LibreAI / Recortes / ViralCutter
// clipping · RafaelGodoyEbert/ViralCutter

ViralCutter

ViralCutter é um projeto de recortes de código aberto de RafaelGodoyEbert (RafaelGodoyEbert/ViralCutter no GitHub). Tem 419 estrelas no GitHub e 99 forks, é publicado sob a licença GPL-3.0 e foi atualizado pela última vez no GitHub em 10 de setembro de 2026.

Free YouTube-to-viral-clip cutter with auto transcription and 9:16 edits.

💎 Joia escondida★ 419 estrelas⑂ 99 forksGPL-3.0atualizado set 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto

Dados do projeto

Estrelas no GitHub
419
Forks
99
Licença
GPL-3.0
Última atualização no GitHub
10 de setembro de 2026
Categoria
Recortes
Tipo de ficha
Joia escondida: uma página mais breve para um projeto menos conhecido
Site oficial
GitHub
// como funciona

Como funciona

  1. Feed it a long video

    Point the tool at a recording, podcast, or stream VOD to mine for moments.

  2. AI finds the highlights

    Transcription and scene analysis surface the clips most likely to perform.

  3. Reframe for vertical

    Speaker tracking and captions reshape each clip for 9:16 feeds.

  4. Export and publish

    Render the finished shorts and post them where your audience lives.

// recursos

Por que as pessoas gostam tanto

AI highlight detection

Finds the punchiest moments in hours of footage automatically.

Vertical reframing

Keeps the speaker centered when cropping landscape to 9:16.

Auto captions

Burns in subtitles so clips work with the sound off.

Moment scoring

Ranks candidate clips so you publish the strongest first.

Multi-platform export

Renders shorts sized for TikTok, Reels, and YouTube Shorts.

Local-first options

Many tools run fully on your machine — no uploads, no watermark.

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// execute você mesmo

Execute você mesmo

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/RafaelGodoyEbert/ViralCutter.git
    cd ViralCutter
  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
// casos de uso

O que você pode criar

  • Cut YouTube videos into viral clips.
  • Auto-transcribe for captions.
  • Export 9:16 for TikTok and Reels.
  • Run a free clipping workflow.
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// perguntas frequentes

Perguntas frequentes

Is it free to use?

The code is open source and free. Local AI features cost nothing beyond your hardware; anything cloud-based needs your own API key.

What license is it under?

GPL-3.0 licensed — free to use, but distributed modified versions must stay open source.

Do I need a powerful GPU?

A GPU makes transcription and generation much faster, but lighter pipelines can run on CPU with smaller models — check the README for requirements.

Where can I post the clips?

Exports are standard vertical MP4s, ready for TikTok, Instagram Reels, and YouTube Shorts.

How is this different from Opus Clip?

You own the pipeline: no per-clip credits, no watermark, and your footage never has to leave your machine.

// continue explorando

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Baixe o ViralCutter

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.