An alternative to per-hour transcription billing
An alternative to per-hour transcription billing: a local, on-prem alternative for Azerbaijani business — see how Chinar compares.
High-Performance Azerbaijani ASR for Local Infrastructure
Many businesses rely on global cloud speech services that charge per minute and often struggle with the nuances of the Azerbaijani language. These global tools frequently return fluent but incorrect text in Turkish, which can appear as a working transcript to those unfamiliar with the language, while other commercial and open-source services may produce effectively unusable output because they lack native support. Allmaz provides a specialized, on-premise alternative built specifically for Azerbaijani rather than adapted from related languages, eliminating third-party data retention and unpredictable cloud costs. By deploying our production-ready models on your own infrastructure, you ensure that no call audio leaves your building and no third-party retention occurs. This shift from per-minute cloud billing to local execution makes full call coverage affordable, enabling comprehensive QA on every call, deep archival search, and robust evidence for compliance and audit. Our solution is designed to handle the complexities of real-world audio, including mixed Azerbaijani–Russian speech.
Advantages of Native Azerbaijani Speech Recognition
Eliminate per-minute cloud billing to make full call coverage and 100% transcription affordable
Ensure total data privacy and security by running models on your own local infrastructure
Avoid 'confident' but incorrect Turkish transcriptions common in global speech services
Process audio 4 to 7 times faster than benchmarked commercial cloud services
Achieve superior accuracy on real-world call center recordings with 23% fewer word errors than cloud alternatives
Support for mixed Azerbaijani–Russian speech and challenging phone-line audio quality
Specialized Models for Every Use Case
Chinar-F: High Volume
A compact transducer trained on real Azerbaijani call-center recordings. It is the most accurate for real calls, making 23% fewer word errors than commercial cloud services and scoring 91% accuracy on clear speech.
Chinar-L: Document Quality
Designed for interviews and meetings, this GPU-based model scores 93–94% word accuracy on clear speech and formats numbers as digits for summaries and compliance records.
Chinar-P: Minimal Infrastructure
A compact model requiring no GPU, running 26× faster than real-time on four CPU cores while remaining on par with commercial cloud services.
Advanced Formatting
All three models automatically handle punctuation, capitalization, and speaker diarization to accurately label who said what.
Deployment and Integration
Frequently Asked Questions
How does this differ from global speech services?
Unlike global services that often adapt from related languages or return Turkish text, our models are built specifically for Azerbaijani. They run on-premise, meaning no audio leaves your site and you avoid per-minute cloud billing.
Can it handle noisy phone recordings and interruptions?
Yes. Our models are trained on genuine call-center recordings—including background noise, overlapping speech, and ordinary phone-line quality—rather than just clean, read speech.
Do I need a GPU to run the transcription?
Not necessarily. While Chinar-L requires a GPU for document-grade accuracy, Chinar-F and Chinar-P are designed to run efficiently on CPUs.
How does the speed compare to cloud-based alternatives?
Our solution is significantly faster, performing 4 to 7 times faster than the cloud speech services we benchmarked against.
Is there a way to test the accuracy first?
Visitors can test hosted ASR models for free at chinar.allmaz.az by uploading a recording to get an editable Azerbaijani transcript without needing an account or card.
Stop Paying Per Minute
Switch to a local Azerbaijani ASR solution and gain full control over your data and costs.
Request a demo