Kurzclips
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 Tsd. SterneMIT
Anleitung ansehen →App.yumcut.com ist ein Open-Source-Projekt aus der Kategorie Kurzclips von IgorShadurin (IgorShadurin/app.yumcut.com auf GitHub). Es hat 887 Sterne auf GitHub und 141 Forks, wird unter der Lizenz Custom (check repo) veröffentlicht und wurde zuletzt am 3. September 2026 auf GitHub aktualisiert.
YumCut - free AI video generator to turn a prompt into ready vertical videos for TikTok, Reels and YouTube Shorts. Auto script, scenes,…
Upload a recording, podcast, or stream VOD — or point the tool at a URL where supported.
The tool transcribes the audio, scores segments for energy and topic shifts, and proposes the clips worth keeping.
Clips are auto-cropped to vertical, with animated captions and the speaker kept in frame.
Approve the picks, tweak captions or cuts, and export ready-to-post files.
Transcription plus scoring finds the segments most likely to perform as shorts.
Speaker tracking keeps faces centered when cropping landscape to 9:16.
Word-by-word captions in the style viewers expect from top short-form creators.
Some tools generate full videos from a script — stock visuals, voiceover, and captions included.
Process whole back-catalogs into clip libraries instead of one video at a time.
Sized and formatted for Shorts, Reels, and TikTok out of the box.
Download the source and move into the project folder.
git clone https://github.com/IgorShadurin/app.yumcut.com.git
cd app.yumcut.comUse the package manager the project specifies (check for pnpm or yarn lockfiles).
npm installLaunch the dev server or build, per the README.
npm run devThe Clipping shelf also holds creatorhub — 多平台内容监控·采集·搬运 一个 Web 面板管起抖音 / 小红书 / 快手. Readers working through the Clipping shelf also stop at second-brain, AI Second Brain - entirely Local Knowledge Management Private, self-hostable second brain.
It is a strong first pass — transcription-based scoring finds energetic, self-contained moments. You still review before posting.
Varies by tool; transcription and reframing can be heavy, so check each project's requirements.
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.
Yes — word-level captions are standard, usually with style templates.
Dedicated generators assemble stock footage, AI voiceover, and captions from a script or topic.
Self-hosted open-source tools export clean files — no watermarks.
Open-source alternative to Opus Clip, Vidyo.ai, Klap & SubMagic. Turn long-form YouTube videos into viral 9:16 shorts using LLM…
Generate a video script, voice and a talking face completely with AI
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…
Native macOS app: drop a long video → auto-cut viral shorts, captioned for TikTok/Reels/YouTube, reframed to vertical, and scheduled. 100% on-device (Gemma 4…
Traceable AI pipeline for vertical videos across TikTok, Shorts, and Reels.
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.
Die anderen Projekte der Kategorie Kurzclips mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls App.yumcut.com nicht das Richtige ist.
WhisperX — Whisper transcription with word-level timestamps and speaker diarization: 70x realtime batched inference, forced phoneme alignment, BSD-2-Clause
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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
Verwandte Projekte der Kategorie Kurzclips im Katalog, die App.yumcut.com bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Open-source, local-first video editor where creators and AI agents edit the same real timeline.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.