# Prepare a research paper for an LLM pipeline

**Use case:** 

Turn a real arXiv research paper into structured Markdown with page blocks, table metadata, links, and embedded-image references.

## Input

```json
{
  "pdfUrls": [
    {
      "url": "https://arxiv.org/pdf/1706.03762"
    }
  ],
  "pdfFiles": [],
  "maxDocuments": 1,
  "maxPagesPerDocument": 15,
  "maxFileSizeMb": 25,
  "requestTimeoutSecs": 45,
  "includePageMarkers": true,
  "saveMarkdownFiles": true
}
```

## Output

```json
{
  "status": {
    "label": "Status",
    "format": "string"
  },
  "fileName": {
    "label": "File",
    "format": "string"
  },
  "source": {
    "label": "Source",
    "format": "string"
  },
  "pageCount": {
    "label": "Pages",
    "format": "number"
  },
  "processedPageCount": {
    "label": "Processed pages",
    "format": "number"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "markdownKey": {
    "label": "Markdown file",
    "format": "string"
  },
  "warnings": {
    "label": "Warnings",
    "format": "array"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "convertedAt": {
    "label": "Converted at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [PDF to Structured Markdown Converter](https://apify.com/automation-lab/pdf-to-structured-markdown-converter.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/pdf-to-structured-markdown-converter.md) 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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation-lab/pdf-to-structured-markdown-converter.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).