Semantic search for sound

The needles are in there.
Haystack finds them.

Stop searching. Start describing.

Search your sound libraries by feel, instead of filename.
Describe the texture, emotion, or movement you hear in your head.
Haystack finds it. Or record it directly, and Haystack matches it.

Sometimes your best sounds are the ones you can't find.

Every editor knows the tax. You burn hours typing words into a search bar, hoping whoever named the file thought the way you do. They didn't.

Sound design was never only about recording. It is about translation. What else sounds like this? Cornflakes become footsteps in snow. A snapped stick of celery becomes a breaking bone. The work happens in the ear, not the keyword.

Gary Rydstrom built a career on that idea. The right sound was never the obvious one, and it was rarely the one you could find by name. Haystack searches the way you listen.

A different way to search.

Haystack takes your description and matches it to the DNA of your sounds. It searches the genetics, the fingerprint. Filenames and metadata are irrelevant. You describe what you are chasing in plain language and it surfaces the matches, the needles in the haystack, the ones you forgot you owned or would never have thought of.

  • Search by texture, material, motion, and mood.
  • Find the needles in the haystack.
  • Runs on your own machine, against your own libraries.

It doesn't replace your main database search tool.
It's the tool you reach for when keywords stop helping.

Built to be owned. One-time purchase. No subscription.

Stop searching.
Start describing.