How do I cook this? Upload a food photo and AI writes a full recipe with ingredients, step-by-step instructions, and cooking times.
Choose the type of analysis you want to perform on your image.
Select the AI vision model for analysis.
PNG, JPG or GIF files supported. You can upload multiple images.
Recipe Generation is an AI tool that examines food images to generate detailed recipes with ingredients, cooking methods, step-by-step instructions, and cooking time estimates. The tool helps cooks, food enthusiasts, and anyone wanting to recreate dishes generate recipes from food photos. Recipe generation requires understanding ingredients, cooking techniques, how to structure recipes, and how to estimate cooking times. This tool combines knowledge of cooking, recipe structure, ingredient identification, and visual analysis to provide comprehensive recipe creation. It can analyze food photos to identify ingredients, assess preparation, and generate complete recipes. The analysis helps you generate recipes, understand cooking methods, and learn how to recreate dishes.
Upload food images and the AI examines recipe aspects including ingredient identification (identifying all ingredients in the dish), cooking method analysis (determining cooking and preparation techniques), recipe structure (creating organized recipe format), step-by-step instructions (generating detailed cooking steps), cooking time estimation (estimating preparation and cooking times), serving size (suggesting appropriate serving sizes), and cooking tips (providing helpful cooking advice). The analysis provides complete recipes with ingredients, instructions, times, and tips. The tool explains recipe generation principles in accessible terms, helping individuals understand how to create recipes from food images.
Upload a photo of the dish and the AI writes a complete recipe: the ingredients it can identify, step-by-step instructions in cooking order, estimated prep and cook times, and a suggested serving size. It also adds practical tips and variations, so a restaurant plate or a food photo from social media becomes something you can actually attempt tonight.
Yes, within limits. The AI recognizes the dish type, reads visible components (proteins, vegetables, sauces, garnishes), and infers the cooking methods from texture and color cues like char marks, glaze, or browning. From that it reconstructs a plausible recipe. It is reverse-engineering from appearance, so think of the output as a strong starting draft.
Visible ingredients are usually caught reliably. Hidden ones are educated guesses: stock bases, marinades, spices folded into a sauce, or anything blended smooth. Quantities are estimates too, since a photo carries no weights. Taste as you cook and adjust seasoning, and expect the recipe to get you close rather than reproduce the exact original.
A clear, well-lit shot from above or at a slight angle, close enough that individual components are distinguishable. Natural daylight beats dim restaurant lighting, and an uncut dish photographed before you dig in gives the AI more structure to read. Blurry or heavily filtered photos cost you ingredient detail.
It identifies cakes, breads, and pastries well and describes sensible technique, but baking is ratio-sensitive in a way a photo cannot fully reveal. Flour, fat, sugar, and leavening amounts are inferred, not measured, so treat baked-good quantities as a template and cross-check against a trusted base recipe before committing your oven time.
It will get you a faithful home version, not the house recipe. Restaurants rely on prep work a photo cannot show, like long-simmered stocks and proprietary spice blends. The AI gives you the structure and technique to recreate the dish convincingly, then your own tasting closes the remaining gap.
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