LibreAI / Clips courts / LinguaClip
// clipping · Samuelxiaozhuofeng/LinguaClip

LinguaClip

LinguaClip est un projet de clips courts open source, créé par Samuelxiaozhuofeng (Samuelxiaozhuofeng/LinguaClip sur GitHub). Il compte 40 étoiles sur GitHub et 4 forks, il est publié sous la licence AGPL-3.0 et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 2026.

Turn any video or podcast into language listening practice with Anki cards.

💎 Pépite cachée★ 40 étoiles⑂ 4 forksAGPL-3.0mis à jour oct. 2026
▦ visuel — le README de ce projet ne contient aucune capture intégrable,
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.
// détails du projet

Détails du projet

Étoiles GitHub
40
Forks
4
Licence
AGPL-3.0
Dernière mise à jour sur GitHub
3 octobre 2026
Catégorie
Clips courts
Type de fiche
Pépite cachée — une page plus courte pour un projet moins connu
Site officiel
Official site
// fonctionnement

Comment ça marche

  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.

// fonctionnalités

Pourquoi on l'adore

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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// lancez-le

Lancez-le vous-même

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/Samuelxiaozhuofeng/LinguaClip.git
    cd LinguaClip
  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
// cas d'usage

Ce que vous pouvez créer

  • Practice listening with real videos.
  • Generate Anki cards from podcasts.
  • Get AI breakdowns of dialogue.
  • Study offline with local subtitles.
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// faq

Questions fréquentes

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?

AGPL-3.0 licensed — running it as a network service counts as distribution, so share your modifications.

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.

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// alternatives

Alternatives en Clips courts

Les autres projets de la catégorie Clips courts avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si LinguaClip ne vous convient pas.

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// plus en clipping

Plus en Clips courts

Projets de la catégorie Clips courts proches dans le catalogue, les plus proches en étoiles de LinguaClip — continuez à explorer de part et d'autre.

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Obtenir LinguaClip

Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.