# YouTube Video Transcript with Timestamps & SRT — TED Talks

**Use case:** 

Turn YouTube video links into full text transcripts with timestamps and SRT/VTT subtitles, shown on three classic TED talks, for blog posts, show notes, quotes and accessibility. Each row has the video title, uploader, publish date, duration, language, transcript source, full and clean transcript, word count, timestamped segments and paragraphs, SRT and VTT subtitles, a summary and keywords.

## Input

```json
{
  "urls": [
    "https://www.youtube.com/watch?v=qp0HIF3SfI4",
    "https://www.youtube.com/watch?v=iG9CE55wbtY",
    "https://www.youtube.com/watch?v=arj7oStGLkU"
  ],
  "searchPlatform": "youtube",
  "transcriptStrategy": "auto",
  "acceptAutoCaptions": true,
  "usePublisherTranscripts": true,
  "language": "en",
  "model": "auto",
  "wordTimestamps": false,
  "vadFilter": true,
  "maxMinutesPerItem": 30,
  "speakerLabels": false,
  "numSpeakers": 0,
  "maxItemsPerSource": 2,
  "minDurationSeconds": 0,
  "maxDurationSeconds": 0,
  "includeShorts": false,
  "cleanTranscript": true,
  "ragChunkWords": 300,
  "ragChunkOverlapWords": 40,
  "subtitleMaxCharsPerLine": 42,
  "subtitleMaxLines": 2,
  "subtitleMaxSeconds": 6,
  "includeSubtitlesInRecord": true,
  "includeSegments": true,
  "includeFailedItems": true,
  "exportFormats": [
    "srt",
    "txt"
  ],
  "combinedReport": false,
  "newItemsOnly": false,
  "cacheTranscripts": true,
  "maxRunMinutes": 0,
  "maxConcurrency": 3,
  "maxRetries": 2,
  "autoUpdateYtDlp": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "thumbnailUrl": {
    "label": "Thumbnail",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "platform": {
    "label": "Platform",
    "format": "string"
  },
  "sourceType": {
    "label": "Source type",
    "format": "string"
  },
  "uploader": {
    "label": "Uploader",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published",
    "format": "string"
  },
  "durationSeconds": {
    "label": "Duration (s)",
    "format": "number"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "transcriptSource": {
    "label": "Transcript source",
    "format": "string"
  },
  "wordCount": {
    "label": "Words",
    "format": "integer"
  },
  "speakers": {
    "label": "Speakers",
    "format": "integer"
  },
  "summary": {
    "label": "Summary",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "url": {
    "label": "Media URL",
    "format": "string"
  }
}
```

## How it works

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

The Universal Media Transcriber Actor is ready to run with the inputs already set for "YouTube Video Transcript with Timestamps & SRT — TED Talks". [Sign up or log in](https://console.apify.com/create-task-from-example/8z4MJwicXxUAUOQLh) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "YouTube Video Transcript with Timestamps & SRT — TED Talks" task

The Universal Media Transcriber Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 media links, 📺 search on, and more, to match your specific use case.

### 3. Receive the "YouTube Video Transcript with Timestamps & SRT — TED Talks" 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 thumbnail, title, platform, 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 Video Transcript with Timestamps & SRT — TED Talks" task via API](https://apify.com/insights_data/universal-media-transcriber.md).

## About this Actor

This example demonstrates how to use [Universal Media Transcriber](https://apify.com/insights_data/universal-media-transcriber.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/insights_data/universal-media-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/insights_data/universal-media-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`).