YouTubers, podcasters, editors
YouTube, podcast, and interview editing.
Use transcript search, visual search, and plan previews to turn talking footage into tighter episodes, highlights, and promotional clips.
The job
What makes this workflow annoying.
Talking footage hides the edit inside the transcript. The slow part is finding the quote, removing dead air, preserving context, and making the highlight still feel human.
Example AVE request Find the best argument and the funniest reaction, tighten the dead air, and create a 45-second highlight with captions.
Workflow
How this works in AVE.
AVE keeps the edit in a local Mac timeline while AI helps find material, build a plan, and execute the mechanical pass.
- Analyze speech and clip metadata.
- Search for quotes, claims, jokes, or topic changes.
- Remove dead air, close gaps, and build highlights.
- Add captions and export the final sequence locally.
Why AVE
Where the editor matters.
Searches by what was said, not only by filenames.
Uses timeline tools for trimming and gap closing.
Keeps the full edit available for manual correction.
Outputs
Common deliverables.
AVE builds these as real sequences you can refine by hand. Browse the full feature list.
Episode rough cutQuote clipHighlight reelPromo short