base on Advanced real-time screen translator for games, hardcoded subtitles in videos, static text and etc. [](https://opensource.org/licenses/Apache-2.0) []() <a href="https://trello.com/b/MEHnLySw/translumo"><img src="https://img.shields.io/badge/Trello-0052CC?style=for-the-badge&logo=trello&logoColor=white"></a> <p align="center"> <img width="670" src="https://github.com/Danily07/Translumo/assets/29047281/8985049f-ea1c-428e-94be-042ece66cb54"> </p> <p align="center"><b>EN</b> | <a href="docs/README-RU.md"><b>RU</b></a></p> <p align="center">Advanced screen translator. <b>Translumo</b> is able to detect and translate appearing in the selected area text in real-time (e.g. subtitles).</p> <h1>Main features</h1> <ul> <li><b>High text recognition precision</b></li> <p>Translumo allows to combine the usage of several OCR engines simultaneously. It uses machine learning training model for scoring each recognized result by OCR and chooses the best one.</p> <p align="center"> <img width="740" src="https://github.com/Danily07/Translumo/assets/29047281/649e5fab-a5de-4c54-a3d8-f7ea95b8f218"> </p> <li><b>Simple interface</b></li> The main idea was to make tool, that does not require manual adjustments for each case and convenient for everyday use. <li><b>Low latency</b></li> There are several implemented optimizations to reduce impact on system performance and minimize latency between the moment a text appears and actual translation. <li><b>Integrated modern OCR engines:</b> Tesseract 5.2, WindowsOCR, EasyOCR</li> <li><b>Available translators:</b> Google Translate, Yandex translate, Naver Papago, DeepL</li> <li><b>Available recognition languages:</b> English, Russian, Japanese, Chinese (simplified), Korean</li> <li><b>Available translation languages:</b> English, Russian, Japanese, Chinese (simplified), Korean, French, Spanish, German, Portuguese, Italian, Vietnamese, Thai, Turkish, Arabic</li> </ul> <h1>System requirements</h1> <ul> <li>Windows 10 build 19041 (20H1) / Windows 11</li> <li>DirectX11</li> <li>8 GB RAM <i>(for mode with EasyOCR)</i></li> <li>5 GB free storage space <i>(for mode with EasyOCR)</i></li> <li>Nvidia GPU with CUDA SDK 11.8 support (GTX 750, 8xxM, 9xx series or later) <i>(for mode with EasyOCR)</i></li> </ul> <h1>How to use</h1> <img src="https://github.com/Danily07/Translumo/blob/7f4a73ffba0e5a0090ea0bfc3d72acb99832a0f4/docs/preview-EN.gif"> <ol> <li>Open the Settings</li> <li>Select Languages->Source language and Languages->Translation language</li> <li>Select Text recognition->Engines (please check Usage tips for recommendation modes)</li> <li>Select capture area</li> <li>Run translation</li> </ol> <h1>Usage tips</h1> Generally, I recommend always keep Windows OCR turned on. This is the most effective OCR for the primary text detection with less impact on performance. <h3>Recommended combinations of OCR engines</h3> <ul> <li><b>Tesseract-Windows OCR-EasyOCR</b> - advanced mode with the highest precision</li> <li><b>Tesseract-Windows OCR</b> - noticeably less impact on system performance. It will be enough for cases when text has simple solid background and font is quite common</li> <li><b>Windows OCR-EasyOCR</b> - for very specific complex cases it makes sense to disable Tesseract and avoid unnecessary text noises</li> </ul> <h3>Select minimum capture area</h3> <p>It reduces chances of getting into the area random letters from background. Also the larger frame will take longer to process.</p> <h3>Use proxy list to avoid blocking by translation services</h1> <p>Some translators sometimes block client for a large number of requests. You can configure personal/shared IPv4 proxies (1-2 should be enough) on <b>Languages->Proxy tab</b>. The application will alternately use proxies for requests to reduce number from one IP address.</p> <h3>Use Borderless/Windowed modes in games (not Fullscreen)</h3> <p>It is necessary to display the translation window overlay correctly.</p> <p>If the game doesn't have such mode, you can use external tools to make it borderless (e.g. <a href="https://github.com/Codeusa/Borderless-Gaming">Borderless Gaming</a>)</p> <h3>Install the application on SSD</h3> <p>To reduce cold launch time with enabled EasyOCR engine (loading large EasyOCR model into RAM).</p> <h1>FAQ</h3> <h4>I got error "Failed to capture screen" or nothing happens after translation starts</h4> <p>Make sure that target window with text is active. Also try to restart Translumo or reopen target window.</p> <h4>I got error "Text translation is failed" after successful using the translation</h4> <p>There is a high probability that translation service temporarily blocked requests from your IP. You can change translator or configure proxy list.</p> <h4>Can't enable Windows OCR</h4> <p>Make sure that the application is runned as an Administrator. Translumo each time tries check installed Windows language pack via PowerShell.</p> <h4>I set borderless/windowed mode, but a translation window is still displayed under a game</h4> <p>When game is running and focused use the hotkey (ALT+T by default) to hide and then show again translation window</p> <h4>Package downloading for EasyOCR failed</h4> <p>Try to re-install it under VPN</p> <h4>Hotkeys don't work</h4> <p>Other applications may intercept specific hotkeys handling</p> <h4>I got error "Text detection is failed (TesseractOCREngine)"</h4> <p>Make sure that the application path contains only latin letters.</p> <h1>Build</h1> <p><i>Visual Studio 2022 and .NET 7 SDK are required</i></p> <ul> <li>Clone repository (<b>master</b> branch always equals last release version):</li> ```bash git clone https://github.com/Danily07/Translumo.git ``` <li>Restore packages and build a solution. <b>binaries_extract.bat</b> will be executed during building, which will automatically download models and python binaries to target output directory.</li> </ul> <h1>Credits</h1> <ul> <li><a href="https://github.com/MaterialDesignInXAML/MaterialDesignInXamlToolkit">Material Design In XAML Toolkit</a></li> <li><a href="https://github.com/charlesw/tesseract">Tesseract .NET wrapper</a></li> <li><a href="https://github.com/shimat/opencvsharp">Opencvsharp</a></li> <li><a href="https://github.com/pythonnet/pythonnet">Python.NET</a></li> <li><a href="https://github.com/JaidedAI/EasyOCR">EasyOCR</a></li> <li><a href="https://github.com/snakers4/silero-models">Silero TTS</a></li> </ul> ", Assign "at most 3 tags" to the expected json: {"id":"1781","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"