Clip Fm

Clip Fm is an AI-powered platform that transforms long-form videos and podcasts into short, engaging clips optimized for social media.

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What is Clip Fm?

  • Founders: Cole Striler and Cameron Kelley
  • Launch: November 2022
  • Use Cases: Podcasters, marketers, content creators, editors, agencies
  • Technology: AI-powered transcription, machine learning, and intelligent clip selection

ClipFM is an AI-powered video repurposing tool that transforms long-form content—like podcasts, interviews, or recorded talks—into engaging short clips optimized for social media platforms such as YouTube Shorts, TikTok, and Instagram Reels. It was founded in November 2022 by Cole Striler and Cameron Kelley. Clip.fm is an easy way for creators, podcasters, marketers, and agencies to extract meaningful content out of long-form video/audio. By combining transcription technology with machine learning, it showcases the highlights of long-form video and audio that will resonate with an audience. Afterwards, users have the option to modify their ideas by altering the timestamps, fonts, colors, and captions of the clips for various social platforms such as TikTok, Instagram Reels, and YouTube Shorts. Clip.fm saves users hours of editing time and the cost of hiring editors. Clip.fm’s starter plan allows users to create up to 10 hours of content a month and decorate dozens of refreshed clips. It allows creators to produce leverage in the crowded short-form content space. It is a quick, dependable, and idiot-proof way to utilize long-form content to its fullest potential.

ClipFM Video/Demo

TechShark Clip Fm
Frequently Asked Questions

Clip.fm works best with conversational content like podcasts, interviews, and talks where important moments can be highlighted.

Yes, users can edit timestamps, add captions, change fonts, colors, and choose orientations suitable for different platforms.

The starter plan processes about 10 hours of content per month and typically produces 50–100 short clips.

Yes, the AI adapts to user edits, learning preferences to provide better clip suggestions in the future.

Currently, Clip.fm mainly supports English, but more language options are planned for future updates.
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