# Transcribe an interview with speaker labels

**Use case:** 

Transcribes a 2-minute public interview recording and labels who speaks when. Replace the sample link in Audio URLs with a public HTTPS link to your own MP3, WAV, FLAC, OGG, WEBM, M4A or AAC file. The Transcripts view shows the text and the speaker-labelled transcript; each row also holds timed segments and SRT/VTT subtitles.

## Input

```json
{
  "audioUrls": [
    "https://upload.wikimedia.org/wikipedia/commons/6/60/Mike_Peters_on_Politics_and_Emotion_%28Interview_1984%29.mp3"
  ],
  "diarize": true,
  "contextBias": [
    "Mike",
    "Peters"
  ],
  "includeSrt": true,
  "includeVtt": true,
  "maxDurationSeconds": 3600
}
```

## Output

```json
{
  "source_url": {
    "label": "Source URL",
    "format": "string"
  },
  "duration_seconds": {
    "label": "Duration s",
    "format": "number"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "text": {
    "label": "Transcript",
    "format": "string"
  },
  "speaker_transcript": {
    "label": "Speakers",
    "format": "string"
  },
  "billed_minutes": {
    "label": "Billed min",
    "format": "integer"
  },
  "charged": {
    "label": "Charged",
    "format": "boolean"
  },
  "model": {
    "label": "Model",
    "format": "string"
  }
}
```

## How it works

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

The Audio Transcriber - Speech-to-Text API Actor is ready to run with the inputs already set for "Transcribe an interview with speaker labels". [Sign up or log in](https://console.apify.com/create-task-from-example/jHPhOwkxPQcPI8inm) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Transcribe an interview with speaker labels" task

The Audio Transcriber - Speech-to-Text API Actor will start running based on the input automatically. You can also change all the input fields, like audio urls, speaker diarization, and more, to match your specific use case.

### 3. Receive the "Transcribe an interview with speaker labels" 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 source url, duration s, language, 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 "Transcribe an interview with speaker labels" task via API](https://apify.com/automa-flow/audio-transcriber.md).

## About this Actor

This example demonstrates how to use [Audio Transcriber - Speech-to-Text API](https://apify.com/automa-flow/audio-transcriber.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automa-flow/audio-transcriber.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/automa-flow/audio-transcriber.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`).