.
Nutrition dashboard
Daily calories and macros tracked against goals set during a personalized onboarding flow.
Built with
Source code for this project is private.