What-To-Eat

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what-to-eat is an AI-powered recipe generation platform that supports Chinese and international cuisines. It provides nutritional analysis, wine recommendations, and AI-generated recipe images.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is what-to-eat?

what-to-eat is an AI-powered intelligent recipe generation platform designed to assist users in creating diverse culinary dishes. It supports a wide range of cuisines, including the eight major Chinese culinary traditions and international dishes. The platform offers comprehensive cooking guidance through features like detailed nutritional analysis, professional wine pairing recommendations, and AI-generated recipe effect images. Additionally, it includes functionalities for personalized sauce design, recipe collection management, and a fun 'fortune cooking' feature. Users can dynamically configure AI model parameters, supporting multiple service providers for text and image generation, ensuring flexibility and adaptability in recipe creation.

Best used for

Ideal for chefs, housewives, and parents who need to generate diverse recipes, analyze nutritional content, and get wine pairing suggestions. Especially valuable for those looking to explore Chinese and international cuisines with AI-generated visual aids and customizable AI model parameters.

Common actions

generate recipes

analyze nutrition

create food images

plan meals

manage recipes

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Capabilities

Key features

Intelligent recipe generation
Nutritional analysis
AI effect image generation
Wine pairing recommendations
Sauce design
Recipe collection management
Dynamic AI model configuration

Target Audience

chefhousewifehousehusbandparent

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What AI models does what-to-eat support for recipe generation?

what-to-eat supports any OpenAI-compatible API services for text generation, including high-quality large models like GPT, Claude, and DeepSeek. For image generation, it explicitly mentions support for models like cogview-3-flash, allowing users to switch between different providers and models for varied creative styles and professional levels.

Can I customize the AI model parameters within the platform?

Yes, what-to-eat features a powerful dynamic configuration system. Users can modify API addresses, keys, models, temperature parameters, and timeout settings at runtime without needing to restart the application. These settings are saved locally and can be tested for connectivity.

Does what-to-eat provide nutritional information for generated recipes?

Yes, a core feature of what-to-eat is its nutritional analysis capability. It provides detailed nutritional component analysis and health scores for generated recipes. The accuracy of this analysis can vary depending on the quality of the AI model used.

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Content & Design › Image Generation

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