Picovoice/porcupine

Health v2 · maintenance only

Adoption not part of the score

4922 stars · 577 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Porcupine is a highly-accurate, lightweight on-device wake word detection engine powered by deep neural networks. It enables always-listening voice-enabled applications across mobile, web, desktop, and embedded platforms, with custom wake word training via Picovoice Console.

Use cases

• detect a wake word to activate a voice assistant
• add hands-free voice activation to an IoT device
• run keyword spotting entirely on-device without cloud calls
• trigger voice commands on a Raspberry Pi or microcontroller
• add wake word detection to an Android or iOS app
• listen for a custom hotword in a browser-based app

When to choose

• you need privacy-preserving, fully on-device wake word detection
• you target embedded or IoT hardware with limited compute
• you need cross-platform SDKs (Python, Node, Android, iOS, web, embedded)
• you want to train custom wake words with a self-service console

When to avoid

• you need full speech-to-text transcription rather than keyword spotting
• you require a fully open-source model pipeline (custom models go through Picovoice Console)
• you need offline training of wake word models without external services

Facets

library · maturity stable

speech-recognition machine-learning audio-processing sdk speech-processing machine-learning iot embedded-systems cross-platform cross-platform python embedded windows browser wasm wake-word-detection keyword-spotting hotword-detection voice-activation on-device always-listening handsfree nodejs android ios web-server macos linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Picovoice/porcupine")