🖥️ local-llm-pdf-ocr - Convert PDFs to Searchable Text Easily
📥 Download & Install

To get started, you need to visit the Releases page to download the latest version of our application.
🚀 Getting Started
local-llm-pdf-ocr lets you convert scanned PDF documents into searchable text quickly. This powerful tool works entirely offline, meaning your files remain private and secure. With a simple web user interface (UI) and a command line interface (CLI), it’s designed for everyone.
🌐 Features
- Convert scanned PDFs to searchable text
- Works offline for privacy
- Modern web UI for easy interaction
- Command line interface (CLI) for advanced users
- Supports popular PDF formats
- Fast conversion using state-of-the-art Vision LLMs
- 100% free to use
🛠️ System Requirements
- Operating System: Windows, macOS, or Linux
- Minimum RAM: 4GB
- Minimum Storage: 200MB free space
- Python 3.7 or later (included in the installer)
👩💻 Usage Instructions
Using the Web UI
- After installation, open the application.
- Click on “Upload PDF” to select your scanned document.
- Wait for the conversion process to complete.
- Download the resulting searchable PDF.
Using the Command Line Interface (CLI)
- Open your terminal or command prompt.
- Navigate to the application’s directory.
- Run the command:
python olmocr.py your-scanned-document.pdf
- Your searchable PDF will be saved in the same folder.
💡 Tips
- Ensure your scanned PDFs are clear for better results.
- Experiment with different documents to see how the tool performs.
- Remember you can use the CLI for batch processing of multiple files at once.
🧾 Known Issues
- Occasionally, very low-quality scans may yield less accurate text.
- Certain PDF formats may have limitations—please refer to the FAQ on our website for more details.
❓ Frequently Asked Questions
Q: Is my data safe?
A: Yes, local-llm-pdf-ocr runs on your machine and keeps your files private.
A: The application is designed for desktop use only.
Q: Does it require an internet connection?
A: No, local-llm-pdf-ocr operates completely offline.
🤝 Contributing
We welcome contributions! If you want to help improve local-llm-pdf-ocr, please visit our Contribution Guide.
👍 Support
If you encounter issues or have questions, please check the Issues section of our repository.
📜 License
local-llm-pdf-ocr is released under the MIT License. See the LICENSE file for more information.
For a smooth experience, ensure your system meets the requirements listed above, and follow the detailed instructions to install and use local-llm-pdf-ocr effectively.