Linly-Dubbing vs pyVideoTrans
Linly-Dubbing
github.compyVideoTrans
pyvideotrans.comSide by side
| Figure | Linly-Dubbing | pyVideoTrans |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · AI Dubbing Software | 7.6 (#21) | 8.3 (#9) |
Plans
In their own words
Linly-Dubbing
Linly-Dubbing is an open-source tool for translating and dubbing videos into Chinese and other languages. It combines speech recognition and speaker recognition with translation options using OpenAI models, locally run Qwen, or Google Translate. Documented voice synthesis choices include Edge TTS, XTTS, CosyVoice, and GPT-SoVITS; voice cloning can generate speech resembling the original video's voice. Linly-Talker lip-sync technology aligns dubbed speech with the video. The tool can add subtitles and background music, adjust music volume, change playback speed, separate vocals from accompaniment, and download video and audio through yt-dlp. Setup instructions describe a local WebUI and use of Python 3.10, PyTorch 2.3.1, and CUDA 11.8 or 12.1, with Windows and Linux model-download instructions. A Colab script is also linked for online use. Installation requires configuring dependencies, downloading models, and setting environment variables, and may use external service credentials depending on configuration. The project is licensed under Apache License 2.0; its releases page lists no releases.
pyVideoTrans
pyVideoTrans is free, open-source software for translating videos that contain clear human speech. It automates speech recognition, subtitle translation, AI dubbing, and video assembly to produce translated audio and subtitles. It also supports batch transcription into timed SRT files, subtitle dubbing, and batch SRT translation while preserving timestamps and formatting. The project offers a desktop GUI, WebUI, and command-line interface, with documentation for remote access, server deployment, and Docker use. It lists more than 30 channels, including Faster-Whisper, F5-TTS, Qwen3-ASR, and Edge-TTS, with local offline and online API options. Source deployment instructions cover macOS, Linux, and Windows, and a Windows 10/11 package is provided. The software is described as having no feature limits or login requirement under GPL-V3. Third-party API use may incur separate charges, and users provide their own accounts and keys.