Let AI clear out the ums before you touch a clip

Filler word removal tools scan your audio for the ums, uhs, and repeated false starts that creep into unscripted talking, then cut them out automatically. It is a small fix on its own, but stacked across a long recording it removes a surprising amount of clutter. Doing this pass first means every later editing decision happens on cleaner audio.

This works best as an early step, not a final one. I run it before anything else on every talking-head project I touch, since it makes every decision after that easier. Some phrases sound like filler words but are actually part of a sentence, so a quick listen after the pass catches anything cut that should have stayed.

Try this today: run your next unscripted recording through a filler-word pass before any other edit, then listen through once to catch any word that got removed by mistake. Doing it in that order means every trim after this one is working with a cleaner track instead of fighting through clutter.