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.
Azerbaijani-First Automatic Speech Recognition
Many businesses rely on global speech services that struggle with the nuances of the Azerbaijani language or impose restrictive per-hour pricing. A critical issue with these global providers is that they often adapt models from related languages; in practice, this frequently results in Azerbaijani speech being transcribed as fluent, confident Turkish. For those who do not speak the language, these transcripts appear correct, but they are effectively unusable for actual Azerbaijani language needs. Recent head-to-head tests of major 2026 commercial and open speech services confirmed that without native support, the output remains non-functional. Chinar solves this by providing a dedicated, on-premises alternative built specifically for Azerbaijani rather than adapted from another tongue. By deploying on your own infrastructure, you eliminate per-hour metering and ensure that sensitive recordings never leave your network. This approach provides a secure, high-performance environment where Azerbaijani speech is recognized accurately, ensuring data privacy and removing the financial unpredictability of third-party cloud billing.
The Advantages of Localized Speech Intelligence
Eliminate per-hour billing and metering costs through on-infrastructure deployment
Ensure total data privacy and security as recordings never leave your internal network
Prevent linguistic misidentification where Azerbaijani is mistaken for Turkish
Achieve processing speeds four to seven times faster than benchmarked cloud services
Leverage models trained on genuine call-center audio, including background noise and interruptions
Reduce hardware overhead with specialized model sizes tailored to specific operational needs
Specialized Models for Diverse Use Cases
Chinar-L
Optimized for human-read transcripts with full punctuation and capitalization. Ideal for interviews, meetings, and compliance records, achieving 87% word accuracy on clear Azerbaijani speech.
Chinar-F
A lightweight model roughly 50x smaller than Chinar-L, designed for machine reading, archive search, and quality monitoring. It runs comfortably on hardware where larger models cannot.
On-Premises Deployment
Full control over your infrastructure with no third-party data retention, no external metering, and complete network isolation.
Robust Audio Handling
Trained on real-world call-center recordings—including overlapping speech and phone-line quality—rather than sterile, read speech.
Integrating Chinar into Your Workflow
Frequently Asked Questions
How does Chinar differ from global speech services?
Unlike global services that often adapt from related languages—sometimes returning Turkish text instead of Azerbaijani—Chinar is built specifically for the Azerbaijani language from the ground up.
Is the software faster than cloud-based alternatives?
Yes. In benchmarks against cloud speech services, Chinar has proven to be four to seven times faster.
What is the difference between the L and F models?
Chinar-L is designed for human readability (punctuation and capitalization) and high accuracy. Chinar-F is roughly 50 times smaller, making it cost-effective for machine-led analytics, search, and monitoring on modest hardware.
How is data privacy handled?
Because Chinar runs on your own infrastructure, recordings never leave your network, and there is no third-party data retention or external metering.
How does it handle low-quality audio or noise?
Chinar is trained on genuine call-center recordings, meaning it is built to handle background noise, interruptions, and standard phone-line quality rather than just clear, read speech.
Ready to move beyond per-hour billing?
Switch to a local, Azerbaijani-first transcription solution with Chinar.
Request a demo