This project addresses a common bottleneck for cross-posting video content at scale: stitching together downloading, speech-to-text, subtitle translation and QC, AI metadata generation, content moderation, and platform uploads into a single maintainable pipeline. It shifts manual reposting tasks into configurable automation while keeping human-in-the-loop controls for review and safety.
What Sets It Apart
- Integrated AI steps so you can run ASR (Whisper/Voxtral), subtitle translation, AI-based subtitle QC, and AI-generated titles/descriptions/tags in one flow — so what: reduces repetitive manual editing and speeds up multilingual reposting.
- Platform-specific automation: built-in AcFun/bilibili upload modules, QR/Cookie login support and CookieCloud sync — so what: lowers the friction of platform authentication and supports scheduled monitoring of channels/keywords.
- Deployment-friendly design: Docker-first with optional local mode, hardware-accelerated encoding (HEVC fallback to H.264), and configurable concurrency — so what: fits small self-hosted servers to GPU-enabled instances without heavy rewrites.
- Safety and observability: password protection, brute-force lockout, content-moderation hooks (Aliyun Green), and async notification channels — so what: makes unattended automation safer and auditable.
Who It's For and Tradeoffs
Great fit if you need to repeatedly repost multilingual YouTube content to Chinese video platforms and want automation for subtitles and metadata while preserving manual audit gates. Not ideal if you require strict platform compliance/legal guarantees from the upstream content owner or need a zero-dependency hosted SaaS; it’s self-hosted, requires valid cookies/API keys, and may need tuning for large-volume or highly regulated pipelines.
