ricky0123/vad

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

2043 stars · 269 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A JavaScript/TypeScript library that runs Silero VAD via ONNX Runtime Web to detect voice activity directly in the browser. It provides a simple API for microphone permission prompts and callbacks on audio segments containing speech, with a React wrapper package included.

Use cases

• detect when a user is speaking in the browser
• send only speech segments of audio to a server for transcription
• show a speaking indicator animation during voice chat
• run voice activity detection client-side without a backend
• build a push-to-talk or voice-triggered web interface
• preprocess audio before speech-to-text in a web app

When to choose

• you need accurate, real-time voice activity detection in a browser
• you want a simple callback-based API instead of raw ONNX model handling
• you're building a React app and want hooks for VAD
• you want to reduce audio sent to speech-to-text services by filtering silence

When to avoid

• you need server-side Node.js VAD - node support is discontinued as of Oct 2024
• you need voice activity detection outside the browser (Python, mobile native, embedded)
• you need full speech recognition rather than just speech detection
• you require a permissively licensed dependency - the license is non-standard

Facets

library · maturity active

speech-recognition audio-processing machine-learning sdk speech-processing web-development machine-learning frontend browser voice-activity-detection silero-vad onnx-runtime-web web-audio-api react microphone real-time-audio audio web-server javascript nodejs typescript

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