index.md

---

title: AudioWorkletProcessor
slug: Web/API/AudioWorkletProcessor
page-type: web-api-interface
browser-compat: api.AudioWorkletProcessor

---

{{APIRef("Web Audio API")}}

The AudioWorkletProcessor interface of the Web Audio API represents an audio processing code behind a custom {{domxref("AudioWorkletNode")}}. It lives in the {{domxref("AudioWorkletGlobalScope")}} and runs on the Web Audio rendering thread. In turn, an {{domxref("AudioWorkletNode")}} based on it runs on the main thread.

Constructor

Note: The AudioWorkletProcessor and classes that derive from it cannot be instantiated directly from a user-supplied code. Instead, they are created only internally by the creation of an associated {{domxref("AudioWorkletNode")}}s. The constructor of the deriving class is getting called with an options object, so you can perform a custom initialization procedures — see constructor page for details.

• {{domxref("AudioWorkletProcessor.AudioWorkletProcessor", "AudioWorkletProcessor()")}}

  • : Creates a new instance of an AudioWorkletProcessor object.

Instance properties

• {{domxref("AudioWorkletProcessor.port", "port")}} {{ReadOnlyInline}}

  • : Returns a {{domxref("MessagePort")}} used for bidirectional communication between the processor and the {{domxref("AudioWorkletNode")}} which it belongs to. The other end is available under the {{domxref("AudioWorkletNode.port", "port")}} property of the node.

Instance methods

The AudioWorkletProcessor interface does not define any methods of its own. However, you must provide a {{domxref("AudioWorkletProcessor.process", "process()")}} method, which is called in order to process the audio stream.

Events

The AudioWorkletProcessor interface doesn't respond to any events.

Usage notes

Deriving classes

To define custom audio processing code you have to derive a class from the AudioWorkletProcessor interface. Although not defined on the interface, the deriving class must have the {{domxref("AudioWorkletProcessor.process", "process")}} method. This method gets called for each block of 128 sample-frames and takes input and output arrays and calculated values of custom {{domxref("AudioParam")}}s (if they are defined) as parameters. You can use inputs and audio parameter values to fill the outputs array, which by default holds silence.

Optionally, if you want custom {{domxref("AudioParam")}}s on your node, you can supply a {{domxref("AudioWorkletProcessor.parameterDescriptors", "parameterDescriptors")}} property as a static getter on the processor. The array of {{domxref("AudioParamDescriptor")}}-based objects returned is used internally to create the {{domxref("AudioParam")}}s during the instantiation of the AudioWorkletNode.

The resulting AudioParams reside in the {{domxref("AudioWorkletNode.parameters", "parameters")}} property of the node and can be automated using standard methods such as linearRampToValueAtTime. Their calculated values will be passed into the {{domxref("AudioWorkletProcessor.process", "process()")}} method of the processor for you to shape the node output accordingly.

Processing audio

An example algorithm of creating a custom audio processing mechanism is:

1. Create a separate file;

2. In the file:

   1. Extend the AudioWorkletProcessor class (see "Deriving classes" section) and supply your own {{domxref("AudioWorkletProcessor.process", "process()")}} method in it;

   2. Register the processor using {{domxref("AudioWorkletGlobalScope.registerProcessor()")}} method;

3. Load the file using {{domxref("Worklet.addModule", "addModule()")}} method on your audio context's {{domxref("BaseAudioContext.audioWorklet", "audioWorklet")}} property;

4. Create an {{domxref("AudioWorkletNode")}} based on the processor. The processor will be instantiated internally by the AudioWorkletNode constructor.

5. Connect the node to the other nodes.

Examples

In the example below we create a custom {{domxref("AudioWorkletNode")}} that outputs white noise.

First, we need to define a custom AudioWorkletProcessor, which will output white noise, and register it. Note that this should be done in a separate file.

// white-noise-processor.js
class WhiteNoiseProcessor extends AudioWorkletProcessor {
  process(inputs, outputs, parameters) {
    const output = outputs[0];
    output.forEach((channel) => {
      for (let i = 0; i < channel.length; i++) {
        channel[i] = Math.random() * 2 - 1;
      }
    });
    return true;
  }
}

registerProcessor("white-noise-processor", WhiteNoiseProcessor);

Next, in our main script file we'll load the processor, create an instance of {{domxref("AudioWorkletNode")}}, passing it the name of the processor, then connect the node to an audio graph.

const audioContext = new AudioContext();
await audioContext.audioWorklet.addModule("white-noise-processor.js");
const whiteNoiseNode = new AudioWorkletNode(
  audioContext,
  "white-noise-processor"
);
whiteNoiseNode.connect(audioContext.destination);

Specifications

{{Specifications}}

Browser compatibility

{{Compat}}

See also

• Web Audio API

• Using the Web Audio API

• Using AudioWorklet