# Turn a TEDx video into AI-ready text and chunks

**Use case:** 

Extract a complete English transcript from a TEDx talk as clean text, Markdown, and overlapping AI-ready chunks. The tested example includes metadata and uses residential fallback only when direct access is blocked.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.youtube.com/watch?v=5MgBikgcWnY"
    }
  ],
  "languages": [
    "en"
  ],
  "formats": [
    "text",
    "chunks",
    "markdown"
  ],
  "includeMetadata": true,
  "maxVideos": 1,
  "concurrency": 1,
  "chunkSizeCharacters": 6000,
  "chunkOverlapCharacters": 300,
  "preserveFormatting": false,
  "proxyMode": "residential-fallback"
}
```

## Output

```json
{
  "status": {
    "label": "Status",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "videoUrl": {
    "label": "Video url",
    "format": "string"
  },
  "languageCode": {
    "label": "Language code",
    "format": "string"
  },
  "wordCount": {
    "label": "Word count",
    "format": "integer"
  },
  "proxyUsed": {
    "label": "Proxy used",
    "format": "boolean"
  },
  "errorCode": {
    "label": "Error code",
    "format": "string"
  },
  "fetchedAt": {
    "label": "Fetched at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [YouTube Transcript API & MCP Server](https://apify.com/lexxer/transcriptpack-youtube-transcripts.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/lexxer/transcriptpack-youtube-transcripts.md) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/lexxer/transcriptpack-youtube-transcripts.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).