Upload & transcribe
Speaker-labelled transcript, searchable, timecoded. The episode is now a document.
Use case
Read the episode. Cut the filler.
A 90-minute episode is an hour of scrubbing and an hour of hunting. In Aperture the transcript is the episode: search it, read it, delete the words you don't want.
The episode loop
From raw tape to publish, in one sitting.
One-click cleanup
Silence removal and filler-word ops tighten the episode before you make a single manual cut.
Shape by text
Cut the tangent, reorder the anecdote, drop the off-record bit — select words, press cut.
Clips for the feed
LLM-ranked highlights become captioned vertical clips; audio-only export for the podcast feed.
The transcript view
Your episode, as searchable text.
Moment search across episodes
"The part about pricing" — every hit deep-links to the tape.
Click-to-edit captions
Fix a name once; it's fixed in the transcript, the captions, and the search index.
Music that behaves
Auto-duck drops the intro bed under every spoken word.
Show notes, drafted
AI Studio reads the transcript and drafts descriptions for you to edit, not write.
RIP, um (survived by many)
Every "um" has been evicted.
The episode is a document now. Read it, cut it, remove every filler and silence in one click. Dignity removal remains irreversible.
Edit like a documentThe whole distribution loop, one account.
- Episode master + audio-only export for the podcast feed
- Vertical clips with burned-in captions for Reels, Shorts, TikTok
- Guest link so the co-host reviews without an account
- Every clip lands back in the library, tagged and searchable
Publish the episode.
And the clips.
Text-based editing is core to the platform. Try it free.