Transcribe meetings in real-time or post-meeting, summarize, and analyze them, entirely on-device, without sharing confidential information and trade secrets with cloud providers.
An hour meeting costs enterprises $750 on average. However, many of them don't get the value back.
Teams want to capture and share spoken content without uploading audio.
Students or participants need captioning during lectures or presentations.
Teams discuss product-specific terms during planning or QA calls.
Absolutely. Picovoice's Leopard Speech-to-Text and Cheetah Streaming Speech-to-Text engines deliver transcription accuracy that rivals major cloud services, with strong performance in internal testing and public benchmarks. We publish open-source benchmarks to showcase the accuracy of our engines: Open-source Speech-to-Text Benchmark, and Open-source Real-time Transcription Benchmark. If you're using specialized terminology—like product names or acronyms—custom vocabularies further enhance recognition. You'll get clear, readable transcripts without sacrificing privacy or speed.
Yes—100% of audio processing happens on-device or within your secured environment. No audio, transcripts, or metadata are sent to external servers. This ensures compliance with privacy regulations like GDPR or HIPAA, making it ideal for sensitive meetings.
All Picovoice engines are designed for offline operation on desktops, mobile devices, embedded systems, and on-prem servers. The internet connectivity is required for usage reporting and billing purposes. This means meetings can be recorded,transcribed and analyzed without sending any data to the cloud.
