What is AutoClip used for?

AutoClip is an open-source desktop tool that automatically turns long videos like podcasts and interviews into platform-ready short clips with subtitles, covers, and captions. It is a good fit for turn long-form podcasts, interviews and courses into short vertical videos; repurpose content for Douyin, Xiaohongshu, TikTok, Reels and YouTube Shorts; and produce ready-to-publish clips with captions, covers and captions text.

Is AutoClip open source?

Yes. AutoClip is open source under the MIT licence. Its source code is on GitHub at zhouxiaoka/autoclip and is written mainly in Python.

Yes. AutoClip is open source, so the software itself is free to use.

Can I self-host AutoClip?

Yes. AutoClip can be self-hosted on your own server or infrastructure.

What is AutoClip an alternative to?

AutoClip is an open-source alternative to Opus Clip. Other open-source alternatives to Opus Clip include FunClip, AI YouTube Shorts Generator and SupoClip.

Is AutoClip actively maintained?

Yes. The most recent commit to AutoClip was on 9 October 2026, and the latest release is v1.5.5, published on 6 October 2026. The project has 9.3k stars on GitHub.

AutoClip (zhouxiaoka/autoclip): open source

About AutoClip

AutoClip is an open-source desktop application that converts long-form videos such as podcasts, interviews, and courses into short clips. It accepts a link or local video, selects the most shareable segments, and packages them with subtitles, covers, and captions for platforms like Douyin, Xiaohongshu, TikTok, Reels, and YouTube Shorts.

The tool runs clipping and rendering locally, while cloud services are billed based on the model chosen. It supports multiple output platforms in one pass and includes features like speaker-following framing, automatic translation, and style selection based on content mood.

Key features

Paste a link or select a local video; choose target platforms (Douyin, Xiaohongshu, Bilibili, TikTok, Reels, Shorts, YouTube)
Reads full transcript in one pass and selects complete Q&A and viewpoint segments
Auto-framing that follows the speaker, with automatic translation and platform-specific styling
Generates a release package per clip: MP4, cover image, title, description and hashtags
Local editing and rendering; cloud services billed by actual usage
Supports macOS, Windows, Docker, CLI and MCP

Good fit for

Turn long-form podcasts, interviews and courses into short vertical videos
Repurpose content for Douyin, Xiaohongshu, TikTok, Reels and YouTube Shorts
Produce ready-to-publish clips with captions, covers and captions text

Built with: Python tools
Tags: ai-video; video-clipping; content-repurposing; open-source; desktop-app; subtitles

AutoClip: questions and answers

What is AutoClip used for?: AutoClip is an open-source desktop tool that automatically turns long videos like podcasts and interviews into platform-ready short clips with subtitles, covers, and captions. It is a good fit for turn long-form podcasts, interviews and courses into short vertical videos; repurpose content for Douyin, Xiaohongshu, TikTok, Reels and YouTube Shorts; and produce ready-to-publish clips with captions, covers and captions text.
Is AutoClip open source?: Yes. AutoClip is open source under the MIT licence. Its source code is on GitHub at zhouxiaoka/autoclip and is written mainly in Python.
Is AutoClip free?: Yes. AutoClip is open source, so the software itself is free to use.
Can I self-host AutoClip?: Yes. AutoClip can be self-hosted on your own server or infrastructure.
What is AutoClip an alternative to?: AutoClip is an open-source alternative to Opus Clip. Other open-source alternatives to Opus Clip include FunClip, AI YouTube Shorts Generator and SupoClip.
Is AutoClip actively maintained?: Yes. The most recent commit to AutoClip was on 9 October 2026, and the latest release is v1.5.5, published on 6 October 2026. The project has 9.3k stars on GitHub.