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autoclip
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autoclip

Active·★ 9.6k·MIT·Updated 2026-10-22
★ Trending

AutoClip is an open-source desktop tool that turns a long video (podcast, interview, course) into short clips. You paste a link and choose platforms (Douyin, Xiaohongshu, TikTok, Reels, YouTube Shorts, Bilibili, YouTube); it scores segments and produces up to 10 qualifying clips per platform, each with a cover, title, description, hashtags and a ZIP publish pack, and lists the rest as candidates you can render on demand.

Vertical output comes in an interview layout or a full-screen podcast layout, with framing that follows the speaker. Editing, framing and rendering run locally; captions come from author subtitles, local Whisper or SenseVoice, or a cloud transcription service, and the analysis model can be a cloud API or a local one served by Ollama or LM Studio. The desktop app, a CLI and an MCP server share the same pipeline.

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The README publishes its own measurements on an Apple Silicon Mac: a 1h43m subtitled interview produced 10 clips in 7.5 minutes for about ¥0.09 of qwen-plus usage, while an unsubtitled 2h52m video took 29.5 minutes. Those figures exclude cloud transcription and image generation costs. The software is free, cloud models are pay-as-you-go, and the license is MIT.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-22.

License
MIT
Latest release
v1.5.6 · 2026-10-09
Last commit
2026-10-22
Contributors
5
Forks
1,727
Open issues and PRs
34
First published
2025-07-08
PyPI package
autoclip-mcp 1.5.7 · 136 downloads last week

Source: GitHub, npm and PyPI public APIs.

#agent-framework#ai-agent#ai-video-editor#content-repurposing#desktop-app#douyin#instagram-reels#mcp
↗ Visit site★ GitHub
01

Features

01Up to 10 scored clips per platform, each with cover, title, description, hashtags and a ZIP publish pack
02Interview and full-screen podcast vertical layouts, with framing that follows the speaker
03Captions from author subtitles, local Whisper / SenseVoice or cloud transcription
04Choice of cloud or local analysis models (Ollama / LM Studio)
05Desktop app, CLI and MCP server share one pipeline
02

Why choose it

+Goes from one link to finished clips with cover, title, hashtags and a publish pack, so there is little manual packaging left.
+Rendering stays on your machine and both transcription and analysis can run fully local, keeping footage and cost under your control.
+Platform-aware defaults (aspect, duration, layout per platform) save re-cutting the same source for Douyin, TikTok and YouTube.
03

Trade-offs

!Clip selection quality depends on the analysis model you configure; local models may pick weaker segments than cloud ones.
!Videos without subtitles take several times longer because transcription has to run first.
!Repurposing other people's videos raises copyright questions the tool does not solve; the README itself notes source rights belong to the original creators.
04

Maintenance check

ActiveChecked: 2026-10-22
Last commit
2026-10-15
Commits, last 90 days
100+
Releases, last 90 days
14
Latest release
v1.5.6 (2026-10-09)
Open issues
31
Recent issues with at least one comment
1/4
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 0, 0, 0, 0, 0, 16, 0, 64, 194, 108, 33, 0

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

05

Compatibility

macOS / Windows
Desktop app
Verified via docs
MCP clients
CLI / MCP
Verified via docs
Ollama / LM Studio
Local models
Verified via docs
06

Use cases

↳Cutting a long podcast or interview into short clips for Douyin and TikTok
↳Repurposing course recordings for Xiaohongshu and YouTube Shorts
↳Letting an agent batch-process long videos through the CLI or MCP
07

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On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Use cases

Most discussed open issues

  • #247 [反馈] 内容切片:本地 Whisper 生成字幕失败。请到「设置 → 转写」确认模型已下载,并检查视频有可播放的音轨。但本地wh4 comments · 2026-09-30
  • #249 [反馈] ......3 comments · 2026-10-01
  • #266 [反馈] i have found a problem, when i put my api key and try to sav2 comments · 2026-10-03
  • #96 📌 当前状态 / 已知问题 / 怎么反馈(v1.5.5)2 comments · 2026-09-06
  • #434 Exported subtitles render in Noto Sans SC Thin (and boxed) instead of the bold captions shown in the editor preview1 comments · 2026-10-18

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

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07
Alternatives
zhouxiaoka /
autoclip
↗

Paste a long-video link, get platform-ready short clips with captions and post copy

9.6k1.7kMIT
Last commit1d ago
StatusActive
CategoryVision / Multimodal
Contributors5
Latest releasev1.5.6
Links
Documentation↗Discussion↗Issues↗Releases↗
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