On-Device AI Platform

On-device AI for real‑time voice, language, and vision understanding

Build private AI experiences and deploy reliably to millions of devices.

Loved by developers, trusted by enterprises

products

15 production-ready products across voice, language, and vision

Each product ships as a self-contained SDK. No cloud API calls, no network latency, no data leaving the device.

Voice Activity Detection

Delivers higher accuracy than WebRTC and Silero even in noisy environments, while running 9× more efficiently than Silero.

On-device AI SDKs

Picovoice distills years of research in model training and inference into production-grade on-device AI SDKs. Start building on your own and get up and running in hours, or talk to sales for enterprise support.

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Cookbook

Real products. Built with these SDKs.

End-to-end blueprints for the on-device AI features you see in flagship apps. Watch the demo, run the live version, or pull the code.

Live Captioning and Translation

Real-time captioning with optional translation, on-device. The same flagship-OS feature that runs across any audio source on the phone — without sending anything to the cloud.

Voice Activity Detection+Streaming Speech-to-Text+Translation

Voice Activity DetectionWake WordSpeech-to-IntentStreaming Speech-to-TextSpeech-to-TextStreaming Text-to-SpeechSpeaker RecognitionSpeaker DiarizationStreaming Speaker DiarizationSpoken Language IdentificationNoise SuppressionTranslationLarge Language ModelsOptical Character RecognitionVision-Language ModelsVoice Activity DetectionWake WordSpeech-to-IntentStreaming Speech-to-TextSpeech-to-TextStreaming Text-to-SpeechSpeaker RecognitionSpeaker DiarizationStreaming Speaker DiarizationSpoken Language IdentificationNoise SuppressionTranslationLarge Language ModelsOptical Character RecognitionVision-Language Models

Why Picovoice

Bring cloud-grade AI to devices.

Eliminate variable latency, power drain from connectivity, and unbounded cost. Compose one or many on-device AI SDKs to build end-to-end features.

Failed approach

Cloud AI squeezed onto hardware

Retrofitting cloud models for the edge loses accuracy, struggles across diverse environments, and still depends on the connectivity it was meant to replace.

Picovoice approach

On-device AI, purpose-built

Architected from the ground up for on-device execution. Picovoice owns the full pipeline — training, compression, and inference — to deliver performance the retrofit path can't reach.

We did not retrofit cloud AI for the edge. We built an on-device AI stack from the ground up — and that foundation is now driving faster product releases and growing commercial adoption.

You are one click away from production-grade on-device AI.

Pick the path that fits how you work.

Comfortable coding?

Start Free

Start with a free trial and validate the technology before ever talking to sales. We are more confident in our SDKs than in our slide decks.

Get a free trial

Budget owner?

Talk to Sales

Sales team can walk you through the platform at a high level, engagement models, and the path to production. Expect a working session, not a pitch deck.