AutoClip is an open-source AI video clipping and highlight generation tool. It imports long videos, uses AI to analyze subtitles, identifies highlight segments, and automatically cuts them into short videos and compilations. It is positioned for interviews, podcasts, courses, talking-head videos, and livestream replays, and is offered as a desktop application, a Docker web interface, and a CLI / MCP for interactive or batch use. Input can come from local video files, YouTube or Bilibili links, optionally accompanied by SRT subtitles; when no subtitles exist, local Whisper transcription can be used. The system generates an outline and topic timeline from subtitles, scores segments, and extracts titles. It automatically produces clips, allows previewing results, and lets users adjust compilation order. Export presets are provided for Douyin, Xiaohongshu, YouTube Shorts, and Bilibili, with support for burning in subtitles and title cards. Model support includes cloud services such as Qwen, OpenAI-compatible interfaces, and Gemini, as well as local models through Ollama or LM Studio. The interface supports Chinese, English, Japanese, Korean, Spanish, Portuguese, Russian, and French, switchable from the top bar or following the system, while source material and generated content keep their original language. AutoClip is free and open source under the MIT license.

Teams use AutoClip to import long videos from local files, YouTube, or Bilibili links, optionally with SRT subtitles.
Teams use AutoClip to generate outlines and topic timelines from subtitles and to score segments and extract titles.
Teams use AutoClip to automatically generate clips, preview results, and adjust compilation order as needed.
Teams use AutoClip to export to Douyin, Xiaohongshu, YouTube Shorts, and Bilibili presets with burned-in subtitles and title cards.
Teams use AutoClip to orchestrate batch tasks via CLI or call video processing capabilities through MCP.
Teams use AutoClip to work with cloud services such as Qwen, OpenAI-compatible interfaces, and Gemini, or local models via Ollama / LM Studio.
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