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Clipping

Auto-clip long videos into viral short-form content.

70 tools · 💎 34 hidden gems

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Start here

The most-starred projects in this category, plus a rotating pick of three more from deeper in the list — refreshed so the whole catalogue gets its turn in the window.

Clipping

WhisperX

WhisperX — Whisper transcription with word-level timestamps and speaker diarization: 70x realtime batched inference, forced phoneme alignment, BSD-2-Clause

★ 24.7k starsBSD-2-Clause
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Clipping

Toonflow App

Toonflow 是开源 AI 创作平台，融合无限画布、AI Agent 与可视化工作流，支持图像生成、视频生成、智能分镜及短剧创作。支持本地部署、自由接入模型，提供跨平台桌面端，并可通过 MCP 与插件扩展创作能力。Open-source AI creative…

★ 16.4k starsMIT
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Clipping

Duix Avatar

🚀 Truly open-source AI avatar(digital human) toolkit for offline video generation and digital human cloning

★ 15.6k starsCustom (check repo)
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Clipping

opensource-clipping

Full-featured auto-clipper with face tracking, karaoke captions, and uploaders.

★ 145 starsMIT
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Clipping

ViralMint

Local-first video pipeline: trend scouting, clipping, captioned shorts.

★ 122 starsAGPL-3.0
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More categories: VideoImageAudioAI MusicAI 3DLocal LLMAI ChatAI AgentsRAG & KnowledgeAutomationProductivityDev ToolsDesignWritingSelf-HostedEasy Install

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About Clipping tools

Clipping tools watch long videos — podcasts, streams, interviews, lectures — and cut out the moments most likely to work as short-form clips, adding captions, reframing to vertical, and sometimes ranking the moments by predicted engagement.

The open-source options here run the whole pipeline locally: transcription finds the moments, vision models reframe the shot, and caption generators burn in the subtitles. They trade the polish of hosted clippers for zero per-clip cost and full control of your footage.

How to choose

  • Caption quality decides whether a clip works — test the transcriber on your own footage before committing.
  • If you stream, prefer tools that watch recordings or folders automatically over ones needing manual uploads.
  • Vertical reframing that tracks the speaker matters more than fancy templates.
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Questions, answered

Which open-source Clipping tools are listed here?

This page collects 70 open-source Clipping projects curated by LibreAI — Auto-clip long videos into viral short-form content. Each one is verified on GitHub and has its own guide page with an overview, install steps, use cases, and an FAQ.

Are these Clipping tools free to use?

Yes. Every tool here is open source and free to download and use under its own license — most use MIT, Apache-2.0, or GPL-3.0, and any custom source-available license is flagged on the tool's page. Check the LICENSE file before commercial use.

Does LibreAI host these tools?

No. LibreAI publishes guides only — no downloads are served from this site. Every install comes from the project's official GitHub repository.

How do I install a Clipping tool from this page?

Open the tool's guide and follow its 'Run it yourself' section — the steps come from the project's own documentation — or use the 'View on GitHub' button to go straight to the official repository.

How were these tools chosen?

Every project is verified live through the GitHub API — stars, forks, license, and recent activity — and listed only if it has real momentum and an active community.

Do clipping tools upload my videos anywhere?

The open-source tools here are designed to run locally — transcription, moment detection, and reframing happen on your machine. If a project offers an optional cloud feature, its guide and documentation will say so.

What makes a good auto-clip?

A self-contained moment with a hook in the first seconds, clean captions, and framing that keeps the speaker visible. The tools handle the mechanics; picking the right source videos is still on you.