Make Clean up raw videoJoin the waitlist

Keep the take.Lose the ums and retakes.

Bring raw video of yourself. Your AI marks the ums, long pauses and retakes. You keep or drop each cut, then build any video from the clean version.

Join the waitlistSee before and after

Mac and Windows, launching together

Workshop clean-up
Example data
Review the suggested cuts: the recording, Before 4:12 and After 3:36, and a waveform with eight cuts marked in coral Placeholder
  1. 0:00

    Hi, I'm Alex. So, um, the thing is, most coaches are stuck trading hours for income.

  2. 0:14

    Your calendar is full, (2.8 s pause) and your income still is not growing.

  3. 0:31

    Let me say that again... Every new client costs you another hour.

Clean up footageStock clip, mock words

Keep your best take.Let your AI find the ums.

You bring the recording. Your AI listens for the bits you'd cut anyway, and you decide which cuts happen.

The ums, found for you

Your AI marks filler words, long pauses and retakes in your recording.

scrubbing back and forth for every um

Cut or keep, one by one

Every suggested cut waits for you. Keep the ones that still sound like you.

hoping an auto-cut sounded right

Long recordings too

Bring a full workshop or a long talk, as well as short takes.

chopping the file into pieces first

Stays on your computer

Your footage stays on your machine. Your AI works from the transcript.

uploading hours of video somewhere

Suggested cuts

Every cut comeswith a reason.

Your AI lists each cut with when it happens, why, and what was said: an um, a long pause or a retake. You pick Cut or Keep on every row.

Clean up footage
Example data
Suggested cuts table: Um, Long pause, Retake, Um and Long pause, each with what was said and a Cut or Keep choice

Transcript

Read it like a page,cuts struck through.

The transcript shows each suggested cut struck through in place. Highlight more words to cut those too, or bring one back.

Transcript
Example data
Clean up transcript: filler words and a retake struck through, with a Cut this button

On your computer

Your footagestays with you.

Clean up runs on your own Mac or Windows computer. Your recordings never go to Saycut servers, and your AI sees the transcript, plus frames only if it asks for them.

Clean up footage
Example data
Two notes beside the cuts: Your original file is never changed, and Found by your AI, which says Claude listened for filler words, long pauses and repeated takes

Story outline

Then buildfrom the clean take.

The story outline is built from the cleaned-up version. Turn it into a talking head video with graphics, or a short social clip.

Story outline
Example data
Story outline parts Hook, Problem, Agitate and Solution, each with a Show me 3 more button

The same take, before and after.Flip it and watch the ums go.

launch-plan-take-1.mov
Example data
Placeholder

0:58as recorded

So, um, today I'm showing you how I plan a launch. It starts with one list. (2.1 s pause) Just one. Wait, let me start that again. It starts with one list of names. Then I write to each person, uh, like, by hand.

Before: the take as you recorded it, every um included.Stock clip, mock words
3kinds of cut it looks for: ums, long pauses and retakes
2ndof six stages: clean up comes before the story outline
5kinds of video, clean up raw video is one
2 Mac and Windows, launching together

Other videos your AI can makefrom the same recording or script.

Say what you want.Saycut makes it.

Join the waitlist and we'll email you when Saycut opens on Mac and Windows.

You're on the list. We'll email you when Saycut opens.

Get early access when Saycut opens. No spam.