Linly-Dubbing

C
C tier on AI Dubbing SoftwareScore 6.3 · #12 of 25
Android app
Not listed
Free plan
No
Runs on
Linux, self-hosted, Web, Windows
github.com
The Linly-Dubbing homepage

Summary

Linly-Dubbing is an open-source tool for translating and dubbing videos into multiple languages. Its documented workflow combines speech recognition and speaker identification with translation options including OpenAI models, locally run Qwen and Google Translate. Speech generation options include Edge TTS, XTTS, CosyVoice and GPT-SoVITS, while voice cloning can produce speech resembling the source video’s voice. Linly-Talker technology synchronizes dubbed audio with video visuals. The tool can add subtitles and background music, adjust music volume and playback speed, and separate vocals from accompaniment using Demucs or UVR5. Documentation also describes automatic downloads through yt-dlp, including from YouTube and other websites. Windows and Linux setup instructions use Python 3.10, PyTorch 2.3.1 and CUDA 11.8 or 12.1, with a local WebUI; a Colab script offers an online option. Depending on configuration, setup may require Hugging Face or other service credentials. The project is licensed under Apache License 2.0, and its releases page currently lists no releases. Users are advised to observe copyright, data protection and privacy laws and obtain rights-holder permission.

Who it is for

It suits users seeking a self-hosted or online workflow for video translation, voice generation and lip synchronization. Setup requires attention to the documented dependencies and may require external service credentials.

What is good

  • Offers several documented translation options.
  • Voice cloning can resemble the source voice.
  • Adds subtitles and background music.
  • Windows, Linux and Colab options are documented.

What to know first

  • Setup uses specific Python, PyTorch and CUDA versions.
  • Some configurations may require external credentials.
  • The releases page currently lists no releases.

Verdict

Linly-Dubbing combines translation, speech generation and video processing in an open-source project. Check the setup requirements and credential needs for the configuration you plan to use.

Compared on AI dubbing software

Lip synchronization
Yesgithub.com
Speaker matching
Yesgithub.com
Voice cloning
Yesgithub.com

Facts

Product
Linly-Dubbing is an open-source tool for multilingual AI video dubbing and translation.github.com · 4 Oct 2026
Speech recognition
It supports AI speech-to-text and speaker recognition, with WhisperX and FunASR described in the project documentation.github.com · 4 Oct 2026
Translation
The project describes translation through OpenAI models, locally run Qwen, and Google Translate.github.com · 4 Oct 2026
Voice synthesis
Documented speech synthesis options include Edge TTS, XTTS, CosyVoice, and GPT-SoVITS.github.com · 4 Oct 2026
Lip sync
It incorporates Linly-Talker digital-human lip-sync technology to synchronize dubbed speech with video visuals.github.com · 4 Oct 2026
Video processing
The tool can add subtitles and background music, adjust music volume, and change playback speed.github.com · 4 Oct 2026
Video downloads
The documentation describes automatic video downloading through yt-dlp, including support for YouTube and other websites.github.com · 4 Oct 2026
Vocal separation
The project documents Demucs and UVR5 for separating vocals and accompaniment.github.com · 4 Oct 2026
Setup
The documented setup uses Python 3.10, PyTorch 2.3.1, and CUDA 11.8 or 12.1, with local WebUI launch instructions.github.com · 4 Oct 2026
Windows and Linux
The README provides model-download instructions for Windows and Linux.github.com · 4 Oct 2026
Online option
The README links to a Colab script for an online experience.github.com · 4 Oct 2026
External credentials
Setup may use Hugging Face credentials and credentials for services such as OpenAI, Bytedance TTS, or Baidu, depending on configuration.github.com · 4 Oct 2026
Privacy and use
The project warns users to comply with copyright, data protection, and privacy laws and to obtain permission from rights holders.github.com · 4 Oct 2026
License and releases
The repository identifies the project as Apache License 2.0 and its releases page currently states that there are no releases.github.com · 4 Oct 2026

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