# DOCX, PPTX, XLSX to Markdown Converter for LLM & RAG (`extas_corp/document-to-markdown`) Actor

Convert Word, PowerPoint, Excel, HTML, EPUB, CSV and JSON files to clean Markdown for LLMs and RAG. Bulk by URL, no third-party API. Pay only for files that convert.

- **URL**: https://apify.com/extas_corp/document-to-markdown.md
- **Developed by:** [Extas Corp](https://apify.com/extas_corp) (community)
- **Categories:** AI, Developer tools, Integrations
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 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

## DOCX, PPTX, XLSX to Markdown Converter for LLM & RAG

Convert **Office documents and web formats to clean Markdown** in bulk, ready for LLMs, RAG, vector databases and AI agents.

| Format | What you get |
| --- | --- |
| **DOCX** (Word) | Headings, paragraphs, lists, tables, links |
| **PPTX** (PowerPoint) | One section per slide, titles, text, tables, speaker notes |
| **XLSX / XLS** (Excel) | One Markdown table per sheet |
| **HTML** | Main content as Markdown |
| **EPUB** | Book metadata + chapters |
| **CSV, JSON, XML, IPYNB, MSG (Outlook), ZIP** | Readable Markdown (ZIP: every file inside) |

Powered by Microsoft's open-source [MarkItDown](https://github.com/microsoft/markitdown) library, running inside your run: your files are never sent to a third-party API.

**Fair pricing**: you pay only for files that convert. Broken links and unsupported files are free.

### How to use

1. Paste direct file links into **Document URLs** (or upload a text file with one URL per line).
2. Click **Start**.
3. Export as JSON, CSV or Excel, or fetch through the API.

### Input example

```json
{
  "documentUrls": [
    { "url": "https://example.com/report.docx" },
    { "url": "https://example.com/deck.pptx" }
  ]
}
```

### Output example

```json
{
  "url": "https://example.com/report.docx",
  "status": "ok",
  "fileType": "docx",
  "title": null,
  "charCount": 3292,
  "markdown": "# Sample Document\n\nThis document was created using accessibility techniques for headings, lists..."
}
```

### Pricing

| Event | Price |
| --- | --- |
| Document converted | $0.002 per file |

1,000 documents cost $2.

### PDFs and images

- **PDFs** (including scanned ones, with tables): use [PDF to Markdown Converter (Tables + OCR)](https://apify.com/extas_corp/pdf-to-markdown).
- **Images** (screenshots, scans, photos): use [Bulk Image OCR](https://apify.com/extas_corp/image-ocr).

### Limits

- Max 50 MB per file, 3 minutes per file.
- Old binary formats (.doc, .ppt) aren't supported. Save them as .docx / .pptx.
- Some websites block automated downloads (HTTP 403). Those items fail and aren't charged.

### Free browser version

Converting just one file? Use the free in-browser converter at [hackthehydra.com](https://hackthehydra.com): no upload, no account.

### More ways to use it

- **REST API without an Apify account:** the same converters are available on RapidAPI as the [Document to Markdown API](https://rapidapi.com/ExtasCorporation/api/document-to-markdown) (PDF, DOCX, PPTX, XLSX, images; free plan included).
- **Free in your browser:** [hackthehydra.com](https://hackthehydra.com) has no-upload converters for PDF, Word, Excel, PowerPoint and images.

### Use cases

- **LLM and RAG**: Word reports, slide decks and spreadsheets as Markdown ready for chunking.
- **Research**: normalise a folder of mixed Office files into one text corpus.
- **Content migration and SEO**: move DOCX content into a Markdown-based CMS or docs site.

### Integrations

Python (Apify client):

```python
from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("extas_corp/document-to-markdown").call(run_input={"documentUrls": [{"url": "https://filesamples.com/samples/document/docx/sample3.docx"}]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["markdown"][:500])
```

**LangChain / RAG** (turn each result into a `Document`):

```python
from apify_client import ApifyClient
from langchain_core.documents import Document

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("extas_corp/document-to-markdown").call(run_input={"documentUrls": [{"url": "https://filesamples.com/samples/document/docx/sample3.docx"}]})
docs = [Document(page_content=i["markdown"], metadata={"source": i.get("url")})
        for i in client.dataset(run["defaultDatasetId"]).iterate_items() if i.get("markdown")]
```

**Make, Zapier, n8n**: add the Apify app, choose *Run Actor* (or *Run Actor and get dataset items*), set the Actor to `extas_corp/document-to-markdown` and map the JSON input. The same Actor can be started on a schedule from Apify itself, with a webhook to your own endpoint when the run finishes.

### FAQ

**Which formats?** DOCX, PPTX and XLSX. For PDFs use PDF to Markdown, for images use Image OCR.

**Do I need to pay to try it?** New Apify accounts include free monthly platform credit (about $5 on the free plan at the time of writing), so you can run the example input above and many more items before paying anything. You only pay the per-event price listed under Pricing; runs that return nothing or fail are not charged for the failed items.

# Actor input Schema

## `documentUrls` (type: `array`):

Direct links to DOCX, PPTX, XLSX, XLS, HTML, EPUB, CSV, JSON, XML, MSG, IPYNB or ZIP files. Each file becomes one dataset item.

## `maxConcurrency` (type: `integer`):

How many files to download and convert in parallel.

## Actor input object example

```json
{
  "documentUrls": [
    {
      "url": "https://filesamples.com/samples/document/docx/sample3.docx"
    }
  ],
  "maxConcurrency": 4
}
```

# Actor output Schema

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

No description

# 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 = {
    "documentUrls": [
        {
            "url": "https://filesamples.com/samples/document/docx/sample3.docx"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("extas_corp/document-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 = { "documentUrls": [{ "url": "https://filesamples.com/samples/document/docx/sample3.docx" }] }

# Run the Actor and wait for it to finish
run = client.actor("extas_corp/document-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 '{
  "documentUrls": [
    {
      "url": "https://filesamples.com/samples/document/docx/sample3.docx"
    }
  ]
}' |
apify call extas_corp/document-to-markdown --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,extas_corp/document-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/m8El5sH8T7W1iN8Hj/builds/kPmhWrkgXbdnpDqQs/openapi.json