Generate waveform images from audio files on iOS, macOS & visionOS in Swift. Native SwiftUI & UIKit views.
DSWaveformImage offers a native interfaces for drawing the envelope waveform of audio data
in iOS, iPadOS, macOS, visionOS or via Catalyst. To do so, you can use
WaveformImageView
(UIKit) / WaveformView
(SwiftUI) to render a static waveform from an audio file orWaveformLiveView
(UIKit) / WaveformLiveCanvas
(SwiftUI) to realtime render a waveform of live audio data (e.g. from AVAudioRecorder
)WaveformImageDrawer
to generate a waveform UIImage
from an audio fileAdditionally, you can get a waveform’s (normalized) [Float]
samples directly as well by
creating an instance of WaveformAnalyzer
.
For a practical real-world example usage of a SwiftUI live audio recording waveform rendering, see RecordingIndicatorView.
You may also find the following iOS controls written in Swift interesting:
I’m doing all this for fun and joy and because I strongly believe in the power of open source. On the off-chance though, that using my library has brought joy to you and you just feel like saying “thank you”, I would smile like a 4-year old getting a huge ice cream cone, if you’d support my via one of the sponsoring buttons ☺️💕
Alternatively, consider supporting me by downloading one of my side project iOS apps. If you’re feeling in the mood of sending someone else a lovely gesture of appreciation, maybe check out my iOS app 💌 SoundCard to send them a real postcard with a personal audio message. Or download my ad-supported free to play game 🕹️ Snekris for iOS.
https://github.com/dmrschmidt/DSWaveformImage
and set “Up to Next Major” with “14.0.0”import DSWaveformImage // for core classes to generate `UIImage` / `NSImage` directly
import DSWaveformImageViews // if you want to use the native UIKit / SwiftUI views
DSWaveformImage
provides 3 kinds of tools to use
The core renderes and processors as well as SwiftUI views natively support iOS & macOS, using UIImage
& NSImage
respectively.
WaveformView
- renders a one-off waveform from an audio file:@State var audioURL = Bundle.main.url(forResource: "example_sound", withExtension: "m4a")!
WaveformView(audioURL: audioURL)
Default styling may be overridden if you have more complex requirements:
@State var audioURL = Bundle.main.url(forResource: "example_sound", withExtension: "m4a")!
WaveformView(audioURL: audioURL) { waveformShape in
waveformShape
.stroke(LinearGradient(colors: [.red, [.green, red, orange], startPoint: .zero, endPoint: .topTrailing), lineWidth: 3)
}
Similar to AsyncImage, a placeholder can be
set to show until the load and render operation completes successfully. Thanks to @alfogrillo!
WaveformView(audioURL: audioURL) { waveformShape in
waveformShape
.stroke(LinearGradient(colors: [.red, [.green, red, orange], startPoint: .zero, endPoint: .topTrailing), lineWidth: 3)
} placeholder: {
ProgressView()
}
WaveformLiveCanvas
- renders a live waveform from (0...1)
normalized samples:@StateObject private var audioRecorder: AudioRecorder = AudioRecorder() // just an example
WaveformLiveCanvas(samples: audioRecorder.samples)
WaveformImageView
- renders a one-off waveform from an audio file:let audioURL = Bundle.main.url(forResource: "example_sound", withExtension: "m4a")!
waveformImageView = WaveformImageView(frame: CGRect(x: 0, y: 0, width: 500, height: 300)
waveformImageView.waveformAudioURL = audioURL
WaveformLiveView
- renders a live waveform from (0...1)
normalized samples:Find a full example in the sample project’s RecordingViewController.
let waveformView = WaveformLiveView()
// configure and start AVAudioRecorder
let recorder = AVAudioRecorder()
recorder.isMeteringEnabled = true // required to get current power levels
// after all the other recording (omitted for focus) setup, periodically (every 20ms or so):
recorder.updateMeters() // gets the current value
let currentAmplitude = 1 - pow(10, recorder.averagePower(forChannel: 0) / 20)
waveformView.add(sample: currentAmplitude)
Note: Calculations are always performed and returned on a background thread, so make sure to return to the main thread before doing any UI work.
Check Waveform.Configuration
in WaveformImageTypes for various configuration options.
WaveformImageDrawer
- creates a UIImage
waveform from an audio file:let waveformImageDrawer = WaveformImageDrawer()
let audioURL = Bundle.main.url(forResource: "example_sound", withExtension: "m4a")!
let image = try await waveformImageDrawer.waveformImage(
fromAudioAt: audioURL,
with: .init(size: topWaveformView.bounds.size, style: .filled(UIColor.black)),
renderer: LinearWaveformRenderer()
)
// need to jump back to main queue
DispatchQueue.main.async {
self.topWaveformView.image = image
}
WaveformAnalyzer
- calculates an audio file’s waveform sample:let audioURL = Bundle.main.url(forResource: "example_sound", withExtension: "m4a")!
waveformAnalyzer = WaveformAnalyzer()
let samples = try await waveformAnalyzer.samples(fromAudioAt: audioURL, count: 200)
print("samples: \(samples)")
If you’re playing back audio files and would like to indicate the playback progress to your users, you can find inspiration in the example app. UIKit and SwiftUI examples are provided.
Both approaches will result in something like the image below.
There is currently no plan to integrate this as a 1st class citizen to the library itself, as every app will have different design requirements, and WaveformImageDrawer
as well as WaveformAnalyzer
are as simple to use as the views themselves as you can see in the examples.
For one example way to display waveforms for audio files on remote URLs see https://github.com/dmrschmidt/DSWaveformImage/issues/22.
Waveforms can be rendered in 2 different ways and 5 different styles each.
By default LinearWaveformRenderer
is used, which draws a linear 2D amplitude envelope.
CircularWaveformRenderer
is available as an alternative, which can be passed in to the WaveformView
or WaveformLiveView
respectively. It draws a circular
2D amplitude envelope.
You can implement your own renderer by implementing WaveformRenderer
.
The following styles can be applied to either renderer:
https://user-images.githubusercontent.com/69365/127739821-061a4345-0adc-4cc1-bfd6-f7cfbe1268c9.mov
WaveformAnalyzer
and WaveformImageDrawer
now return Result<[Float] | DSImage, Error>
when used with completionHandler for better error handlingWaveformAnalyzer
is now stateless and requires the URL in .samples(fromAudioAt:count:qos:)
instead of its constructorWaveformView
has a new constructor that provides optional access to the underlying WaveformShape
, which is now used for rendering, see #78dampening
& similar were corrected to damping
etc in 11460b8b. Most notably in Waveform.Configuration
. See #64..outlined
& .gradientOutlined
were added to Waveform.Style
, see https://github.com/dmrschmidt/DSWaveformImage#what-it-looks-likeWaveform.Position
was removed. If you were using it to place the view somewhere, move this responsibility up to its parent for positioning, like with any other view as well.WaveformRenderer
.CircularWaveformRenderer
has been added.position
was removed from Waveform.Configuration
, see 0447737.Waveform.Style
option have been added and need to be accounted for in switch
statements etc.the library was split into two: DSWaveformImage
and DSWaveformImageViews
. If you’ve used any of the native views bevore, just add the additional import DSWaveformImageViews
.
The SwiftUI views have changed from taking a Binding to the respective plain values instead.
a few public API’s have been slightly changed to be more concise. All types have also been grouped under the Waveform
enum-namespace. Meaning WaveformConfiguration
for instance has become Waveform.Configuration
and so on.
colors have moved into associated values on the respective style
enum.
Waveform
and the UIImage
category have been removed in 6.0.0 to simplify the API.
See Usage
for current usage.
SoundCard - postcards with sound lets you send real, physical postcards with audio messages. Right from your iOS device.
DSWaveformImage is used to draw the waveforms of the audio messages that get printed on the postcards sent by SoundCard - postcards with audio.