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# OCRit
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# OCR it!
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OCR it on macOS with DeepSeek-OCR.
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OCRit is a small macOS utility written in Swift that uses DeepSeek-OCR to recognize text from the screen and make it available for copying, searching, or further processing. It's designed to be lightweight and simple to use.
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OCRit is a small macOS utility written in Swift that uses DeepSeek-OCR to recognize text from photos and make it available for copying, searching, or further processing. It's designed to be lightweight and simple to use.
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## Features
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- Capture a region of the screen and run OCR on it
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- Fast local OCR using DeepSeek-OCR integration
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- Drag a photo and run OCR on it
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- Fast OCR using DeepSeek-OCR integration
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- Recognize photo text content as Markdown with LaTeX support
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- Copy recognized text to the clipboard
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- Simple macOS-native UI written in Swift
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## Screenshots
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<img width="612" height="544" alt="image" src="https://github.com/user-attachments/assets/99df5ee4-0c17-4562-9cf5-9dab396af358" />
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<img width="612" height="544" alt="image" src="https://github.com/user-attachments/assets/f2993a71-8363-4bf1-a404-f34321638cab" />
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## Requirements
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- macOS 11.0+ (Big Sur or later)
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- Xcode 13 or newer for building from source
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- (Optional) Any required model files or dependencies for DeepSeek-OCR — see project code for details
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- macOS 26.0+ (Tahoe or later)
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- Xcode 26 or newer for building from source
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— see project code for details
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## Building from source
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1. Clone the repository:
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```sh
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git clone https://github.com/aeilot/OCRit.git
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2. Open OCRit.xcodeproj (or OCRit.xcworkspace if using CocoaPods/Carthage/SwiftPM resources) in Xcode.
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3. Select a macOS target and a valid signing team in the project settings.
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4. Build and run (Cmd+R).
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## Usage
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1. Launch the app.
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2. Grant any requested permissions (Screen Recording and Accessibility) so the app can capture and interact with the screen.
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3. Use the app UI to select a region or capture the current screen.
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4. Wait briefly while OCR runs; the recognized text will appear and you can copy it to the clipboard.
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## Configuration
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- If DeepSeek-OCR requires model files or additional configuration, place them according to the instructions in the source files or the project's configuration section.
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```
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3. Open OCRit.xcodeproj (or OCRit.xcworkspace if using CocoaPods/Carthage/SwiftPM resources) in Xcode.
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4. Select a macOS target and a valid signing team in the project settings.
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5. Build and run (Cmd+R).
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## Contributing
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Contributions and bug reports are welcome. If you'd like to contribute:
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3. Open a pull request describing your changes.
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## Acknowledgements
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- DeepSeek-OCR — thank you to the authors/contributors of the OCR model and tooling.
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## License
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No license file is included in this repository. If you'd like a specific license (for example, MIT), add a LICENSE file or tell me which license you prefer and I can add one.
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- [DeepSeek-OCR](https://github.com/deepseek-ai/DeepSeek-OCR/) — thank you to the authors of the OCR model and tooling.
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## Contact
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If you have questions or need help, open an issue on the repository: https://github.com/aeilot/OCRit/issues
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This README was added by GitHub Copilot on request of the repository owner.
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Made with ❤️ by [Louis Deng](https://aeilot.top/)

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