OneFile 🚀

Combine multiple files into one AI-ready prompt effortlessly.

OneFile is a free, open-source tool that solves common frustrations when working with AI platforms:

• 😫 Tired of hitting file upload limits on ChatGPT, Claude, or Gemini?
• 🔄 Manually uploading the same files repeatedly to different AI assistants?
• 📁 Can't upload entire folders to get comprehensive help?
• 📚 Need to combine study materials, research papers, or project documents?

OneFile solves these issues by combining multiple files (code, PDFs, docs, CSVs, etc.) into a single, well-formatted prompt that you can use anywhere. It intelligently processes your files while skipping unnecessary content like dependencies and build artifacts.

✨ Features

• 📁 Universal File Support: Combine any file type - PDFs, Word docs, spreadsheets, code files, text files, and more
• 🎯 Smart Processing: Automatically handles multiple file formats while preserving structure and relationships
• 🚫 Intelligent Filtering: Automatically filters out binary files, dependencies, and other non-text content
• 📋 Easy Export: Copy to clipboard or download your formatted prompts with a single click
• 🌐 Completely FREE & open-source!

🎯 Perfect For

• Students: Combine lecture slides, study guides, and assignments for AI-powered study help
• Researchers: Merge research papers, drafts, and notes for thesis/dissertation feedback
• Business Professionals: Gather emails, meeting notes, and project docs for AI-assisted meeting prep
• Data Analysts: Combine CSVs and data files for AI-driven pattern analysis
• Legal Professionals: Aggregate case files, precedents, and evidence for AI-powered legal research
• Entrepreneurs: Merge competitor analysis, market research, and financials for AI-generated business pitches
• Developers: Transform code files into AI-ready prompts for code review and analysis

🚀 Getting Started

Prerequisites

• Node.js 18+
• npm or yarn

Installation

1. Clone the repository:

git clone https://github.com/wahibonae/onefile.git
cd onefile

2. Install dependencies:

npm install
# or
yarn install

3. Start the development server:

npm run dev
# or
yarn dev

4. Open http://localhost:3000 in your browser

🎯 Usage

1. Enter Your Prompt: Start by typing your prompt or question in the input field
2. Add Files: Either:
   • Drag and drop files/folders into the upload area
   • Click "Choose Files" to select individual files
   • Click "Choose Folder" to select an entire directory
3. Generate: Your AI-ready prompt is generated automatically
4. Export: Either:
   • Copy the generated prompt to your clipboard
   • Download it as a text file

📝 Example Scenarios

• Student: "I have 15 PDF lecture slides, 8 study guides, and 12 homework assignments – I want ChatGPT to create practice questions but can't upload them all at once."

• Data Analyst: "I have many CSV files from different months/regions and want AI to find patterns, but I can only upload a few at a time and lose context between conversations."

• Business Professional: "I have emails, previous meeting notes, project docs, and agenda items scattered across 25+ files – I need AI to help me prepare but keep hitting limits."

• Researcher: "I want to combine multiple research papers and my draft thesis chapter to get AI feedback on my literature review."

🛠️ Built With

• Next.js - React framework
• Tailwind CSS - Styling
• Shadcn/ui - UI components
• Lucide Icons - Icons
• React Hot Toast - Notifications

🤝 Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Please make sure to update tests as appropriate and adhere to the existing coding style.

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

👤 Author

ABKARI Mohamed Wahib

• GitHub: @wahibonae
• Twitter: @wahibonae
• LinkedIn: Mohamed Wahib ABKARI

🙏 Acknowledgments

• Thanks to everyone who inspired us to build OneFile
• Thanks to the community for the support and feedback
• Inspired by the need to streamline AI interactions with multiple files

📊 Roadmap

• Custom ignore patterns
• Prompt templates for different use cases
• Multiple output formats for different AI models
• API endpoint for programmatic access
• Batch processing for large file sets
• Integration with popular cloud storage services

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Made with ❤️ by wahib