# YouTube Transcript with Speaker Labels

**Use case:** 

Who said what, for podcasts, interviews, panels and webinars. Every segment is tagged SPEAKER_00, SPEAKER_01 and so on, and the subtitle cues carry the labels too. Speaker labels and word timings share one rate, so asking for both costs no more than either.

## Input

```json
{
  "videoUrls": [
    "https://www.youtube.com/watch?v=7qaiNfoMRts"
  ],
  "timestampLevel": "segment",
  "diarize": true,
  "language": "en",
  "includeSubtitles": true,
  "includeMetadata": false,
  "maxConcurrency": 3
}
```

## Output

```json
{
  "url": {
    "label": "Video URL",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "timestampLevel": {
    "label": "Timestamp level",
    "format": "string"
  },
  "speakers": {
    "label": "Speakers",
    "format": "array"
  },
  "segments": {
    "label": "Segments",
    "format": "array"
  },
  "segmentsUrl": {
    "label": "Segments file URL",
    "format": "string"
  }
}
```

## How it works

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

The YouTube Transcript AI: Subtitles, SRT & Speakers Actor is ready to run with the inputs already set for "YouTube Transcript with Speaker Labels". [Sign up or log in](https://console.apify.com/create-task-from-example/vV3bI2ByhpBi0Ucto) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "YouTube Transcript with Speaker Labels" task

The YouTube Transcript AI: Subtitles, SRT & Speakers Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls, timestamp level, and more, to match your specific use case.

### 3. Receive the "YouTube Transcript 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 video url, status, timestamp level, 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 "YouTube Transcript with Speaker Labels" task via API](https://apify.com/deapi/youtube-transcript-ai.md).

## About this Actor

This example demonstrates how to use [YouTube Transcript AI: Subtitles, SRT & Speakers](https://apify.com/deapi/youtube-transcript-ai.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/deapi/youtube-transcript-ai.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/deapi/youtube-transcript-ai.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`).