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Picovoice

by Picovoice · Since 2018
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Quick facts
VendorPicovoice
Year launched2018
StatusActive
LocationVancouver, Canada
Countries servedN/A
Languages1
IntegrationsN/A
Free tierNO
Free trialYES
Contact salesYES

About Picovoice

Picovoice provides a platform for building voice AI and LLM-powered products.

Picovoice is a developer-focused platform offering a suite of on-device AI SDKs for voice, language, and vision applications. Its core value proposition is enabling private, low-latency, and reliable voice interfaces by processing all data locally, eliminating the need for cloud connectivity. The platform includes a range of production-ready products such as Porcupine for wake word detection, Cheetah for streaming speech-to-text, Rhino for speech-to-intent, and Orca for text-to-speech. These tools allow developers to build features like voice assistants, live captioning, and command control. Picovoice supports a wide array of platforms, including mobile, web, desktop, and embedded systems. While detailed pricing requires sales contact, a free trial is available for evaluation. The company emphasizes performance and provides open-source benchmarks to compare its technology against cloud-based alternatives.

Pros & Cons

Pros
  • Processes voice data entirely on-device, ensuring user privacy and GDPR/HIPAA compliance.
  • Edge-first architecture provides low-latency performance without network delays.
  • Supports a wide range of platforms including web, mobile, desktop, and embedded systems.
  • Offers a self-service console for training custom wake words and voice commands.
  • Provides open-source benchmarks for performance comparison against competitors.
Cons
  • Pricing is not publicly listed, requiring contact with the sales team for enterprise plans.
  • Full customization and integration may require significant developer expertise.

Features

Key features

On-Device Processing

All AI models run locally on the device, ensuring privacy, low latency, and no reliance on cloud connectivity.

Wake Word Detection

Custom, branded wake word engine (Porcupine) to activate devices and applications with a specific phrase.

Streaming Speech-to-Text

Real-time transcription of audio streams (Cheetah) for applications like live captioning.

Speech-to-Intent

An engine (Rhino) that infers user intent from spoken commands directly on the device.

Text-to-Speech

Synthesizes voice from text (Orca) for creating voice responses and assistants.

Speaker Recognition

Identifies speakers from their voice (Eagle) for personalization and security.

Noise Suppression

Real-time noise removal from audio streams (Koala) to improve clarity.

Additional features

Voice Activity Detection

Detects the presence of speech in an audio stream (Cobra).

Speaker Diarization

Identifies and labels different speakers in a single audio stream (Falcon).

Spoken Language Identification

Identifies the language being spoken from a list of supported languages (Bat).

Large Language Models (LLM)

On-device inference engine for large language models (picoLLM).

Cross-Platform Support

SDKs are available for web, mobile (iOS, Android), desktop (Windows, macOS, Linux), and embedded systems like Raspberry Pi.

Self-Service Console

A web-based console for training custom voice models, such as wake words and voice commands, without ML expertise.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Countries served
1
Interface languages
Billing currencies

Interface languages

English

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