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Picovoice is built by developers for developers. It’s not surprising that there’s a long list of SDKs that are available to build voice AI-powered products with Picovoice’s on-device voice recognition technology. StackOverflow developer survey shows that while React.js is the most commonly used web framework, Rust is the most loved and Python is the most wanted language by developers. The survey also shows that more than 10k JavaScript developers want to start or continue developing in Go or Rust. [1] Whether you want to deploy on-device speech models with Rust, Python or JavaScript, there is a Picovoice SDK for all. Pick your favourite SDK and start building for free.

Mobile: Picovoice Mobile SDKs enable developers to create mobile applications elevated with on-device voice recognition benefits and without the limitations of Android [Android Speech Recognizer or Google Assistant Actions] and iOS [iOS Speech Recognition API or SiriKit] kits.

Web: For the truly hands-free voice-enabled web experience across the browsers, Picovoice Web SDKs are the only solution in the market.

  • Rhino Speech-to-Intent React demo to add offline voice recognition to web browsers
  • Chrome extension with hotword triggering to activate Google search hands free, built with WebAssembly

Desktop, Server or Single Board Computers: Picovoice SDKs can be used to build voice experiences run across Linux, macOS, Windows, BeagleBone, NVIDIA Jetson Nano and Raspberry Pi.

Microcontrollers: Picovoice runs even on tiny microcontrollers to create voice experiences.

  • Arduino on-device voice recognition demo for smart lighting
  • ST on-device voice recognition demo for smart lighting
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