# Mixed Document Text Extraction Workflow

**Use case:** 

Turn a PDF, text image, and web page into consistent typed dataset records for downstream search, RAG, spreadsheet, or ETL workflows.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
    },
    {
      "url": "https://raw.githubusercontent.com/naptha/tesseract.js/master/tests/assets/images/cosmic.png"
    },
    {
      "url": "https://www.w3.org/WAI/standards-guidelines/wcag/"
    }
  ],
  "maxItems": 3,
  "maxFileSizeMb": 20,
  "requestTimeoutSecs": 30,
  "includeMetadata": true
}
```

## Output

```json
{
  "sourceUrl": {
    "label": "Source URL",
    "format": "string"
  },
  "sourceType": {
    "label": "Type",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "text": {
    "label": "Extracted text",
    "format": "string"
  },
  "extractionMethod": {
    "label": "Method",
    "format": "string"
  },
  "pageCount": {
    "label": "Pages",
    "format": "number"
  },
  "wordCount": {
    "label": "Words",
    "format": "number"
  },
  "ocrConfidence": {
    "label": "OCR confidence",
    "format": "number"
  },
  "warnings": {
    "label": "Warnings",
    "format": "array"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "extractedAt": {
    "label": "Extracted at",
    "format": "string"
  }
}
```

## About this Actor

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


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation-lab/layout-aware-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).
