LibreAI / Clipping / App.yumcut.com
// clipping · IgorShadurin/app.yumcut.com

App.yumcut.com

YumCut - free AI video generator to turn a prompt into ready vertical videos for TikTok, Reels and YouTube Shorts. Auto script, scenes,…

★ 887 stars⑂ 141 forksCustom (check repo)updated 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

App.yumcut.com is an open-source clipping project by IgorShadurin (IgorShadurin/app.yumcut.com on GitHub). It has 887 GitHub stars and 141 forks, is released under the Custom (check repo) license, and was last updated on GitHub on 3 September 2026.

GitHub stars
887
Forks
141
License
Custom (check repo)
Last updated on GitHub
3 September 2026
Category
Clipping
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Drop in your long video

    Upload a recording, podcast, or stream VOD — or point the tool at a URL where supported.

  2. Let AI find the moments

    The tool transcribes the audio, scores segments for energy and topic shifts, and proposes the clips worth keeping.

  3. Reframe and caption

    Clips are auto-cropped to vertical, with animated captions and the speaker kept in frame.

  4. Review and export

    Approve the picks, tweak captions or cuts, and export ready-to-post files.

// features

Why people love it

Auto highlight detection

Transcription plus scoring finds the segments most likely to perform as shorts.

Vertical reframing

Speaker tracking keeps faces centered when cropping landscape to 9:16.

Animated captions

Word-by-word captions in the style viewers expect from top short-form creators.

Faceless video modes

Some tools generate full videos from a script — stock visuals, voiceover, and captions included.

Batch pipelines

Process whole back-catalogs into clip libraries instead of one video at a time.

Platform-ready exports

Sized and formatted for Shorts, Reels, and TikTok out of the box.

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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/IgorShadurin/app.yumcut.com.git
    cd app.yumcut.com
  2. Step 2 — Install dependencies

    Use the package manager the project specifies (check for pnpm or yarn lockfiles).

    npm install
  3. Step 3 — Start it

    Launch the dev server or build, per the README.

    npm run dev
// use cases

What you can build

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// faq

Questions, answered

How good is the AI at picking clips?

It is a strong first pass — transcription-based scoring finds energetic, self-contained moments. You still review before posting.

Do I need a GPU?

Varies by tool; transcription and reframing can be heavy, so check each project's requirements.

Who maintains App.yumcut.com?

It is an open-source project at IgorShadurin/app.yumcut.com with 141 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Can it add captions automatically?

Yes — word-level captions are standard, usually with style templates.

What about faceless videos?

Dedicated generators assemble stock footage, AI voiceover, and captions from a script or topic.

Is the output watermarked?

Self-hosted open-source tools export clean files — no watermarks.

// keep exploring

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// alternatives

Alternatives in Clipping

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

Get App.yumcut.com

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