LibreAI / Clipping / velocut
// clipping · open-ribbi/velocut

velocut

AI-native, local-first video editor by Ribbi — runs entirely in the browser. Rust/WASM engine, WebGPU compositing, WebCodecs export; humans and LLM agents ed…

★ 455 stars⑂ 0 forksMITupdated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

velocut is an open-source clipping project by open-ribbi (open-ribbi/velocut on GitHub). It has 455 GitHub stars and 0 forks, is released under the MIT license, and was last updated on GitHub on 30 September 2026.

GitHub stars
455
Forks
0
License
MIT
Last updated on GitHub
30 September 2026
Category
Clipping
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Bring source material

    A long video, a script, or just a topic — pick the input your tool expects.

  2. Configure the output

    Aspect ratio (9:16), voice, captions, and branding.

  3. Generate or cut

    AI writes, voices, and edits; clipping tools find the highlights.

  4. Publish everywhere

    Exports sized for Shorts, TikTok, and Reels.

// features

Why people love it

LLM-powered

Large language models drive its smartest features, locally or via API.

Rust performance

Built in Rust for speed and memory safety — fast, lean binaries.

Platform presets

One click to the right size and codec per network.

No filming needed

Stock visuals and AI voices replace cameras and mics.

Batch creation

Render dozens of variations from templates.

Viral repurposing

Long videos mined for their most shareable moments.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/open-ribbi/velocut.git
    cd velocut
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Who maintains velocut?

It is an open-source project at open-ribbi/velocut with 0 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is velocut free for commercial use?

MIT licensed — use it commercially, no strings attached.

Will the videos look AI-made?

Early ones can; good templates, voices, and pacing close the gap fast.

Do I need any filming gear?

No — that's the point. A good script matters more.

How long does a video take?

Minutes for templated shorts; longer for heavily edited pieces.

// keep exploring

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// alternatives

Alternatives in Clipping

The most-starred other Clipping projects in the LibreAI catalogue — the realistic shortlist if velocut is not the right fit.

Get velocut

Free and open — grab the source, star the repo, and start creating.