Free online tool to convert your codebase into AI-ready prompts for ChatGPT, Claude & Gemini. Includes token counter, smart file exclusion, and 100% local processing for security.
🔒 100% Local Processing. Your code never leaves your browser.
Drag and drop a folder or select files
Our free LLM context compiler instantly converts your codebase to AI-ready prompts for ChatGPT, Claude, and Gemini. This browser-based tool helps developers prepare code for AI review, compile GitHub repositories, and format projects for LLM analysis — all without uploading files to any server. Perfect for getting AI code reviews, debugging assistance, and architectural feedback while keeping your proprietary code 100% secure and local.
Your code never leaves your browser. No uploads, no servers, no data collection. Perfect for proprietary and confidential projects.
Auto-excludes node_modules, .git, build folders. Processes 1000+ files in seconds with real-time progress tracking.
Real-time token estimation for ChatGPT (128K), Claude (200K), and Gemini (1M) context windows.
💡 Pro Tip: Enable "Minify code" to reduce token count by 30-50% and fit more code into AI context windows.
Simply drag and drop your project folder into our free LLM Context Compiler tool. It will automatically format your code into a ChatGPT-ready prompt, exclude unnecessary files (node_modules, .git), and show you the token count. Then click "Copy to Clipboard" and paste into ChatGPT.
Use code minification to strip whitespace and comments, selectively exclude non-essential files using the file tree checkboxes, and monitor the token counter. Our tool estimates tokens in real-time so you can stay within ChatGPT's limits (8K for GPT-3.5, 128K for GPT-4).
Our tool generates markdown-formatted output with clear file path headers and code blocks - the exact format Claude 3 prefers. With Claude's 200K token context window, you can upload significantly larger codebases than with other AI models.
Use our LLM Context Compiler to convert your entire project into a single markdown file, copy it to your clipboard, then paste it into ChatGPT, Claude, or Gemini with a prompt like "Review this codebase for bugs, security issues, and improvements".
Code prompts exceed token limits due to: 1) Including node_modules or build files, 2) Not minifying code, 3) Including unnecessary files. Our tool automatically excludes bloat directories and offers minification to reduce token count by 30-50%.
Drag and drop your folder into the LLM Context Compiler. The tool will instantly display an estimated token count using a 4:1 character-to-token ratio, which is accurate for most AI models including GPT-4, Claude, and Gemini.
The safest way is using a 100% local processing tool like ours. Your code is compiled entirely in your browser - nothing is uploaded to external servers. This is critical for proprietary or confidential codebases.
Our tool automatically excludes common build directories (node_modules, .git, .next, dist, build, out, coverage) and sensitive files (.env, .pem, .key). You can also manually uncheck any files in the visual file tree.
Enable code minification to remove whitespace and comments, exclude test files and documentation, use selective file inclusion via checkboxes, and target AI models with larger context windows (Claude 200K, Gemini 1M vs GPT-4 128K).
Use our 100% local processing tool - your code never leaves your browser. Unlike cloud-based tools, there's no risk of your proprietary code being stored on external servers or used for AI training. All compilation happens client-side using JavaScript.