AI video editing
Auto-clipping: definition and examples
What is Auto-clipping?
Auto-clipping is an AI feature that scans a longer video, identifies the most engaging or relevant moments, and exports them as shorter, trimmed clips ready for publishing. It is commonly used to repurpose long recordings such as podcasts, webinars, or livestreams into short-form content for social platforms.
When you'd use it
- 1When you have a long recording and need to find the strongest short segments for social.
- 2When you upload a webinar, podcast, or event video and want clips without watching the full length.
- 3When the volume of raw footage makes manual review impractical within the publishing window.
- 4When you want a first-pass cut list before a human editor refines the selection.
Example
A podcast team uploads a 90-minute weekly episode and receives 12 candidate clips of 60 to 90 seconds each. After review, 4 clips are published without edits and 3 more are kept with minor trim adjustments, saving approximately two hours of manual clip selection per episode.
Use cases
- 1Extracting five short clips from a 60-minute founder interview for a week of social posts.
- 2Pulling the sharpest moments from a product launch livestream for next-day publishing.
- 3Generating a clip shortlist from a podcast episode so an editor can choose the final cut.
FAQ
What is the difference between auto-clipping and highlight detection?
Highlight detection flags moments in a longer video for human review without necessarily exporting them. Auto-clipping goes further and produces export-ready trimmed clips from those moments. Some tools combine both steps.
Make on-brand short-form video from the footage you already have.