# Doc to Markdown — DOCX, PDF & web pages to clean markdown (`amanatools/doc-to-markdown`) Actor

Convert DOCX files, PDFs, and web pages into clean markdown for LLM and agent ingestion. Main-content extraction strips navigation junk from web pages. Pay per document.

- **URL**: https://apify.com/amanatools/doc-to-markdown.md
- **Developed by:** [Dos](https://apify.com/amanatools) (community)
- **Categories:** Developer tools, AI
- **Features:** Limited permissions
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 document converteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## Doc to Markdown — DOCX, PDF & web pages to clean markdown

One call turns documents into **clean markdown ready for LLM context windows**: DOCX with headings preserved, PDFs page-by-page, and web pages with the navigation/ads/junk stripped (main-content extraction) — plus TXT/MD passthrough.

### Why agents use it

Every RAG pipeline, summarizer, and research agent needs documents as clean text. Feed URLs, receive markdown with title, character count, and per-document status. Long documents include a direct download link to the full markdown file.

### Output per document

`{ url, status, format, title, n_chars, markdown, truncated, full_markdown_url? }`

### Pricing

Pay-per-event: one small fee per converted document. No subscription.

### Limits

Up to 100 documents/run, 50 MB each. Text-based PDFs only (no OCR — see our pdf-ocr-extractor for scanned documents). Failures return `status: "error"`.

### Other actors by amanatools

- [PDF Text Extractor](https://apify.com/amanatools/pdf-table-extractor) — tables and text from PDF files into clean JSON rows
- [PDF OCR Extractor](https://apify.com/amanatools/pdf-ocr-extractor) — scanned and image-only PDFs into searchable text
- [Greenhouse Lever Workday ATS Jobs API](https://apify.com/amanatools/greenhouse-lever-workday-ats-jobs-api) — open jobs straight from Greenhouse, Lever, Workday and more
- [Data Cleaner](https://apify.com/amanatools/data-cleaner) — messy CSV, Excel and JSON into clean, typed data

# Actor input Schema

## `doc_urls` (type: `array`):

Links to DOCX, PDF, HTML pages, or TXT/MD files (up to 100 per run, 50 MB each).

## Actor input object example

```json
{
  "doc_urls": [
    "https://en.wikipedia.org/wiki/Markdown"
  ]
}
```

# Actor output Schema

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

Default dataset: one item per document with url, status, error, format, title, n_chars, markdown, truncated, and full_markdown_url for long documents.

# 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 = {
    "doc_urls": [
        "https://en.wikipedia.org/wiki/Markdown"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("amanatools/doc-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 = { "doc_urls": ["https://en.wikipedia.org/wiki/Markdown"] }

# Run the Actor and wait for it to finish
run = client.actor("amanatools/doc-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 '{
  "doc_urls": [
    "https://en.wikipedia.org/wiki/Markdown"
  ]
}' |
apify call amanatools/doc-to-markdown --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,amanatools/doc-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/z71t4sOWX8YtFbOCt/builds/hjkqpfs0khTAdGN1b/openapi.json