// Transform repositories for AI analysis
Convert any GitHub repository into AI-friendly formats. Perfect for code analysis with ChatGPT, Claude, and other LLMs.
// Four simple steps to AI-ready code
Enter your GitHub repository URL
Choose your preferred output format
Get your AI-optimized content
Paste into your favorite AI model
// Built for developers, optimized for AI
Automatically excludes binaries, node_modules, and irrelevant files to keep output clean and focused.
Optimized output size that fits within typical LLM context windows (128k, 200k tokens).
Login with GitHub to convert private repositories you have access to. Your code stays secure.
// Common questions about Repo2LLM
Repo2LLM converts GitHub repositories into AI-friendly formats. It intelligently processes your codebase, removing unnecessary files and formatting the content so AI models like ChatGPT, Claude, and GPT-4 can better understand and analyze your code.
The converter automatically filters and processes relevant files while excluding binaries, dependencies, and large assets. It's optimized to work within AI context limits while preserving the most important code and documentation.
The converted format works great with all major LLMs including GPT-4, GPT-4 Turbo, Claude 3, Claude 3.5, Gemini Pro, and others. Each format option is optimized for different use cases and context windows.
Yes! After logging in with GitHub, you can convert any repository you have access to, including private ones. Your code is processed securely and never stored on our servers.
Yes, Repo2LLM is completely free. No signup required for public repositories. Login with GitHub only if you need to convert private repos.
// What you can do with Repo2LLM
Get comprehensive code reviews, identify bugs, security vulnerabilities, and improvement opportunities with AI assistance.
Generate README files, API documentation, and code comments automatically based on your codebase structure.
Quickly understand unfamiliar codebases by asking AI to explain architecture, patterns, and implementation details.
Get AI suggestions for code refactoring, performance improvements, and best practices implementation.