clip-generator

Open source AI clip generator: turns long videos into viral 9:16 shorts with AI moment detection, face tracking, subtitles and dubbing. Self-host free with Docker (MIT), or use the cloud with GPU speed from $12/mo. MCP server and API for AI agents.

Free open-source project designed for turning youtube-viedos into viral short videos. Highlight detection, subtitles, translation, voiceover, all in one for your content.

Open-source viral content pipeline — scout trends, analyze competitors, generate AI videos, auto-publish. AGPL-3.0.

✂️ Open-source, self-hosted Opus Clip alternative. Turn long YouTube videos or uploads into viral 9:16 vertical shorts: AI viral-moment detection (Gemini), auto transcription + subtitles, active-speaker reframing, in-browser editing, and one-click TikTok / Reels / Shorts scheduling.

🎬 Pocat API - AI Video Clipper Backend | YouTube video download & processing with yt-dlp, multiple quality support (144p-4K), OAuth integration ready. Built with AdonisJS, TypeScript, SQLite/Turso.

Automatically turn Twitch VODs and YouTube videos into viral-ready clips using AI. Detects highlights via audio, chat, motion, and speech, then exports vertical videos with dynamic subtitles for TikTok, Reels, and Shorts.

AI that watches your Twitch VODS so you can have a yank--er, I mean, so you don't have to! (Not made by Claude)

Automated gameplay highlight detection and clipping with review and YouTube publishing.

Open-Clip is an automated clipper that create short clips from long format video. Can be executed via CLI or UI.

Free, open-source, local alternative to Opus Clip & Vizard - turn long videos into AI-scored viral short clips (16:9, 9:16, 1:1) with auto face-reframe and word-by-word captions. No subscription, no API keys.

Open-source AI video clipping tool for turning long-form videos into short clips with local or self-hosted processing.

Free local GPU-accelerated Opus Pro alternative. WhisperX transcription, viral clip detection, Opus-style captions, NVENC export. No subscription, no cloud, no limits.

VID SPLITTER LITE is a lightweight offline desktop application built with Python and FFmpeg that allows users to quickly split MP4 videos into smaller clips. It features a modern Tkinter + ttkbootstrap interface with drag-and-drop support, batch processing (LITE limit), customizable clip duration, and real-time progress tracking. Designed for speed

Local web app for cutting videos: choose an exact range, split it into clips of a fixed length, and optionally apply a crop preset.