Chinar-F is a compact model trained on real Azerbaijani calls and cheap per hour on CPU or GPU, so full coverage stops being a budget question: every call transcribed, punctuated and speaker-labelled, 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 a compact model trained on real Azerbaijani call-centre recordings at phone quality, and it runs on CPU or GPU at a low cost per hour — which is what makes transcribing everything realistic rather than aspirational. None of it bills per minute, so the cost does not grow with call volume.
23% fewer word errors than a commercial cloud speech service on the same real calls.
Our most accurate model on real phone calls.
Punctuation, capitals and speaker labels in every transcript.
Runs on CPU or GPU, on your own infrastructure.
No per-minute billing: the cost does not grow with call volume.
Four to seven times faster than the cloud services benchmarked against it.
Not on phone calls — Chinar-F is our most accurate model on real calls, and it writes punctuation and capitals and labels speakers. Chinar-L is for documents: it also labels speakers and adds numbers as digits, and the 93–94% clear-speech figure belongs to it.
Yes — everything can go through Chinar-F while the calls that end up in a document go through Chinar-L.
Chinar-F runs on CPU or GPU. Chinar-P also runs on either, and is 26× faster than real time on four CPU cores.
Built for Azerbaijani from the ground up, not adapted from a related language.
Every Chinar model returns punctuated, capitalised Azerbaijani with speakers labelled.
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-F for the volume, Chinar-L for documents, Chinar-P where there is no GPU.