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react-native-audio-analyzer

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A powerful React Native library for audio analysis, waveform visualization, and amplitude data extraction. Create stunning audio visualizations with high-performance native C++ implementation.

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# react-native-audio-analyzer 🎵 A powerful library designed for React Native to visualize audio tracks, extract amplitude data, and create stunning audio waveforms. This package offers robust tools that enable developers to process audio files efficiently, obtaining amplitude arrays for in-depth analysis or creating visually appealing audio waveforms within React Native applications. ## Create Stunning Audio Waveforms 🌊 With this library, unleash creativity by generating captivating audio waveforms from your audio tracks, providing an engaging visual representation of sound. <img src="images/image.png" width="300" alt='Audio Waveform Example'> ## Features ✨ - **Audio Analysis**: Easily analyze audio tracks to obtain amplitude data for visualization or analysis purposes - **Flexible Visualization**: Visualize amplitude data in a customizable manner, allowing developers to create diverse representations based on audio characteristics, including stunning audio waveforms - **Sample and Scale Data**: Utilize functions to sample and scale amplitude data, providing more granular control over visualization output - **Platform Compatibility**: Compatible with both Android and iOS platforms, ensuring a consistent experience across devices - **High Performance**: Built with C++ and miniaudio library for optimal performance - **TypeScript Support**: Full TypeScript support with comprehensive type definitions ## Installation 🚀 ```bash npm install react-native-audio-analyzer react-native-nitro-modules # or yarn add react-native-audio-analyzer react-native-nitro-modules ``` > **Note**: `react-native-nitro-modules` is required as this library relies on [Nitro Modules](https://nitro.margelo.com/). ### iOS Setup ```bash cd ios && pod install # or bundle exec pod install ``` ## Usage 🎶 ### Basic Usage ```typescript import { computeAmplitude } from 'react-native-audio-analyzer'; // Analyze audio file and get amplitude data const amplitudeData = computeAmplitude('/path/to/audio.mp3', 1000); console.log('Amplitude data:', amplitudeData); ``` ### Creating Audio Waveforms ```typescript import React, { useCallback, useEffect, useState } from 'react'; import { View, StyleSheet, ScrollView } from 'react-native'; import { computeAmplitude } from 'react-native-audio-analyzer'; export default function AudioWaveform() { const [amplitudeData, setAmplitudeData] = useState<number[]>([]); const analyzeAudio = useCallback(async () => { try { const result = computeAmplitude( '/path/to/your/audio.mp3', 1000 // Number of amplitude samples to generate ); setAmplitudeData(result); } catch (error) { console.error('Error analyzing audio:', error); } }, []); useEffect(() => { analyzeAudio(); }, [analyzeAudio]); return ( <ScrollView horizontal contentContainerStyle={styles.container}> <View style={styles.waveform}> {amplitudeData.map((amplitude, index) => ( <View key={index} style={[ styles.bar, { height: 500 * amplitude } // Scale the height based on amplitude ]} /> ))} </View> </ScrollView> ); } const styles = StyleSheet.create({ container: { flexGrow: 1, }, waveform: { flex: 1, flexDirection: 'row', alignItems: 'center', columnGap: 1, }, bar: { width: 3, backgroundColor: '#007AFF', borderRadius: 1, }, }); ``` ### Advanced Usage ```typescript import { computeAmplitude } from 'react-native-audio-analyzer'; // Customize the number of amplitude samples const highResolution = computeAmplitude('/audio.mp3', 2000); // More detailed const lowResolution = computeAmplitude('/audio.mp3', 100); // Less detailed // Process the amplitude data for different visualizations const normalizedData = highResolution.map(amplitude => Math.min(amplitude * 100, 1.0) // Normalize to 0-1 range ); // Create different visualization styles const createWaveform = (data: number[], style: 'bars' | 'line' | 'area') => { switch (style) { case 'bars': return data.map((amp, i) => ({ x: i, y: amp })); case 'line': return data.map((amp, i) => ({ x: i, y: amp })); case 'area': return data.map((amp, i) => ({ x: i, y: amp, height: amp })); } }; ``` ## API Reference 📚 ### `load(url: string): Promise<string>` Load and cache audio file. #### Parameters - `url` (string): Url to the audio file to be cached #### Returns - `Promise<string>`: Promise with absolute file system path to cached file. #### Example ```typescript const path = load('https://file-examples.com/storage/fe180a8b03688f5559b9baf/2017/11/file_example_MP3_1MG.mp3', 500); // Returns: /data/user/0/audioanalyzer.example/cache/9349e0a758090499d982e320a10273ab.audio ``` --- ### `computeAmplitude(filePath: string, outputSampleCount: number): number[]` Analyzes an audio file and returns an array of amplitude values. #### Parameters - `filePath` (string): Path to the audio file to analyze - `outputSampleCount` (number): Number of amplitude samples to generate #### Returns - `number[]`: Array of amplitude values between 0 and 1 #### Example ```typescript const amplitudes = computeAmplitude(path, 500); // Returns: [0.1, 0.3, 0.5, 0.2, ...] (500 values) ``` ## Supported Audio Formats 🎼 This library supports various audio formats through the miniaudio library: - **Lossy**: MP3, AAC, OGG Vorbis, Opus - **Lossless**: FLAC, WAV, AIFF - **Other**: WMA, M4A, and more ## Performance Considerations ⚡ - The library uses native C++ code for optimal performance - Audio processing is done efficiently with minimal memory usage - Large audio files are processed in chunks to maintain responsiveness - Consider using appropriate `outputSampleCount` values based on your visualization needs ## Contributing 🤝 We welcome contributions! Please see our [contributing guide](CONTRIBUTING.md) to learn how to contribute to this repository and the development workflow. ### Development Setup ```bash # Clone the repository git clone https://github.com/exzos28/react-native-audio-analyzer.git cd react-native-audio-analyzer # Install dependencies yarn install # Run the example app yarn example ``` ## License 📝 This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. ## Related Projects 🔗 - [react-native-nitro-modules](https://github.com/margelo/react-native-nitro-modules) - The underlying native module system - [miniaudio](https://github.com/mackron/miniaudio) - The audio processing library --- Made with ❤️ by the React Native community