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Clips AI

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.

CAClips AIProduct screenshot pending
Best for
Developers building video-repurposing workflows
Pricing signal
Not publicly listed
Primary category
Developer tools
Last verified
Jul 30, 2026

The decision

Should Clips AI make your shortlist?

Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.

Strongest fit

Who it is built for

  • Developers building video-repurposing workflows
  • Teams processing podcast and interview video
  • Python projects needing automated vertical-video reframing
Practical use cases

Jobs it can take on

  • Segment a long-form video into multiple transcript-based clips
  • Transcribe a podcast, interview, speech, or sermon before finding clip boundaries
  • Reframe a 16:9 video into a 9:16 video focused on the active speaker
Before you choose

Know the tradeoffs

  • Clips AI is designed for audio-centric, narrative-based video such as podcasts, interviews, speeches, and sermons.
  • Installation requires Python dependencies, libmagic, and FFmpeg.
  • Video resizing requires a Hugging Face access token for speaker diarization.

Inside the product

What you can actually do with it.

The core product capabilities, grouped around the work they enable.

Transcript-based clipping

Clips AI transcribes a video and analyzes its transcript to identify and create multiple clips.

Video reframing

Its resizing algorithm dynamically reframes video around the current speaker and supports aspect-ratio conversion from 16:9 to 9:16.

Python package

Developers can install Clips AI with pip and use its Transcriber, ClipFinder, and resize functions in Python workflows.

Typical workflow

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

Plans and accessNot publicly listed.

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Choosing for a real workflow?

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