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-Accuracy Azerbaijani ASR Without Per-Minute Billing
Many businesses rely on global cloud speech services that charge per minute and struggle with the nuances of the Azerbaijani language. Often, these services return fluent, confident text in Turkish—which may appear correct to those unfamiliar with the language—or produce unusable output because they are adapted from related languages rather than built for Azerbaijani. Chinar provides a dedicated on-premises alternative designed specifically for Azerbaijani speech, removing the cost barriers of cloud billing and the inaccuracies of generic models. By deploying on your own infrastructure, you ensure that no call audio leaves your building and no third-party retention occurs. This approach enables full call coverage, making it affordable to perform quality assurance on every call, search across entire archives, and generate evidence for compliance and audit. Instead of sampling a fraction of your data, you can leverage a system trained on genuine call-center recordings—including background noise and overlapping speech—to achieve superior accuracy and operational control.
Advantages of Local Azerbaijani Speech Recognition
Eliminate per-minute cloud billing costs so expenses do not grow with call volume
Maintain total data sovereignty by keeping all audio within your own infrastructure
Avoid the common error of receiving fluent Turkish text instead of Azerbaijani
Achieve significantly higher accuracy on real call-center audio compared to adapted models
Process audio 4 to 7 times faster than benchmarked commercial cloud services
Enable 100% call coverage for QA, analytics, and compliance instead of limited sampling
Specialized Models for Every Use Case
Chinar-F for Volume
A compact transducer trained on real Azerbaijani call-center recordings at phone quality. As the default production model, it is the most accurate for real calls, making 23% fewer word errors than a commercial cloud speech service and scoring 91% accuracy on clear read speech.
Chinar-L for Documentation
Optimized for transcripts people read, such as interviews and meetings. This GPU-based model writes punctuation, capitals, and numbers as digits, scoring 93–94% word accuracy on clear Azerbaijani speech, measured against human-checked transcripts for compliance and summary records.
Chinar-P for Minimal Infrastructure
A compact model for sites without a GPU. It provides punctuation and capitals while running 26× faster than real time on four CPU cores, performing on a par with a commercial cloud speech service on real call-center recordings.
Deploying Local Transcription
Frequently Asked Questions
How does this differ from global speech services?
Unlike global services that often adapt from related languages or mistakenly return Turkish text, Chinar is built specifically for Azerbaijani and trained on genuine call-center recordings rather than just read speech.
Is it more cost-effective than cloud billing?
Yes. Because it runs on your own infrastructure, there is no per-minute cloud billing. This means your costs remain stable regardless of how much your call volume increases.
Can I test the technology before deploying?
Yes, visitors can test hosted ASR models for free at chinar.allmaz.az. You can upload a recording and get an editable Azerbaijani transcript without needing an account or a credit card.
Does it support languages other than Azerbaijani?
The current models are specialized for Azerbaijani; however, support for Russian and mixed Azerbaijani–Russian speech is currently in development.
What hardware is required for these models?
Depending on the model, you can use either CPU or GPU. Chinar-P is designed for minimal infrastructure and requires no GPU, while Chinar-L is optimized for GPU environments.
Ready to move beyond per-hour billing?
Switch to a local, high-accuracy ASR solution and gain full control over your data and costs.
Request a demo