Dropnread
A web-based tool that helps prepare source code for Large Language Models (LLMs) by combining multiple files into a single text file. Perfect for when you need to share your codebase with AI models like GPT-4, Claude, or Gemini.
Install / Use
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README
Project Flattener
A web-based tool that helps prepare source code for Large Language Models (LLMs) by combining multiple files into a single text file. Perfect for when you need to share your codebase with AI models like GPT-4, Claude, or Gemini.
Features
- 🗂️ Drag & drop folder support
- 📏 Token limit awareness for various LLMs
- 🧹 Comment stripping for common programming languages
- ⚙️ Configurable file/folder exclusion patterns
- 📊 Real-time token counting
- 💾 Binary file handling options
Supported Models
- GPT-4 (128K tokens)
- Claude 2 (100K tokens)
- Gemini Experimental 1206 (2M tokens)
- Gemini 1.5 Pro (1M tokens)
Usage
- Open
index.htmlin a modern browser (Chrome/Edge recommended) - Select your target LLM model
- Configure options:
- Strip comments to reduce token usage
- Include/exclude binary files
- Adjust file exclusion patterns
- Drag a folder or use the "Select Directory" button
- Copy the processed output to clipboard
Comment Stripping Support
Supports comment removal for:
- JavaScript/TypeScript
- Python
- PHP
- Java
- C/C++
- Ruby
- Go
- Rust
- Shell scripts
- And more...
Default Exclusions
Comes with sensible defaults for excluding:
- Version control directories (.git, .svn)
- Dependencies (node_modules, vendor)
- Build outputs (dist, build)
- IDE files (.idea, .vscode)
- Compiled files (*.exe, *.pyc)
- And many more...
Browser Support
- Chrome/Chromium (recommended)
- Edge
- Other modern browsers with File System Access API support
Local Development
- Clone the repository
- Open
index.htmlin your browser - No build process or dependencies required
License
MIT License - See LICENSE file for details
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