VideoLingo — One-click AI-powered video subtitle team for Netflix-level quality
Overview
VideoLingo is a comprehensive video translation, localization, and dubbing tool that aims to produce high-quality subtitles and dubbing akin to Netflix standards. It stands out with its single-line subtitle focus, superior translation quality, and seamless dubbing experience, all powered by AI and NLP technologies.
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
Use Cases
- Content creators looking to expand their audience globally by providing subtitles and dubbing in multiple languages.
- Educational institutions needing to localize video content for a diverse student body.
- Enterprises needing to provide multilingual support for training and informational videos.
Advantages
- Streamlines the process of video localization with a single-click solution.
- Utilizes advanced AI and NLP to ensure high-quality translations and dubbing.
- Supports a wide range of languages, enhancing global accessibility.
Limitations / Considerations
- May require specific technical setup, especially for Windows users with NVIDIA GPUs.
- The quality of AI-generated subtitles and dubbing can vary depending on the source material and language complexity.
- The project's license is currently unknown, which may affect its use in commercial applications.
Similar / Related Projects
- Subtitle Edit: A free, open-source editor for video subtitles, differing in that it is more manual and does not offer AI-powered features.
- Aegisub: A free, open-source subtitle editor that provides more control over subtitle creation but lacks the automation and AI capabilities of VideoLingo.
- SRT2ASS: A tool to convert SRT subtitles to ASS/SSA format, which is more focused on format conversion rather than the comprehensive localization offered by VideoLingo.
Basic Information
- GitHub: VideoLingo
- Stars: 14,922
- License: Unknown
- Last Commit: 2025-09-10
📊 Project Information
- Project Name: VideoLingo
- GitHub URL: https://github.com/Huanshere/VideoLingo
- Programming Language: Python
- ⭐ Stars: 14,922
- 🍴 Forks: 1,531
- 📅 Created: 2024-08-09
- 🔄 Last Updated: 2025-09-10
🏷️ Project Topics
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🔗 Related Resource Links
📚 Documentation
🎥 Video Tutorials
🌐 Related Websites
This article is automatically generated by AI based on GitHub project information and README content analysis