Welcome to the decibri documentation

This documentation is here to help you get up and running with decibri and integrate it into your voice and audio applications. decibri is a cross-platform audio capture library for JavaScript. The Node.js package uses a native PortAudio addon with pre-built binaries. The browser package uses the Web Audio API with zero dependencies. Same API, different runtimes.

Node.js

Getting Started

Install, capture audio, and build real-time voice applications

API Reference

Constructor options, methods, events, and audio format details

Browser

Getting Started

Install, capture audio in the browser, and stream to your backend

API Reference

Constructor options, methods, events, and browser compatibility

Integrations

Step-by-step guides for using decibri with speech and audio processing tools.

Local (no API key, no cloud)

Sherpa-ONNX

Speech-to-Text

Real-time local transcription. No API key required.

Keyword Spotting

Detect spoken keywords and wake phrases. No API key required.

Voice Activity Detection

Detect speech vs silence with Silero VAD. No API key required.

Whisper.cpp

Speech-to-Text

Local transcription with OpenAI's Whisper model. No API key required.

Cloud (API key required)

Deepgram

Real-Time Transcription

Cloud speech-to-text with Deepgram's Nova-3 model. Free tier available.

AssemblyAI

Real-Time Transcription

Cloud speech-to-text with AssemblyAI's Universal-3 Pro Streaming model.

OpenAI

Real-Time Transcription

Stream audio to OpenAI's Realtime API for cloud-based speech-to-text.

Mistral

Real-Time Transcription

Cloud speech-to-text with Mistral's Voxtral open-weights model.

AWS

Streaming Transcription

Real-time cloud speech-to-text with AWS Transcribe.

Google

Streaming Transcription

Real-time cloud speech-to-text with Google Cloud Speech-to-Text.

Azure

Streaming Transcription

Real-time cloud speech-to-text with Azure Speech-to-Text.