[ embedded voice AI powered by deep learning ]
Runs locally without an internet connection. Protects user's data as nothing is sent to the cloud.
Uses proprietary deep learning technology that enables cutting-edge models to run on commodity (embedded) hardware efficiently.
Resilient to noise, reverberation, and works across a variety of accents. Works everywhere for anyone.
Plug and Play
Enables customizations within seconds. Reduces time to market while promoting user's identity.
Runs everywhere. Picovoice’s core technology is OS/CPU independent. Linux, Mac, Windows, Android, iOS, watchOS, Raspberry Pi, ARM Cortex-A, ARM Cortex-M, and an ever-growing list of embedded platforms are supported.
Picovoice empowers users to evaluate its technology independently. Facilitates data-driven decision making.
Zero Lead Time
Uses proprietary AI algorithms to build models for any custom wake word/command within seconds. Removes the hassle of time-consuming and costly data gathering phase.
Can detect many commands/hotwords concurrently with virtually no additional CPU/memory footprint.
Can run with as low as 240 KB of memory and 3.4% CPU usage on a Raspberry Pi 3. Natural fit for IoT applications. Runs on Android, iOS, watchOS, Raspberry Pi, ARM Cortex-A, ARM Cortex-M, etc.
Outperforms existing solutions with high margins in clean and noisy environments.
Has a fast-growing and vibrant open-source community. Expedite your development by reusing numerous publicly-available references designs.
Can create models for almost any phrase in any language.
No limit on the size of vocabulary. Provides large vocabulary transcription capabilities on embedded platforms.
Continuous and Real-Time
Transcribes audio in real time. Reduces latency and improves the user experience.
Runs in real-time with only 5.6 MB of memory and 25% CPU usage on a Raspberry Pi 3. Natural fit for IoT platforms. Android, iOS, Raspberry Pi, and a growing number of IoT platforms are supported.