AI-Powered Audio Visualizations for Professional Beat Platforms
Interactive demonstrations - click to explore
Complete professional player with visualizations + frequency meters
SoundCloud-style scrubber with professional meters
Advanced multi-mode visualizer with proper beat sync
Simple demo showing tight audio synchronization
Original 3-style visualizer with simulated data
Debug tool for verifying audio pipeline
Complete guides for implementation
Deep dive into architecture, shaders, algorithms, and WebGPU implementation
Complete API reference, installation, usage examples, and configuration options
Get up and running in 5 minutes - copy files, install deps, integrate
Best practices for integrating visualizations into beat selling platforms
Complete code examples for inline player and full modal implementation
Production-ready components for your beat platform
Complete modal with tabs (Preview / Visualizer / Details) + sidebar for licensing
Bottom bar player with 3D wave visualization + Bass/Mid/High meters
Core visualization engine - 300+ lines of production-ready TypeScript
React component wrapper + useAudioVisualizer hook
AI-powered audio analysis using Essentia.js (BPM, genre, key detection)
Built with cutting-edge web technologies
Hardware acceleration for 1M+ particles with compute shaders
Automatic BPM, genre, and key detection using Essentia.js ML models
Particles, Tunnel, 3D Waveform, Kaleidoscope - all beat-reactive
Real-time Bass/Mid/High frequency analysis + spectrum analyzer
60 FPS on desktop, adaptive particle count for mobile
React components + vanilla JS - works with any framework
# Install dependencies
npm install three@0.170.0 essentia.js@0.1.3
# Copy files to your project
cp -r src/* ./src/components/AudioVisualizer/
# Import and use
import { AudioVisualizerReact } from './components/AudioVisualizer/AudioVisualizerReact';
<AudioVisualizerReact
audioUrl="/beats/trap.mp3"
style="auto"
onAnalyzed={(features) => console.log(features.bpm)}
/>