nur-stt-v1-pro returns both.
Prerequisites
An API key
An API key
Create one in Settings → API keys. Keep
it server-side.
A recording
A recording
WAV, MP3, FLAC, OGG, M4A or WebM. One pass handles roughly ninety minutes;
split anything longer before uploading.
Recipe
Naming the speakers
The model returnsS01, S02 — it knows the voices apart, not who they belong
to. Map them once and apply the mapping everywhere:
S01 may be a
different person — so store the mapping against the transcript, not against the
speaker id.
Telling a bad recording from a bad transcript
Each segment carries an audibility read: whether the speaker was on mic, off mic, or faint. This is the difference between “the model got it wrong” and “nobody could have got that right”.Watching it decode
nur-stt-v1-pro streams over SSE, so segments arrive as the file decodes
instead of all at once at the end. For a ninety-minute recording that is the
difference between a progress bar and a blank screen.
Going further
Audio intelligence
Diarization, audibility, and sound events in full.
Speech to text
The endpoint, and choosing between the two tiers.