Namu Playground
Record a line of Hausa, or drop in a file, and read it back.
Turn noisy Hausa audio into accurate, domain-aware transcripts.
Namu-Transcribe is trained on Hausa the way people speak it: across dialects, over bad lines, and in rooms where other people are talking.
Measured separately on each, because an average across Niger hides the varieties it does worst on.
Every trade has names of its own. Tell Namu the ones you use and it will stop guessing at them.
Presenter00:04
Barka da yamma. Wannan shi ne labarin karfe shida na yammacin yau.
Presenter00:11
Ruwan sama ya sauka a yankin Maradi da Tessaoua a daren jiya, kuma manoma na sa ran fara shuka a mako mai zuwa.
Correspondent00:23
A nan Zinder, kasuwar dabbobi ta bude da karfe bakwai. Farashin raguna ya ragu kadan idan aka kwatanta da makon jiya.
Built for imperfect conditions: a phone on a market stall, a radio feed, a room with three people talking at once.

Ina son sanin farashin gero a kasuwar yau.
Hausa in, text out.
Ruwan sama ya sauka a yankin Maradi da Tessaoua a daren jiya, kuma manoma na sa ran fara shuka a mako mai zuwa.
Performance
Benchmarks that quote one number across forty languages tell you very little about the one you speak. These are Hausa alone.
Record a line of Hausa, or drop in a file, and read it back.
Transcribe at volume, with your own domain terms loaded.
Interpretation, speech synthesis and the end-to-end voice agent.