Food Decoder
Vision AI reads labels when barcodes fail, but Yuka already dominates this space.

Halal barcode scanner using Gemini—solves real problem but competes with Whisk, Fooducate, and existing halal apps.
Muslims seeking halal food verification, especially travelers and families managing dietary restrictions
Whisk (dietary checker) · Fooducate (ingredient analyzer) · Yazio (food tracking)
I built Halal Food AI to solve a recurring problem my family faces: determining if grocery products meet specific dietary requirements (like Halal, allergen-free, etc.) by reading complex and often vague ingredient lists, especially when traveling.
While there are barcode scanners out there, most rely on static databases that are frequently incomplete for local or niche products. I wanted to see if LLMs could solve this data gap by parsing the actual ingredients on the fly.
How it works:
You can scan a barcode or snap a picture of the ingredients list. The app uses OCR and routes the text/image to Google Gemini AI to analyze. It breaks down hidden additives (like specific E-numbers), cross-references them, and builds a dietary profile. Since it's LLM-based, it naturally handles 25+ languages, which has been extremely useful for picking up foreign products. Users can also save and share safe product lists with their family network. The technical challenge: The hardest part was getting consistent, structured JSON responses from the LLM for wildly varying international ingredient formats and keeping the prompt latency low enough so you aren't standing in the grocery aisle waiting for 20 seconds.
I would love to hear your feedback on the app, and I'm especially interested to hear from anyone who has tackled real-time OCR + LLM data extraction on mobile. Happy to answer any technical questions!
Vision AI reads labels when barcodes fail, but Yuka already dominates this space.
Real-time slider between three embedding models shows how ingredients cluster differently.
Food tracking via voice with molecular breakdown, but Gemini approximations undermine trust.
Gemini-powered food extraction via natural language, but MyFitnessPal and Cronometer dominate.
Yet another recipe manager with AI parsing in a saturated market.
Clean, no-nonsense calorie and macro lookup with a searchable, categorized table sourced from USDA FoodData Central — perfect for quick checks while building a meal plan. The UI shows attention to detail (category filter, inline macros, simple search), but the idea is utility-first rather than novel; adding an API, CSV export or portion-size conversion would push this from handy to indispensable. It's a useful complement to MealJar, not a replacement for established calorie databases or trackers.