Picovoice achieves cloud-level accuracy with tiny Speech-to-Text models, addressing privacy, cost, and reliability problems of the $30 Billion transcription market. Efficient AI models that can run anywhere bring the control back to enterprises and are 10x more cost-effective.
Better
Picovoice Speech-to-Text (STT) is private-by-design and 10x to 22x more cost-effective compared to cloud-based automatic speech recognition APIs. Picovoice on-device STT is intrinsically private and eliminates the cloud costs by bringing compute to data, instead of transmitting data to the cloud.
Comparison of cost of Picovoice Speech-to-Text against leading cloud-based alternatives.
Faster
Picovoice STT guarantees zero latency and reliability and prevents delays by cutting the dependency on connectivity to process voice data.
Stronger
Picovoice publishes an open-source reproducible benchmark for its STT engines as well to showcase they match the accuracy of major cloud providers.
Comparison of accuracy of Picovoice Speech-to-Text against leading cloud-based alternatives.
STT engines can be customized on Picovoice Console to boost accuracy even more. For example, while a medical device company can customize the model with medical terms, a media company can do it with celebrity names on Picovoice Console.
Enterprises can choose Leopard Speech-to-Text for non-streaming use cases and Cheetah Streaming Speech-to-Text for real-time transcription. Developers can leverage Picovoice's free offerings and resources to start building and experimenting with no strings attached. More information is on Picovoice's pricing page.
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