Ross ROSS = Recommend OSS · open-source software intelligence for agents

zhouxiaoka/autoclip

AutoClip|一个链接,一键出片。开源 AI 视频剪辑桌面工具,将播客、访谈、课程等长视频自动剪成短视频,生成字幕、封面和发布文案,适配抖音、小红书、TikTok、Reels 与 YouTube Shorts。Open-source AI video clipping & content repurposing. observed · 2026-10-20

github.com/zhouxiaoka/autoclip · homepage · Python · MIT (permissive) observed · 2026-10-20

Health v2 · maintenance only

86/100

  • Activity 100
  • Release rhythm 99
  • Longevity 33
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 1
  • age_days: 469
  • days_rel: 11
  • days_push: 1
  • n_releases_24m: 14

Full methodology

Adoption not part of the score

9577 stars · 1717 forks observed · 2026-10-20

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

AutoClip is a self-hosted AI-powered video clipping system that downloads videos from YouTube and Bilibili, uses LLM-based content analysis to detect highlight moments, and automatically cuts them into clips with generated titles and smart collections. It uses a FastAPI + Celery + Redis backend with a React/TypeScript web interface and Docker deployment.

Use cases

  • automatically extract highlight clips from long videos
  • clip livestream replays into short highlights
  • generate clips from YouTube or Bilibili videos
  • slice course videos into knowledge-point segments
  • auto-generate titles for video clips
  • organize clips into smart collections

When to choose

  • you want fully automated AI highlight extraction from long-form video
  • you need a self-hosted pipeline with async processing and a web UI
  • you create derivative content for YouTube/Bilibili and want clipping automated

When to avoid

  • you need fine-grained manual video editing with a timeline editor
  • you require guaranteed frame-accurate professional editing output
  • you don't want to run Docker/Redis or depend on third-party LLM APIs

Facets

application · maturity active

video-processing machine-learning llm-inference web-framework streaming workflow-automation artificial-intelligence media web-development windows python self-hosted video-clipping highlight-detection yt-dlp celery fastapi react subtitle-analysis content-creation bilibili youtube-downloader video automation docker web-server linux macos nodejs

2 sources

Member repositories

RepositoryRoleHealth v2
zhouxiaoka/autoclipmain86

For agents

markdown · JSON · MCP: product_card(name="zhouxiaoka/autoclip")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem