Chinar-F carries the same Azerbaijani expertise at roughly a fiftieth of the size, so full coverage stops being a budget question: every call transcribed, an archive made searchable, analytics and quality monitoring fed.
Sampling exists because transcription is expensive, not because a sample is what anyone wanted. Chinar-F is roughly fifty times smaller than Chinar-L while sharing its command of Azerbaijani, so it runs comfortably on hardware a large model will not fit, at a fraction of the cost per hour — which is what makes transcribing everything realistic rather than aspirational.
Roughly fifty times smaller than Chinar-L.
The same Azerbaijani expertise, so both sizes agree with each other.
Runs comfortably where a large model will not.
A fraction of the cost per hour of audio.
Four to seven times faster than the cloud services benchmarked against it.
Chinar-F is built for transcripts machines read; the punctuated, capitalised output and the 87% clear-speech figure belong to Chinar-L.
Yes — they share the same Azerbaijani expertise, so a sampled set can go through Chinar-L while everything goes through Chinar-F.
It runs comfortably where a large model will not, which is the point of the smaller size.
Built for Azerbaijani from the ground up, not adapted from a related language.
Chinar-L returns punctuated, capitalised Azerbaijani, ready for a document or a compliance record.
Global services asked for Azerbaijani give back confident Turkish that looks like a working transcript.
Recordings stay on your infrastructure: no metering, no third-party retention.
See the complete product: problem, features, how it works and deployment.
Request a demo and we will run Chinar against your own Azerbaijani audio — Chinar-L for the transcript people read, Chinar-F for the volume.