liuzhao1225/youdub-webui

Open-source AI video localization and dubbing for YouTube/Bilibili: speech recognition, subtitle translation, voice cloning, audio mixing and rendering. 开源...

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Summary Information

Updated 39 minutes ago
Added to GitGenius on September 12th, 2026
Created on December 26th, 2023
Open Issues & Pull Requests: 6 (+0)
GitHub issues: Enabled
Number of forks: 596
Total Stargazers: 5,465 (+0)
Total Subscribers: 35 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 14.4 days
Mean response time: 172.8 days
90th percentile: 635.9 days
Tracked items: 65

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 15% of issues opened in the past year have been closed. Three people close 95% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 5
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 56 days
Stale 30+ days: 3
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

YouDub WebUI is an open-source video localization tool that automates the process of translating and dubbing videos from platforms like YouTube and Bilibili into target languages.

The tool addresses the workflow of content creators who need to reach multilingual audiences. It ingests a video, performs speech recognition to extract dialogue, translates the recognized text, and then generates dubbed audio in the target language while preserving background music and sound effects. The pipeline separates vocal and background audio tracks, synthesizes new speech using voice cloning, mixes the components, and outputs the final video with options for hardcoded subtitles, dubbed audio only, or both combined.

The project is most mature for English-to-Chinese dubbing of YouTube content and supports Chinese-to-English dubbing for Bilibili videos. Local video processing with Japanese-to-Chinese translation has been integrated with automated parameter chains and regression testing, though real-world Japanese media validation remains incomplete. Creators seeking a self-hosted, locally-controlled localization pipeline with straightforward architecture suitable for personal modification and debugging should consider this tool. The README does not compare it to alternative solutions.

The project demonstrates active real-world validation through the author's Bilibili channel, where all published content across multiple genres is generated using this tool. Development maintains a focus on preserving architectural simplicity to enable understanding and secondary development by individual creators and small teams rather than pursuing maximum feature complexity.