What is Linly-Dubbing
Linly-Dubbing is an open-sourceAI video translation and dubbing tool, supporting dubbing, translation, and lip sync. It can automatically translate video content into multiple languages and generate subtitles. It uses WhisperX and FunASR for accurate speech recognition, and performs high-quality speech synthesis based on technologies such as Edge TTS, XTTS, and CosyVoice. Linly-Dubbing performs subtitle translation using the OpenAI API and Qwen models, and through voice separation technology and lip-sync technology, video dubbing is natural and smooth,lip syncis accurate. Users can upload videos, choose the translation language, and achieve personalized multilingual dubbing. With Linly-Dubbing, it is easy to internationalize video content.
Main features of Linly-Dubbing
- Multilingual support: Provides dubbing and subtitle translation services for Chinese and many other languages, meeting the needs of different language markets.
- AI speech recognition: Uses WhisperX and FunASR technology to achieve accurate speech-to-text conversion, including speaker recognition.
- AI speech synthesis: Integrates tools such as Edge TTS, XTTS, and CosyVoice to generate natural and smooth speech output, supporting voice cloning.
- AI subtitle translation: Uses the OpenAI API, Qwen models, and Google Translate to ensure the accuracy and naturalness of translation.
- Voice separation: Can separate vocals and accompaniment, providing convenience for video post-production.
- Lip sync: Based on Linly-Talker technology, it achieves precise matching between the lip movements of virtual characters and the dubbing, improving the realism of the video.
- Video processing: Users can upload videos and customize subtitles, background music, volume, playback speed, etc., increasing the appeal of the video.
How to use Linly-Dubbing
- Environment preparation：Ensure that a Python environment is installed on the computer.Install the required dependency libraries and tools.
- Get the code：Visit Linly-Dubbing'sGitHub repository。Clone or download the project source code locally.
- Install dependencies：Install all necessary Python dependency packages according to the instructions in the project documentation.
- Configure the environment：Set environment variables, which may include API keys, model paths, etc.
- Download AI models：Download and load the required AI models, such as speech recognition, translation, and speech synthesis models.
- Use the Web interface：Start the project's Web user interface.
- Upload video：Upload the video file you want to translate and dub through the Web interface.
Linly-Dubbing project address
- GitHub repository：https://github.com/Kedreamix/Linly-Dubbing
Who uses Linly-Dubbing
- Content creators: Individuals or teams that need to translate video content into different languages to attract global audiences.
- Educational institutions: Schools or online education platforms that hope to localize teaching materials and provide them to students in different countries and regions.
- Video production companies: Production teams that add multilingual dubbing to film and television works, animations, documentaries, etc.
- Corporate marketing departments: Enterprises that need to translate product introductions, training materials, etc. into multiple languages to expand into international markets.
- Social media influencers: Social media users who want to increase their follower base and engagement in different language regions.