Ugle is live on Product Hunt.
Find useful moments in your recordings and collect them for your next edit. Search runs on your machine.
15-day free trial. No credit card required.
Explore and share feedback:
producthunt.com/products/ugl…
A newsroom editor rarely starts with a perfect keyword. They start with memory.
“The spokesperson explained the budget issue somewhere in the second interview.”
“The strongest answer came after we asked about the delay.”
“There was a clean soundbite about the announcement.”
Traditional keyword search can struggle when the words you remember are not the words that were actually spoken.
ugle.ai indexes transcript segments semantically so Spotlight can search for what a Moment means, not only whether an exact keyword appears.
The useful result is not another generated answer.
It is a route back to the original recording and timestamp.
Retrieval, not generation. Describe what you remember. Find where it happened.
ugle.ai
Why is it easier to search the internet than a video archive sitting on your own computer?
For people working with interviews, podcasts, footage and recorded source material, the problem is often not remembering what happened. You remember the quote. You remember the objection. You remember the soundbite.
What you don’t remember is which file contains it, where it appears, or the exact timestamp.
So the workflow becomes opening files, scrubbing timelines, listening, skipping, rewinding and trying again.
Ugle is built around that retrieval gap.
It indexes audio and video locally and lets you describe what you remember, so you can return to the relevant Moment in the original source.
You spent years building the archive. Finding one moment inside it should not take twenty minutes.
#MediaWorkflow #VideoEditing #Journalism
























