# PDF to Markdown Converter (Text, Headings, Metadata) (`webdatatools/pdf-to-markdown`) Actor

Convert PDF files to clean Markdown for LLMs and RAG: headings detected from font sizes, paragraphs joined, page headers, footers and page numbers removed, plus title, author, dates, page count, links and token count. Give PDF URLs or pages that link to PDFs.

- **URL**: https://apify.com/webdatatools/pdf-to-markdown.md
- **Developed by:** [Murat Uzun](https://apify.com/webdatatools) (community)
- **Categories:** AI, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 pdfs

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

### What is PDF to Markdown Converter?

**PDF to Markdown Converter** turns PDF files into **clean Markdown** ready for ChatGPT, Claude, RAG pipelines and vector databases. Give it PDF links, or web pages that link to PDFs (report libraries, investor relations, government forms), and for each PDF it returns the **Markdown with real headings** (detected from font sizes), **paragraphs joined across line breaks**, hyphenation undone, **running headers, footers and page numbers removed**, plus the PDF's **title, author, subject, creation date, page count, word and token counts and the links inside it**. **$2 per 1,000 PDFs.**

Use it to feed research papers, annual reports, manuals, contracts or government documents into an LLM, to build a searchable document archive, or to extract text from many PDFs at once.

### What data does PDF to Markdown Converter extract?

| Field | Description |
|---|---|
| `url`, `finalUrl`, `sourcePage`, `fileName`, `sizeBytes` | The PDF, where it was found, its file name and size |
| `title`, `author`, `subject`, `keywords`, `creator`, `producer` | Document metadata (title falls back to the first heading) |
| `createdAt`, `modifiedAt`, `language` | Dates (ISO) and language from the PDF |
| `pageCount`, `pagesRead` | Pages in the file, and pages converted (see **Max pages per PDF**) |
| `markdown` | The document as Markdown: `#`/`##`/`###` headings, paragraphs, `-` bullets |
| `wordCount`, `tokens` | Size of the text (tokens ≈ characters / 4) |
| `isScanned` | `true` when the PDF has almost no text layer (a scan; see Limits) |
| `links` | URLs linked from inside the PDF |
| `text`, `pages` | Optional: raw text, and `{ page, text }` for every page |

### How to use PDF to Markdown Converter

1. Paste **PDF URLs**, and/or **Web pages with PDF links** to convert the PDFs they link to.
2. Optional: **Page markers in Markdown** (`<!-- page N -->` before each page, handy for citations), **Plain text too**, **Text per page**.
3. Run. PDFs are downloaded and converted three at a time.
4. Download the rows as JSON, CSV, Excel or HTML, or read them through the API.

### Example input

```json
{
    "pdfUrls": ["https://arxiv.org/pdf/1706.03762", "https://www.irs.gov/pub/irs-pdf/fw9.pdf"],
    "pageUrls": ["https://www.irs.gov/forms-pubs/about-form-w-9"],
    "maxPdfsPerPage": 5,
    "pageMarkers": true
}
```

### Example output

```json
{
    "url": "https://arxiv.org/pdf/1706.03762",
    "fileName": "1706.03762v7.pdf",
    "sizeBytes": 2215244,
    "title": "Attention Is All You Need",
    "createdAt": "2024-04-10T21:11:43Z",
    "pageCount": 15,
    "pagesRead": 15,
    "wordCount": 5850,
    "tokens": 9573,
    "isScanned": false,
    "links": ["https://github.com/tensorflow/tensor2tensor", "http://arxiv.org/abs/1607.06450"],
    "markdown": "# Attention Is All You Need\n\nAshish Vaswani∗ Google Brain avaswani@google.com\n\n...\n\n## Abstract\n\nThe dominant sequence transduction models are based on complex recurrent or convolutional neural networks ...\n\n## 1 Introduction\n\n..."
}
```

### How much does it cost?

Pay per result: **$0.002 per PDF converted ($2 per 1,000)**, whatever its length up to **Max pages per PDF**, with volume discounts on paid Apify plans. Links that fail, are not PDFs, or are password-protected are listed in the `ERRORS` record and cost nothing. Set **Maximum cost per run** to cap spend.

### Limits

- **No OCR.** Scanned PDFs (images of pages) have no text layer; they come back with `isScanned: true` and little or no text.
- Headings are inferred from font sizes, so unusual layouts can put a heading one level off, and tables come out as lines of text rather than Markdown tables.
- Multi-column pages are read in the order the PDF stores its text; check the column order on a sample of your documents.
- Files above 50 MB are skipped (listed in `ERRORS`).

### Using PDF to Markdown Converter with AI agents

The Actor is pay-per-event with limited permissions, so AI agents can call it through Apify's MCP server (`mcp.apify.com`), for example with `{"pdfUrls": ["https://arxiv.org/pdf/1706.03762"]}`, and read `markdown` straight from the result. It also accepts `url`, `urls`, `startUrls`, and `inputDatasetId` + `inputField` to convert PDF links found by another Actor (for example a Google Search run with `filetype:pdf`).

### FAQ

**Does it work with PDFs behind a login?** No, only PDFs anyone can download.

**Can I convert a local PDF?** Upload it somewhere that gives a public link (for example an Apify key-value store record) and paste that link.

### Related Actors

Part of the **webdatatools** web-intelligence suite — every Actor is pay-per-event, reads public data
without a login, and returns one clean row per entity:

Browse the whole suite at [webdatatools](https://paulet4a-commits.github.io/webdatatools/), or call ten of
these Actors straight from Claude, Cursor or Cline with the
[webdatatools MCP server](https://github.com/paulet4a-commits/webdatatools-mcp-server).

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- [Website to Markdown — Content Crawler for LLM & RAG](https://apify.com/webdatatools/website-to-markdown) — any site as clean Markdown per page, no browser
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- [Meetup Events Scraper (Search by Keyword & City)](https://apify.com/webdatatools/meetup-events-scraper) — upcoming events with RSVPs, fees, venues and groups
- [Eventbrite Scraper (Events by Keyword & City)](https://apify.com/webdatatools/eventbrite-scraper) — events by keyword and city with venue, dates and organizer

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- [Chrome Web Store Extension Scraper (installs, ratings)](https://apify.com/webdatatools/chrome-web-store-extensions) — users, rating, version and developer per extension
- [Google Play Scraper](https://apify.com/webdatatools/google-play-scraper) — apps, ratings, installs, developer contact and reviews
- [App Store (iOS) App Metadata, Ratings & Top Charts Lookup](https://apify.com/webdatatools/app-store-lookup) — ratings, price, version and charts per app
- [CrossRef DOI & Citation Metadata Lookup](https://apify.com/webdatatools/crossref-doi-lookup) — papers, authors, journals and citation counts
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# Actor input Schema

## `pdfUrls` (type: `array`):

Direct links to PDF files, e.g. `https://arxiv.org/pdf/1706.03762`.

## `pageUrls` (type: `array`):

Optional: pages whose PDF links should be converted (reports pages, document libraries, investor relations).

## `maxPdfsPerPage` (type: `integer`):

How many PDF links to take from each web page.

## `maxPagesPerPdf` (type: `integer`):

Longer PDFs are cut after this many pages (`pageCount` still shows the full length).

## `pageMarkers` (type: `boolean`):

Insert `<!-- page N -->` before each page, useful for citations in RAG.

## `includeText` (type: `boolean`):

Add a `text` field with the raw text lines next to the Markdown.

## `includePages` (type: `boolean`):

Add a `pages` array: `{ page, text }` for every page.

## `inputDatasetId` (type: `string`):

Optional: take PDF URLs from another run's dataset, e.g. one from Google Search Scraper.

## `inputField` (type: `string`):

Column of that dataset holding the PDF URL, e.g. `url` (default).

## Actor input object example

```json
{
  "pdfUrls": [
    "https://arxiv.org/pdf/1706.03762"
  ],
  "maxPdfsPerPage": 20,
  "maxPagesPerPdf": 200,
  "pageMarkers": false,
  "includeText": false,
  "includePages": false,
  "inputField": "url"
}
```

# Actor output Schema

## `results` (type: `string`):

All pdfs from this run.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "pdfUrls": [
        "https://arxiv.org/pdf/1706.03762"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("webdatatools/pdf-to-markdown").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "pdfUrls": ["https://arxiv.org/pdf/1706.03762"] }

# Run the Actor and wait for it to finish
run = client.actor("webdatatools/pdf-to-markdown").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "pdfUrls": [
    "https://arxiv.org/pdf/1706.03762"
  ]
}' |
apify call webdatatools/pdf-to-markdown --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,webdatatools/pdf-to-markdown"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/nBk9ycSlmehoZP3FK/builds/4GOSuP6rCzgeUlAcZ/openapi.json