Clips courts
AI Youtube Shorts Generator
Open-source alternative to Opus Clip, Vidyo.ai, Klap & SubMagic. Turn long-form YouTube videos into viral 9:16 shorts using LLM…
★ 5,2 k étoilesMIT
Voir le guide →videocutterAI est un projet de clips courts open source, créé par Crezy-haker (Crezy-haker/videocutterAI sur GitHub). Il compte 42 étoiles sur GitHub et 10 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 2026.
Web-based highlight finder that auto-generates clips from your uploads.
Point the tool at a recording, podcast, or stream VOD to mine for moments.
Transcription and scene analysis surface the clips most likely to perform.
Speaker tracking and captions reshape each clip for 9:16 feeds.
Render the finished shorts and post them where your audience lives.
Finds the punchiest moments in hours of footage automatically.
Keeps the speaker centered when cropping landscape to 9:16.
Burns in subtitles so clips work with the sound off.
Ranks candidate clips so you publish the strongest first.
Renders shorts sized for TikTok, Reels, and YouTube Shorts.
Many tools run fully on your machine — no uploads, no watermark.
Download the source and move into the project folder.
git clone https://github.com/Crezy-haker/videocutterAI.git
cd videocutterAIEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandThe code is open source and free. Local AI features cost nothing beyond your hardware; anything cloud-based needs your own API key.
MIT licensed — you can use it commercially with attribution.
A GPU makes transcription and generation much faster, but lighter pipelines can run on CPU with smaller models — check the README for requirements.
Exports are standard vertical MP4s, ready for TikTok, Instagram Reels, and YouTube Shorts.
You own the pipeline: no per-clip credits, no watermark, and your footage never has to leave your machine.
Open-source alternative to Opus Clip, Vidyo.ai, Klap & SubMagic. Turn long-form YouTube videos into viral 9:16 shorts using LLM…
AutoClip｜一个链接，一键出片。开源 AI 视频剪辑桌面工具，将播客、访谈、课程等长视频自动剪成短视频，生成字幕、封面和发布文案，适配抖音、小红书、TikTok、Reels 与 YouTube Shorts。Open-source AI video clipping & content repurposing.
一键生成产品营销与泛内容短视频，AI批量自动剪辑，高颜值跨平台桌面端工具 One click generation of product marketing and general content short videos, AI batch automatic…
Claude Code skill: turn long videos into social-ready clips. Auto-find funny moments, cut, reframe to 9:16 with face-tracking, and burn opus-style captions.
Open-source OpusClip rival that generates YouTube Shorts for free, unlimited.
Free YouTube-to-viral-clip cutter with auto transcription and 9:16 edits.
Les autres projets de la catégorie Clips courts avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si videocutterAI ne vous convient pas.
WhisperX — Whisper transcription with word-level timestamps and speaker diarization: 70x realtime batched inference, forced phoneme alignment, BSD-2-Clause
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…
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macOS video editor built for AI
MoneyPrinter — automate YouTube Shorts from a single topic: local Ollama writes the script and metadata, stock footage and voiceover are assembled into a finished short, MIT
Projets de la catégorie Clips courts proches dans le catalogue, les plus proches en étoiles de videocutterAI — continuez à explorer de part et d'autre.
Python video generator that chains APIs with automatic editing.
Turn any video or podcast into language listening practice with Anki cards.
Extracts recipes from cooking videos and imports them to your recipe manager.
9-stage AI video factory: idea to finished short, with self-improving scores.
Self-hosted Opus Clip rival with in-browser editing and one-click scheduling.
Automated clipping pipeline that turns long videos into reusable shorts.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.