{"id":28266588,"url":"https://github.com/royshil/scoresight","last_synced_at":"2025-10-10T17:49:22.694Z","repository":{"id":236073345,"uuid":"791852727","full_name":"royshil/scoresight","owner":"royshil","description":"ScoreSight is a powerful scoreboard OCR software for live broadcasts","archived":false,"fork":false,"pushed_at":"2024-12-19T16:33:02.000Z","size":21061,"stargazers_count":96,"open_issues_count":14,"forks_count":7,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-10-04T00:36:49.768Z","etag":null,"topics":["cross-platform","live-streaming","livestream","ocr","optical-character-recognition","pyinstaller","pyqt6","qt6","realtime-ocr","scoreboards"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/royshil.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-04-25T13:53:54.000Z","updated_at":"2025-09-30T11:44:36.000Z","dependencies_parsed_at":"2025-01-16T16:09:17.750Z","dependency_job_id":"2b724838-fe94-4fcc-82d9-e3348256ebce","html_url":"https://github.com/royshil/scoresight","commit_stats":{"total_commits":129,"total_committers":1,"mean_commits":129.0,"dds":0.0,"last_synced_commit":"b6da66e514f52ca0cc7cf49eda8ed3d5f45c69fe"},"previous_names":["occ-ai/scoresight","locaal-ai/scoresight"],"tags_count":18,"template":false,"template_full_name":null,"purl":"pkg:github/royshil/scoresight","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/royshil%2Fscoresight","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/royshil%2Fscoresight/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/royshil%2Fscoresight/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/royshil%2Fscoresight/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/royshil","download_url":"https://codeload.github.com/royshil/scoresight/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/royshil%2Fscoresight/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279004822,"owners_count":26083783,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-10T02:00:06.843Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cross-platform","live-streaming","livestream","ocr","optical-character-recognition","pyinstaller","pyqt6","qt6","realtime-ocr","scoreboards"],"created_at":"2025-05-20T14:05:36.213Z","updated_at":"2025-10-10T17:49:22.689Z","avatar_url":"https://github.com/royshil.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ⚠️ Stalled ⚠️ This project is not under active development\n\n## ScoreSight - Real-time OCR For Scoreboards, Apps, Games and more\n\n\u003cdiv align=\"center\"\u003e\n\n[![GitHub](https://img.shields.io/github/license/occ-ai/scoresight)](https://github.com/occ-ai/scoresight/blob/main/LICENSE)\n[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/occ-ai/scoresight/build.yaml)](https://github.com/occ-ai/scoresight/actions/workflows/build.yaml)\n[![Total downloads](https://img.shields.io/github/downloads/occ-ai/scoresight/total)](https://github.com/occ-ai/scoresight/releases)\n[![GitHub release (latest by date)](https://img.shields.io/github/v/release/occ-ai/scoresight)](https://github.com/occ-ai/scoresight/releases)\n\n\u003c/div\u003e\n\nScoreSight is an OCR (Optical Character Recognition) application designed to extract text from real-time updating streams like scoreboards, applications, videos and games.\n\n\u003cdiv align=\"center\"\u003e\n\u003ca href=\"https://youtu.be/MtctQZ2DIjU\" target=\"_blank\"\u003e\u003cimg src=\"./docs/scoresight_getting_started.png\" width=\"50%\"/\u003e\u003c/a\u003e\n\u003c/div\u003e\n\nIt is written in Python and utilizes the following technologies:\n\n- Qt6: A cross-platform GUI toolkit for creating graphical user interfaces.\n- OpenCV: A computer vision library for image and video processing.\n- Tesseract OCR: An open-source OCR engine for recognizing text from images.\n\nIt is the best **free** real-time OCR tool on planet Earth for scoreboards and games.\n\n## Features\n\n- Works natively on Windows, Mac and Linux (the only scoreboard OCR tool that does it)\n- Input/Capture: USB, NDI, Screen Capture, URL / RTSP, Video Files, etc.\n- Perspective correction\n- Image processing and binarization techniques, local, global etc.\n- Output to text files (.txt, .csv, .xml)\n- [HTTP output via local server](docs/http_server.md): HTML, JSON, XML and CSV endpoints\n- Call external HTTP services with the OCR data\n- Import \u0026 Export configuration profiles\n- Integrations: [OBS](https://obsproject.com/) (websocket), [vMix](docs/vmix.md) (API), [NewBlue FX Titler](https://newbluefx.com/titler-live) (API), [UNO](https://www.overlays.uno/) (API), [generic HTTP APIs](docs/out_api.md)\n- Up to 30 updates/s\n- Unlimited detection boxes\n- Camera bump and drift correction with stabilization algorithm\n- Unlimited devices or open instances on the same device\n- Detect any scoreboard fonts, general fonts and even \"dot\" indicators\n- Translated to 12 languages (English, German, Spanish, French, Italian, Japanese, Korean, Dutch, Polish, Portugese, Russian, Chinese)\n- [Collect OCR training data](docs/data_annotation.md) and annotate it with a built-in tool\n\nPrice: FREE.\n\n## Usage\n\nVery short video tutorials:\n\n\u003cdiv\u003e\n\u003ca href=\"https://youtu.be/wMNolI0w0tE\" target=\"_blank\"\u003e\u003cimg src=\"docs/image-16.png\" width=\"30%\"/\u003e\u003c/a\u003e\n\u003ca href=\"https://youtu.be/ACY4-yT3x84\" target=\"_blank\"\u003e\u003cimg src=\"docs/image-17.png\" width=\"30%\"/\u003e\u003c/a\u003e\n\u003ca href=\"https://youtu.be/yowoYzBWrps\" target=\"_blank\"\u003e\u003cimg src=\"docs/image-18.png\" width=\"30%\"/\u003e\u003c/a\u003e\n\u003ca href=\"https://youtu.be/ptR-Yh5FSPg\" target=\"_blank\"\u003e\u003cimg src=\"docs/image-19.png\" width=\"30%\"/\u003e\u003c/a\u003e\n\u003ca href=\"https://youtu.be/QO76EFmJ7Ig\" target=\"_blank\"\u003e\u003cimg src=\"docs/image-23.png\" width=\"30%\"/\u003e\u003c/a\u003e\n\u003c/div\u003e\n\nAdditional guides:\n\n- [How to use the internal HTTP server](docs/http_server.md)\n- [How to connect to vMix](docs/vmix.md)\n- [How to send API requests to external services](docs/out_api.md)\n- [How to collect and annotate OCR training data](docs/data_annotation.md)\n\n## Installation\n\nSee the [releases](https://github.com/occ-ai/scoresight/releases) page for downloadable executables and installers.\n\nSee the [Install Guide](docs/INSTALL.md) for help with installation.\n\n## Running and Building from Source\n\n### Prerequisites\n\n- Python 3.11\n- git\n\n### Procedure\n\n1. Clone the repository:\n\n  ```shell\n  git clone https://github.com/occ-ai/scoresight.git\n  ```\n\n2. Install the required dependencies:\n\n  ```shell\n  pip install -r requirements.txt\n  ```\n\nFor Mac and Windows there are further dependencies in `requirements-mac.txt` and `requirements-win.txt`\n\n3. Create a `.env` file. See the contents of the file in the `.github/worksflows/build.yaml` file\n\n### Windows\n\nThere are some extra steps for installation on Windows:\n - Download and install https://visualstudio.microsoft.com/visual-cpp-build-tools/ C++ Build Tools\n - Build the win32DeviceEnum pyd by `$ cd src/win32DeviceEnum \u0026\u0026 python.exe setup.py build_ext --inplace`\n\n#### MacOS\n\nOn Mac, and particularly on Arm64, you will need to install dependencies manually.\nThis is reflected in the ./github/actions/build.yaml file.\n\n1. [cyndilib](https://github.com/nocarryr/cyndilib)\n\nGet the project from the repo and build it locally\n```\n$ git clone https://github.com/nocarryr/cyndilib.git\n$ cd cyndilib\n$ pip install setuptools numpy cython\n$ pip install .\n```\n\n2. [tesserocr](https://github.com/sirfz/tesserocr)\n\nGet the project from the repo and built it locally.\nThis assumes you have Homewbrew in `/opt/homebrew` but if it's in `/usr/local` then there's no need for the extra flagging.\n\n```\n$ git clone https://github.com/sirfz/tesserocr.git\n$ cd tesserocr\n$ /opt/homebrew/brew install tesseract leptonica\n$ PATH=\"$PATH:/opt/homebrew/bin\" CPPFLAGS=\"-I/opt/homebrew/include -L/opt/homebrew/lib\" python3 -m pip install --no-binary tesserocr tesserocr\n```\n\n### Running from source\n\n1. Compile the UI files into Python:\n\n    ```powershell\n    ./scripts/compile_ui.ps1\n    ```\n\n1. Launch the application:\n\n    ```shell\n    python main.py\n    ```\n\n1. Follow the on-screen instructions to load an image of the scoreboard and extract the text.\n\n### Build an executable\n\nYou may want to build a distributable .exe or .app or even an installer, this is possible with [PyInstaller](https://github.com/pyinstaller/pyinstaller).\n\nTo build the executable run PyInstaller.\n\n#### MacOS\n\n```\npyinstaller --clean --noconfirm scoresight.spec -- --mac_osx\n```\n\n#### Windows\n\n```\npyinstaller --clean --noconfirm scoresight.spec -- --win\n```\n\n#### Linux\n\n```\npyinstaller --clean --noconfirm scoresight.spec\n```\n\n\n## Contributing\n\nContributions are welcome! If you would like to contribute to this project, please follow these steps:\n\n1. Fork the repository.\n2. Create a new branch for your feature or bug fix.\n3. Make your changes and commit them.\n4. Push your changes to your forked repository.\n5. Submit a pull request.\n\n## License\n\nThis project is released under the MIT license.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Froyshil%2Fscoresight","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Froyshil%2Fscoresight","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Froyshil%2Fscoresight/lists"}