Open-source Opus Clip alternatives

AI YouTube Shorts Generator is an open-source alternative to clipping services such as Opus Clip, Vidyo.ai, Klap and SubMagic. You give it a long-form YouTube video and it returns ranked, vertical 9:16 clips suitable for Shorts, Reels and TikTok, without per-clip credits or watermarks.

Under the hood it transcribes the video with Whisper, uses a GPT-class language model to detect the most compelling moments, and crops the footage to a vertical frame automatically. The authors emphasize control over the highlight algorithm, and the repository topics cover auto-clipping, auto-cropping and highlight detection. It is written in Python.

The project is MIT-licensed and runs on your own machine with your own model access, which suits creators, agencies and developers who do not want subscription fees or minute caps. The website is run by a related commercial video tool, so check for a hosted option there.

ClippedAI is an open-source alternative to OpusClip that turns long-form videos into YouTube Shorts. It uses AI-based transcription and clip detection to find engaging moments, crops them to a 9:16 vertical format, adds animated subtitles and can suggest titles. It is built on the clipsai library and is aimed at content creators and developers who want a video-repurposing tool without a monthly subscription.

Additional features include caching of transcriptions so repeat runs are faster, support for processing several videos in one session, and engagement scoring to choose clips. Processing happens locally, which the README contrasts with cloud-based services, and models are selectable. It works offline apart from automatic title generation. API keys for HuggingFace and Groq are used, and the README describes them as free.

Requirements are Python 3.8 or later, FFmpeg available on the path, at least 8 GB of RAM and, optionally, a GPU for faster processing. The repository lists the license as Other, so check the license file before commercial use.