fqscfqj/y2a-auto

YouTube到AcFun和bilibili自动化搬运工具,支持AI翻译、字幕生成、内容审核、智能监控

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Summary Information

Updated 36 minutes ago
Added to GitGenius on September 20th, 2026
Created on May 10th, 2025
Open Issues & Pull Requests: 12 (+0)
GitHub issues: Enabled
Number of forks: 576
Total Stargazers: 3,369 (+0)
Total Subscribers: 15 (+0)

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Issue Activity (beta)

Open issues: 12
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 65 days
Stale 30+ days: 10
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

Top labels

  • enhancement (1)

Detailed Description

y2a-auto is a content migration tool that automates the transfer of videos from YouTube to AcFun and Bilibili with integrated AI capabilities.

The tool addresses the workflow of content creators and channels that want to repurpose YouTube videos across Chinese video platforms. It handles the end-to-end process of downloading videos, generating subtitles, translating content using AI, performing content moderation checks, and monitoring uploads. The approach automates repetitive tasks that would otherwise require manual intervention at each platform, reducing the time and effort needed to maintain presence across multiple services.

Developers considering adoption should understand that this tool targets creators managing multi-platform distribution strategies, particularly those publishing to both AcFun and Bilibili simultaneously. It suits workflows where subtitle generation and AI translation are valuable additions to the migration process. The project is specifically designed for the YouTube-to-Chinese-platforms use case and does not attempt to serve broader video migration scenarios.

The project shows active development with regular commits addressing bug fixes and feature improvements. Work spans multiple functional areas including subtitle generation, translation systems, and platform integration logic, indicating ongoing refinement across the tool's core capabilities. The codebase receives updates that suggest the maintainers are responding to issues and expanding functionality based on practical usage.