# Extract 16 kHz mono WAV audio for speech recognition

**Use case:** 

Pulls the audio track out of a media file and resamples it to 16 kHz mono 16-bit WAV, the input most speech-to-text models (Whisper and others) expect. Use it before transcription when your file is a video, an M4A or an MP3. Pay per started audio minute.

## Input

```json
{
  "url": "https://raw.githubusercontent.com/membraneframework/static/1dfd8fd1afe23fb99d7bd156fe9ecfef4472a272/samples/sherlock_librivox.mp4",
  "operation": "extract_audio",
  "audioFormat": "wav",
  "sampleRate": 16000,
  "channels": 1,
  "videoFormat": "mp4"
}
```

## Output

```json
{
  "url": {
    "label": "URL",
    "format": "string"
  },
  "ok": {
    "label": "OK",
    "format": "boolean"
  },
  "operation": {
    "label": "Operation",
    "format": "string"
  },
  "format": {
    "label": "Format",
    "format": "string"
  },
  "width": {
    "label": "Width (px)",
    "format": "integer"
  },
  "height": {
    "label": "Height (px)",
    "format": "integer"
  },
  "durationSec": {
    "label": "Output duration (s)",
    "format": "number"
  },
  "sizeBytes": {
    "label": "Size (bytes)",
    "format": "integer"
  },
  "minutesCharged": {
    "label": "Minutes charged",
    "format": "integer"
  },
  "event": {
    "label": "Event charged",
    "format": "string"
  },
  "warnings": {
    "label": "Warnings",
    "format": "array"
  },
  "outputUrl": {
    "label": "Output URL",
    "format": "string"
  },
  "key": {
    "label": "Output record key",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "object"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Audio and Video Convert — extract audio, transcode, trim, GIF Actor is ready to run with the inputs already set for "Extract 16 kHz mono WAV audio for speech recognition". [Sign up or log in](https://console.apify.com/create-task-from-example/6Rp2TbYcPQX0hutbO) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Extract 16 kHz mono WAV audio for speech recognition" task

The Audio and Video Convert — extract audio, transcode, trim, GIF Actor will start running based on the input automatically. You can also change all the input fields, like media file url, operation, and more, to match your specific use case.

### 3. Receive the "Extract 16 kHz mono WAV audio for speech recognition" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as URL, OK, operation, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Extract 16 kHz mono WAV audio for speech recognition" task via API](https://apify.com/hermeskd/audio-video-convert.md).

## About this Actor

This example demonstrates how to use [Audio and Video Convert — extract audio, transcode, trim, GIF](https://apify.com/hermeskd/audio-video-convert.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hermeskd/audio-video-convert.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/hermeskd/audio-video-convert.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).