Repo2Txt
Convert GitHub & Local Repositories to AI-Friendly Text
Simplify Your AI Workflow with Repository Integration
Repo2Txt is a powerful solution that transforms GitHub repositories, local directories, and web content into structured text format optimized for AI models. Whether you're working with ChatGPT, Claude, Gemini, or other large language models (LLMs), Repo2Txt helps you provide comprehensive context about your codebase, enhancing AI interactions and enabling more accurate responses.
GitHub Repository Converter
Convert public and private GitHub repositories into structured text with full control over file selection and formatting.
Local Directory Converter
Transform local project directories or zip files into AI-friendly text while maintaining privacy and security.
Crawl4AI Web Scraper
Extract and structure web content for AI consumption, extending your LLM's knowledge with the latest information.
GitHub Repository Converter
The GitHub Repository Converter is the core feature of Repo2Txt, allowing you to transform any GitHub repository into a structured text format that's optimized for AI consumption. This powerful tool helps you provide large language models with comprehensive context about your codebase, enabling more accurate and contextually relevant responses.
Key Features:
- Repository Structure Visualization: Easily view and navigate the structure of your GitHub repositories.
- Selective File Processing: Choose specific files or directories to include in your text output.
- Extension Filtering: Include only files with certain extensions to focus on relevant code.
- Private Repository Support: Access and convert private repositories using personal access tokens.
- Token Count Estimation: Get accurate estimates of token usage to stay within LLM context limits.
- One-Click Copy: Instantly copy the generated text to your clipboard for immediate use.
- Downloadable Output: Save the processed text file for future reference or sharing.
By converting your GitHub repositories to text, you enable LLMs to understand the relationships between different files and components of your project, leading to more accurate code generation, debugging assistance, and technical insights.
Local Directory Converter
Not all projects live on GitHub, and that's where the Local Directory Converter comes in. This feature allows you to transform local project directories or zip files into structured text format, making it perfect for offline work, sensitive projects, or custom file organization.
Key Benefits:
- Enhanced Privacy: Process files locally without uploading sensitive code to external servers.
- Zip File Support: Upload compressed project archives (.zip, .rar, .7z) for quick processing.
- Token Optimization: Estimate token usage to ensure your text fits within LLM context windows.
- Structured Output: Generate well-formatted text that preserves project hierarchy and relationships.
- Offline Processing: Convert projects without requiring internet connectivity or GitHub integration.
The Local Directory Converter is essential for developers working with confidential codebases, legacy projects not hosted on GitHub, or those who prefer to maintain complete control over their data processing workflow.
Crawl4AI Web Scraper
Crawl4AI is an advanced AI-powered web crawling and scraping framework designed for large-scale data extraction and real-time knowledge augmentation. This powerful tool allows you to retrieve structured web data in an LLM-compatible format, ensuring seamless integration with your favorite language models.
Advanced Capabilities:
- AI-Ready Output: Generate content in formats optimized for LLM consumption (JSON, Markdown, cleaned HTML).
- Asynchronous Architecture: Crawl multiple URLs concurrently for dramatically faster data collection.
- JavaScript Execution: Capture dynamic content from modern single-page applications and interactive websites.
- Advanced Chunking: Segment content intelligently for optimal retrieval and processing.
- Media Extraction: Capture images, audio, and video alongside textual content.
- Error Handling: Built-in retry mechanisms and rate limiting to ensure reliable data collection.
Crawl4AI helps reduce AI hallucinations by extending your LLM's knowledge with fresh, up-to-date information from authoritative sources. It's perfect for developers, researchers, and businesses looking to enhance their AI applications with real-time web data.
Practical Applications
LLM Training & Fine-Tuning
Create structured training data from code repositories to fine-tune AI models for specific programming languages or frameworks.
AI-Assisted Debugging
Provide LLMs with complete project context to get more accurate debugging assistance and error resolution.
RAG Systems
Build Retrieval-Augmented Generation systems by converting repositories to text, generating embeddings, and storing them in vector databases.
Code Generation
Enable more contextually aware code generation by providing LLMs with comprehensive project structure and existing patterns.
Documentation
Generate comprehensive documentation by allowing AI to analyze entire codebases and explain functionality in natural language.
Knowledge Extension
Extend AI models' knowledge with up-to-date information from the web, reducing hallucinations and improving accuracy.
What Users Are Saying
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Frequently Asked Questions
Is Repo2Txt free to use?
Yes, Repo2Txt is completely free and open-source. You can use all features without any cost or subscription.
Can I use Repo2Txt with private GitHub repositories?
Absolutely! You can access private repositories by providing a personal access token with appropriate permissions.
How does Repo2Txt handle large repositories?
Repo2Txt provides token count estimates and allows selective file inclusion to help manage large repositories within LLM context limits.
Is my code secure when using Repo2Txt?
Yes, all processing happens locally in your browser. For additional security, you can use the local directory converter for sensitive projects.
Which AI models work best with Repo2Txt output?
Repo2Txt is optimized for all major LLMs including ChatGPT, Claude, Gemini, DeepSeek, and open-source models like Llama and Mistral.