Imagine reading a restaurant menu and wondering: What does “chicken katsu curry” actually look like? Many restaurants don’t include photos, and food delivery apps often show generic images. I wanted…

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A developer built an AI-powered food visualization service in a weekend that converts menu text descriptions into realistic food images. The system uses a three-step pipeline: Tesseract.js extracts text from menu photos, OpenAI's GPT structures the raw text into dish descriptions, and Replicate's Stable Diffusion generates photorealistic food images. The full-stack application uses React/TypeScript for the frontend, Python Flask for the backend, and is containerized with Docker for easy deployment across platforms like Render, Railway, and Vercel.

How I Built an AI-Powered Food Visualization Service in a Weekend