Real-World Speech Recognition That Works Without the Internet

Deploy voice AI that runs fully offline on local hardware.

Let users speak their information instead of typing with the Sahara-v2 Voice Autofill.

Sahara-v2 processes audio independently of internet connectivity, ensuring consistent availability across critical sectors where network reliability is not guaranteed.

Platform Capabilities

The Connectivity Problem

Cloud-based voice AI has a fundamental weakness: it requires a stable internet connection. In African markets, that is not always a given. Hospitals in rural areas, field operations, government offices, and courts are places where connectivity is often unreliable at best. When your speech recognition lives in the cloud, network issues mean your entire workflow stops. Data cannot be processed, forms cannot be completed, and critical operations grind to a halt.

Sahara-v2 runs fully offline, processing audio directly on secure local hardware without ever needing to reach the internet.

Deployed on secure local hardware

Data processing operates independently of internet connectivity, providing a stable foundation for mission-critical applications.

Designed for a regulated environment

Sahara v2’s offline support ensures processing can occur without reliance on external cloud transmission. It supports data privacy by keeping sensitive information on local hardware.

Why This Matters

For many African operations, offline voice AI is not a backup plan but the only plan that works. When connectivity is unavailable, Sahara-v2 continues to deliver state-of-the-art performance. This makes  Sahara-v2 suitable for high-stakes, data-sensitive deployments validated by partners in healthcare, finance, legal, and government sectors.

Get Started​

Developers and Integrators

Access Sahara-v2 capabilities through a streamlined widget to build offline voice functionality into your applications.

Frequently Asked Questions

What languages does Sahara-v2 support?​

Sahara v2 supports African French and 23 new African languages. Key languages with state-of-the-art performance include Swahili, Kinyarwanda, Zulu, Hausa, Yoruba, Pidgin, Shona, and Twi. The release also features a new Accented English Speech Recognition Model supporting over 500 accents.

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Voice Autofill enables users to complete forms using voice input. This feature is optimized for high-friction workflows, including KYC (Know Your Customer) processes, application forms, and admission documents.

Yes. The platform provides full offline support powered by Nvidia hardware, ensuring data processing remains independent of internet connectivity.