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AutoClip

by Kris KAppMake video or audio

Turns a long interview, podcast or course video into captioned short clips with post copy

View on GitHub

The problem it solves

Your two-hour podcast has five great moments, and finding, cutting and captioning each one for Shorts eats your whole weekend.

For PodcastersCourse creatorsCreators reusing interviews

Before
You scrub the timeline for good moments, reframe each one for vertical video, add captions and write post text by hand.
After
You paste a link or import a file, pick a platform, and get clips with captions, a cover, a title, a description and hashtags.
Stars
★ 9.9k
License
MIT
Cost
Usage-based
Platforms
Mac · Win · Linux
Runs
Local · Self-hosted

Screenshots

From the project's own repository.

The export dialog for choosing a platform, burned-in captions and a title card
Image: Kris K (MIT). Original file

Overview

AutoClip is a desktop app that cuts long videos into short clips for social platforms. You paste a video link or import a file and pick a platform such as Douyin, Xiaohongshu, TikTok, Reels, YouTube Shorts, Bilibili or YouTube; it picks the moments, cuts and frames them, adds captions, and gives each clip a cover, title, description and hashtags. Cutting and rendering run on your computer, and the analysis uses an AI model you connect. It suits podcasters, course makers and creators reusing interviews.

It returns finished clips with a cover and post text in one pass, and you can still open each clip in its editor to adjust it.

Try these first

Start with the first one: it is a small task you can check easily.

  1. Import a captioned interview you own, choose YouTube Shorts, and check the first clip's captions and ending.First try · uses model credits

  2. Paste a Bilibili or YouTube link to your own talk and choose Xiaohongshu with the interview layout.uses model credits

  3. Open a clip in the editor, change its title template and turn off the title card, then export it again.

  4. In Settings, connect Ollama or LM Studio and run the same video with a local model.

Example prompts written by Agent Flows Hub.

Features

From the creator's documentation.

FeatureWhat it doesRuns
Link or file importPaste a Bilibili or YouTube link, or import a video fileYour computer
Platform presetsFrame and length rules for Douyin, Xiaohongshu, TikTok, Reels, Shorts, Bilibili and YouTubeYour computer
Clip pickingAn AI model ranks moments and up to 10 clips per platform are renderedYour model provider
Publish kitEach clip comes with a cover, title, description, hashtags and a ZIP kitYour computer
EditorAdjust title templates, captions, translation and sound before exportYour computer
PublishingPost directly after you connect a Bilibili or Upload-Post accountYour accounts

Good to know

You recorded or found a long interview and want several short vertical clips for one platform. AutoClip picks the moments, frames the speaker, burns in captions and writes a cover, title, description and hashtags for each clip.

Limits

  • Cloud analysis sends captions and post text to your model provider, and cloud transcription sends audio. Local models through Ollama or LM Studio avoid that but need suitable hardware.
  • A brand outro is added by default; turn it off in Settings. Interviews, podcasts, courses and talking-head videos are the main use; low-dialogue footage needs an image-capable model.
  • The desktop builds may be unsigned, so macOS or Windows can block the first launch. The installation guide says to check the download came from the project's Releases page and follow that release's notes.

Notes by (original project name: AutoClip), written from the creator's documentation, not from running it ourselves. AutoClip README (English) · AutoClip installation guide

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