# OCR selected pages of a German PDF into Markdown text

**Use case:** 

Runs OCR in German on pages 10 and 11 of a long lecture-notes PDF and returns their text as Markdown, page by page. Use it for scanned or image-only pages, and to pay only for the pages you need instead of the whole document.

## Input

```json
{
  "urls": [
    "https://raw.githubusercontent.com/py-pdf/sample-files/02b8203bf416db3dbdb03438bc8278dfcb0555f3/009-pdflatex-geotopo/GeoTopo-komprimiert.pdf"
  ],
  "ocr": "always",
  "ocrLanguages": [
    "deu"
  ],
  "pages": "10-11",
  "maxPagesPerDocument": 300,
  "includePages": true
}
```

## Output

```json
{
  "url": {
    "label": "URL",
    "format": "string"
  },
  "ok": {
    "label": "OK",
    "format": "boolean"
  },
  "pageCount": {
    "label": "Page count",
    "format": "integer"
  },
  "pagesConverted": {
    "label": "Pages converted",
    "format": "integer"
  },
  "pagesOcr": {
    "label": "Pages OCR",
    "format": "integer"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "createdAt": {
    "label": "Created at",
    "format": "string"
  },
  "markdown": {
    "label": "Markdown",
    "format": "string"
  },
  "warnings": {
    "label": "Warnings",
    "format": "array"
  },
  "error": {
    "label": "Error",
    "format": "object"
  }
}
```

## How it works

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

The PDF to Markdown — text layer and OCR, per page Actor is ready to run with the inputs already set for "OCR selected pages of a German PDF into Markdown text". [Sign up or log in](https://console.apify.com/create-task-from-example/OhrqIxNGJSuxOm9zF) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "OCR selected pages of a German PDF into Markdown text" task

The PDF to Markdown — text layer and OCR, per page Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, OCR, and more, to match your specific use case.

### 3. Receive the "OCR selected pages of a German PDF into Markdown text" 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 URL, OK, page count, 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 "OCR selected pages of a German PDF into Markdown text" task via API](https://apify.com/hermeskd/pdf-to-markdown.md).

## About this Actor

This example demonstrates how to use [PDF to Markdown — text layer and OCR, per page](https://apify.com/hermeskd/pdf-to-markdown.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hermeskd/pdf-to-markdown.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/hermeskd/pdf-to-markdown.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`).