Remove ums from your video podcast
A long conversation is full of ums and false starts. Some are part of a natural chat, but too many tire a listener. erm finds the filler words and dead air in your video podcast, so you choose which go.
Episodes that are easier to finish
Podcast episodes run long, so small habits add up. A listener who gives you an hour notices the hesitation more than anyone, and a tidy episode is easier to finish.
What erm finds
That’s a great question. Um, I think uh… 3.1 s pause the honest answer is we didn’t know what we were doing.
How erm helps with video podcasts
- Listens through the full recording and marks the fillers it hears, so you don’t have to.
- Gives you the choice on each one, so the natural rhythm of a conversation stays.
- Works with long files and keeps them on your Mac.
- Export the cleaned video, then edit the rest in your usual editor.
Remove filler words from video podcasts in three steps
- Drop in your video. A .mov, .mp4 or .m4v of any length, from your camera, phone or screen recorder.
- Review the cuts. erm marks each um, erm, uh and long pause. Keep any you like.
- Save the edit. Done on your Mac. Nothing is uploaded.
Prefer to do it by hand? Read how to remove ums from a video on a Mac, with or without erm.
Tips for cleaner video podcasts
- Clean the full episode first, then cut your clips from the cleaned file, so every clip benefits.
- Leave the fillers where someone is laughing or reacting. Those moments make a conversation feel real.
- If a guest says “you know” a lot, add it in Settings. erm leaves it alone unless you ask.
Questions
Does it work with two people talking?
erm listens to the whole recording and finds fillers from anyone speaking. You review each cut before exporting.
Can it work on audio only?
erm is built for video files. Drop in the video recording of the episode.
Does it work on long episodes?
Yes. There’s no length limit. An hour-long episode takes longer to listen through, and nothing is uploaded while it does.
Will it clean up the sound too?
erm doesn’t remove noise or echo. You can choose to level the sound when you save the edit.
Other ways to use erm
Interviews
People think while they speak, so an interview is full of ums and gaps. erm finds the filler words and long pauses in an interview recording, and tidies it so the answers are what you remember.
YouTube videos
Viewers decide in seconds whether to stay. erm finds the ums, uhs and dead air in your YouTube video before you upload, you choose which go, and it removes the filler words without you scrubbing through the timeline.
Webinars and talks
A live talk is allowed a few ums. The recording, shared for months afterwards, does better without them. erm finds the filler words and dead air in a webinar or conference talk, and cuts the ones you choose in one pass.