base on Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team | Netflix级字幕切割、翻译、对齐、甚至加上配音，一键全自动视频搬运AI字幕组 <div align="center"> <img src="/docs/logo.png" alt="VideoLingo Logo" height="140"> # Connect the World, Frame by Frame <a href="https://trendshift.io/repositories/12200" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12200" alt="Huanshere%2FVideoLingo | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> [**English**](/README.md)｜[**简体中文**](/translations/README.zh.md)｜[**繁體中文**](/translations/README.zh-TW.md)｜[**日本語**](/translations/README.ja.md)｜[**Español**](/translations/README.es.md)｜[**Русский**](/translations/README.ru.md)｜[**Français**](/translations/README.fr.md) </div> ## 🌟 Overview ([Try VL Now!](https://videolingo.io)) VideoLingo is an all-in-one video translation, localization, and dubbing tool aimed at generating Netflix-quality subtitles. It eliminates stiff machine translations and multi-line subtitles while adding high-quality dubbing, enabling global knowledge sharing across language barriers. Key features: - 🎥 YouTube video download via yt-dlp - **🎙️ Word-level and Low-illusion subtitle recognition with WhisperX** - **📝 NLP and AI-powered subtitle segmentation** - **📚 Custom + AI-generated terminology for coherent translation** - **🔄 3-step Translate-Reflect-Adaptation for cinematic quality** - **✅ Netflix-standard, Single-line subtitles Only** - **🗣️ Dubbing with GPT-SoVITS, Azure, OpenAI, and more** - 🚀 One-click startup and processing in Streamlit - 🌍 Multi-language support in Streamlit UI - 📝 Detailed logging with progress resumption Difference from similar projects: **Single-line subtitles only, superior translation quality, seamless dubbing experience** ## 🎥 Demo <table> <tr> <td width="33%"> ### Dual Subtitles --- https://github.com/user-attachments/assets/a5c3d8d1-2b29-4ba9-b0d0-25896829d951 </td> <td width="33%"> ### Cosy2 Voice Clone --- https://github.com/user-attachments/assets/e065fe4c-3694-477f-b4d6-316917df7c0a </td> <td width="33%"> ### GPT-SoVITS with my voice --- https://github.com/user-attachments/assets/47d965b2-b4ab-4a0b-9d08-b49a7bf3508c </td> </tr> </table> ### Language Support **Input Language Support(more to come):** 🇺🇸 English 🤩 | 🇷🇺 Russian 😊 | 🇫🇷 French 🤩 | 🇩🇪 German 🤩 | 🇮🇹 Italian 🤩 | 🇪🇸 Spanish 🤩 | 🇯🇵 Japanese 😐 | 🇨🇳 Chinese* 😊 > *Chinese uses a separate punctuation-enhanced whisper model, for now... **Translation supports all languages, while dubbing language depends on the chosen TTS method.** ## Installation You don't have to read the whole docs, [**here**](https://share.fastgpt.in/chat/share?shareId=066w11n3r9aq6879r4z0v9rh) is an online AI agent to help you. > **Note:** For Windows users with NVIDIA GPU, follow these steps before installation: > 1. Install [CUDA Toolkit 12.6](https://developer.download.nvidia.com/compute/cuda/12.6.0/local_installers/cuda_12.6.0_560.76_windows.exe) > 2. Install [CUDNN 9.3.0](https://developer.download.nvidia.com/compute/cudnn/9.3.0/local_installers/cudnn_9.3.0_windows.exe) > 3. Add `C:\Program Files\NVIDIA\CUDNN\v9.3\bin\12.6` to your system PATH > 4. Restart your computer > **Note:** FFmpeg is required. Please install it via package managers: > - Windows: ```choco install ffmpeg``` (via [Chocolatey](https://chocolatey.org/)) > - macOS: ```brew install ffmpeg``` (via [Homebrew](https://brew.sh/)) > - Linux: ```sudo apt install ffmpeg``` (Debian/Ubuntu) 1. Clone the repository ```bash git clone https://github.com/Huanshere/VideoLingo.git cd VideoLingo ``` 2. Install dependencies(requires `python=3.10`) ```bash conda create -n videolingo python=3.10.0 -y conda activate videolingo python install.py ``` 3. Start the application ```bash streamlit run st.py ``` ### Docker Alternatively, you can use Docker (requires CUDA 12.4 and NVIDIA Driver version >550), see [Docker docs](/docs/pages/docs/docker.en-US.md): ```bash docker build -t videolingo . docker run -d -p 8501:8501 --gpus all videolingo ``` ## APIs VideoLingo supports OpenAI-Like API format and various TTS interfaces: - LLM: `claude-3-5-sonnet-20240620`, `deepseek-chat(v3)`, `gemini-2.0-flash-exp`, `gpt-4o`, ... (sorted by performance) - WhisperX: Run whisperX locally or use 302.ai API - TTS: `azure-tts`, `openai-tts`, `siliconflow-fishtts`, **`fish-tts`**, `GPT-SoVITS`, `edge-tts`, `*custom-tts`(You can modify your own TTS in custom_tts.py!) > **Note:** VideoLingo works with **[302.ai](https://gpt302.saaslink.net/C2oHR9)** - one API key for all services (LLM, WhisperX, TTS). Or run locally with Ollama and Edge-TTS for free, no API needed! For detailed installation, API configuration, and batch mode instructions, please refer to the documentation: [English](/docs/pages/docs/start.en-US.md) | [中文](/docs/pages/docs/start.zh-CN.md) ## Current Limitations 1. WhisperX transcription performance may be affected by video background noise, as it uses wav2vac model for alignment. For videos with loud background music, please enable Voice Separation Enhancement. Additionally, subtitles ending with numbers or special characters may be truncated early due to wav2vac's inability to map numeric characters (e.g., "1") to their spoken form ("one"). 2. Using weaker models can lead to errors during intermediate processes due to strict JSON format requirements for responses. If this error occurs, please delete the `output` folder and retry with a different LLM, otherwise repeated execution will read the previous erroneous response causing the same error. 3. The dubbing feature may not be 100% perfect due to differences in speech rates and intonation between languages, as well as the impact of the translation step. However, this project has implemented extensive engineering processing for speech rates to ensure the best possible dubbing results. 4. **Multilingual video transcription recognition will only retain the main language**. This is because whisperX uses a specialized model for a single language when forcibly aligning word-level subtitles, and will delete unrecognized languages. 5. **Cannot dub multiple characters separately**, as whisperX's speaker distinction capability is not sufficiently reliable. ## 📄 License This project is licensed under the Apache 2.0 License. Special thanks to the following open source projects for their contributions: [whisperX](https://github.com/m-bain/whisperX), [yt-dlp](https://github.com/yt-dlp/yt-dlp), [json_repair](https://github.com/mangiucugna/json_repair), [BELLE](https://github.com/LianjiaTech/BELLE) ## 📬 Contact Me - Submit [Issues](https://github.com/Huanshere/VideoLingo/issues) or [Pull Requests](https://github.com/Huanshere/VideoLingo/pulls) on GitHub - DM me on Twitter: [@Huanshere](https://twitter.com/Huanshere) - Email me at: [email protected] ## ⭐ Star History [](https://star-history.com/#Huanshere/VideoLingo&Timeline) --- <p align="center">If you find VideoLingo helpful, please give me a ⭐️!</p> ", Assign "at most 3 tags" to the expected json: {"id":"12200","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"