Why this is a bigger job than it sounds
Removing dead air sounds simple — cut the quiet parts — but doing it by hand on a long recording means scrubbing through the entire timeline, listening for gaps, and making a judgment call on each one: is this a pause worth keeping for pacing, or genuinely dead time? On an hour of raw footage, that's a slow, repetitive pass before any of the actual editing starts.
How AI does it
An AI editor analyzes the audio track directly, detecting gaps below a level or duration threshold and flagging them as candidates for removal. Because it's working from the actual waveform and transcript together, it can distinguish a natural conversational pause from filler silence — and because it's automated, it does this across hours of footage in the time a human would take to review a few minutes.
Where judgment still applies
Not every silence should go. A pause before a punchline, or a beat after a hard question in an interview, is doing narrative work — cutting it flat can make an edit feel rushed. The practical pattern: let AI do the detection and the first pass of removal, then review the cuts near anything emotionally or narratively significant before finalizing.