Who it is built for
- Developers building video-repurposing workflows
- Teams processing podcast and interview video
- Python projects needing automated vertical-video reframing
Open-source Python library for automatic video repurposing
Clips AI is an open-source Python library for converting long-form video into shorter clips. It transcribes audio-centric videos, identifies clip boundaries from transcripts, and dynamically reframes video from 16:9 to 9:16 around the active speaker for short-form formats.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Clips AI transcribes a video and analyzes its transcript to identify and create multiple clips.
Its resizing algorithm dynamically reframes video around the current speaker and supports aspect-ratio conversion from 16:9 to 9:16.
Developers can install Clips AI with pip and use its Transcriber, ClipFinder, and resize functions in Python workflows.
Install the Python package and its required dependencies, then transcribe the source video with the included Transcriber. Pass the transcript to ClipFinder to identify clips, and optionally use the resize function to reframe the original video for a different aspect ratio.
Plans and official links
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