# OCR YouTube Shorts captions and overlays

**Use case:** 

OCR burned-in captions and overlays from YouTube Shorts. Export timestamped text segments for content research and trend analysis workflows.

## Input

```json
{
  "shortUrls": [
    "https://www.youtube.com/shorts/MJstrGQT79k"
  ],
  "maxItems": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "videoId": {
    "label": "Video id"
  },
  "shortUrl": {
    "label": "Short URL",
    "format": "link"
  },
  "duration": {
    "label": "Duration"
  },
  "fullText": {
    "label": "Full text"
  },
  "textSegments": {
    "label": "Text segments"
  },
  "scrapedAt": {
    "label": "Scraped at"
  }
}
```

## About this Actor

This example demonstrates how to use [YouTube Shorts Text Extractor](https://apify.com/rainminer/youtube-shorts-text-extractor) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rainminer/youtube-shorts-text-extractor) to learn more, explore other use cases, and run it yourself.


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

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/rainminer/youtube-shorts-text-extractor.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).