A powerful TypeScript library for detecting beats-per-minute (BPM) in real-time.

📚 Documentation • 🎯 Examples • 🚀 Getting Started

• Zero dependencies - Uses native Web Audio API
• Real-time analysis - Analyze audio/video as it plays
• Multiple sources - Works with files, streams, microphone, or any audio node
• Typed events - Full TypeScript support with autocomplete
• Client-side only - 100% privacy-focused, no data collection
• Supports MP3, FLAC, WAV formats

npm install realtime-bpm-analyzer

import { createRealtimeBpmAnalyzer } from 'realtime-bpm-analyzer';

// Create analyzer
const analyzer = await createRealtimeBpmAnalyzer(audioContext);

// Connect your audio source
audioSource.connect(analyzer.node);

// Listen for BPM detection
analyzer.on('bpm', (data) => {
  console.log('BPM detected:', data.bpm[0].tempo);
});

📖 Full Documentation - Complete guides, API reference, and tutorials

Key sections:

• Quick Start Guide - Get up and running
• API Reference - Complete API documentation
• Examples - Live demos and code samples
• Migration to v5 - Upgrading from v4.x

• Audio Players - Display BPM while playing tracks
• Live Streams - Continuous BPM detection from radio/streaming
• File Analysis - Offline BPM detection from uploaded files
• Microphone Input - Real-time analysis from live audio
• DJ Applications - Beat matching and tempo detection

# Install dependencies
npm install

# Run a specific example
npm run dev --workspace=examples/01-vanilla-basic

# Available examples:
# - 01-vanilla-basic, 02-vanilla-streaming, 03-vanilla-microphone
# - 04-react-basic, 05-react-streaming, 06-react-microphone  
# - 07-vue-basic, 08-vue-streaming, 09-vue-microphone

• 100% client-side processing
• No data collection or transmission
• No audio recording - real-time analysis only
• Open source - fully auditable code

See privacy.md and security.md for details.

Contributions are welcome! See contributing.md for guidelines.

Apache-2.0 License - See licence.md for details.

For commercial licensing inquiries, contact: d.lepaux@gmail.com

Inspired by Tornqvist's bpm-detective and Joe Sullivan's algorithm.