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AudioVisualizerKit

Provides the computational assistance for drawing the audio visualizer.

Requirements

  • Development with Xcode 15.4+
  • Written in Swift 5.10
  • Compatible with iOS 17.0+, macOS 14.0+

Privacy Manifest

This library does not collect or track user information, so it does not include a PrivacyInfo.xcprivacy file.

Installation

AudioVisualizerKit is available through Swift Package Manager.

Xcode

  1. File > Add Package Dependencies…
  2. Search https://github.com/Kyome22/AudioVisualizerKit.git.
  3. Add package and link AudioVisualizerKit to your application target.

CLI

  1. Create Package.swift that describes dependencies.

    // swift-tools-version: 5.10 import PackageDescription let package = Package( name: "SomeProduct", products: [ .library(name: "SomeProduct", targets: ["SomeProduct"]) ], dependencies: [ .package(url: "https://github.com/Kyome22/AudioVisualizerKit.git", exact: "1.0.0") ], targets: [ .target( name: "SomeProduct", dependencies: [ .product(name: "AudioVisualizerKit", package: "AudioVisualizerKit") ] ) ] )
  2. Run the following command in Terminal.

Usage

  1. Get the URL of the music file.
  2. Use AudioAnalyzer to play music and get magnitudes and RMS.
    • You can specify the FFT size.
    • You can specify a window function (hann or hamming or blackman).
  3. Use AmplitudeSpectrumView to draw the audio visualizer.
    • You can select the shape type (straight or ring).
    • You can specify the drawing range.
    • Pass RMS to enable color linked to sound intensity.
import AudioVisualizerKit import SwiftUI struct ContentView: View { let audioAnalyzer = AudioAnalyzer(fftSize: 2048, windowType: .hannWindow) var body: some View { AmplitudeSpectrumView( shapeType: .straight, magnitudes: audioAnalyzer.magnitudes, range: 0 ..< 128, rms: audioAnalyzer.rms ) .padding() .onAppear { let url = Bundle.main.url(forResource: "example", withExtension: "mp3")! try? audioAnalyzer.prepare(url: url) try? audioAnalyzer.play() } .onDisappear { audioAnalyzer.stop() } } }

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Provides the computational assistance for drawing the audio visualizer.

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