# Dutch PDF to text – government and business documents

**Use case:** 

Extract text from Dutch PDFs (overheidsdocumenten, contracten, brieven) page by page, with automatic OCR for scanned pages using the Dutch language model. Output: text, Markdown, language and page numbers per row, plus one Markdown file per document. Example: a Rijksoverheid brochure about the Dutch rental law.

## Input

```json
{
  "urls": [
    "https://www.rijksoverheid.nl/site/binaries/site-content/collections/documents/2024/02/15/wat-betekent-de-wet-goed-verhuurderschap-voor-huurders-en-woningzoekenden/Wet+goed+verhuurderschap+NEDERLANDS.pdf"
  ],
  "files": [],
  "keyValueStoreKeys": [],
  "ocrMode": "auto",
  "ocrLanguage": "nld",
  "ocrDpi": 150,
  "minTextLayerChars": 50,
  "outputFormat": "both",
  "saveDocumentMarkdown": true,
  "pageRange": "",
  "maxPagesPerDocument": 50,
  "maxPages": 200,
  "maxFileSizeMb": 50,
  "requestTimeoutSecs": 60
}
```

## Output

```json
{
  "status": {
    "label": "Status",
    "format": "string"
  },
  "fileName": {
    "label": "File",
    "format": "string"
  },
  "page": {
    "label": "Page",
    "format": "integer"
  },
  "pageCount": {
    "label": "Pages",
    "format": "integer"
  },
  "method": {
    "label": "Method",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "ocrConfidence": {
    "label": "OCR confidence",
    "format": "number"
  },
  "wordCount": {
    "label": "Words",
    "format": "integer"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "input": {
    "label": "Source",
    "format": "string"
  }
}
```

## How it works

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

The PDF & Image to Text (OCR) for AI agents Actor is ready to run with the inputs already set for "Dutch PDF to text – government and business documents". [Sign up or log in](https://console.apify.com/create-task-from-example/Kc9PD7z91eKcsEo1h) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Dutch PDF to text – government and business documents" task

The PDF & Image to Text (OCR) for AI agents Actor will start running based on the input automatically. You can also change all the input fields, like PDF or image URLs, upload files, and more, to match your specific use case.

### 3. Receive the "Dutch PDF to text – government and business documents" 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 status, file, page, 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 "Dutch PDF to text – government and business documents" task via API](https://apify.com/benelux-signals/pdf-image-to-text-ocr.md).

## About this Actor

This example demonstrates how to use [PDF & Image to Text (OCR) for AI agents](https://apify.com/benelux-signals/pdf-image-to-text-ocr.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/benelux-signals/pdf-image-to-text-ocr.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/benelux-signals/pdf-image-to-text-ocr.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`).