# Word, PowerPoint & Excel to Markdown — for RAG & AI Agents (`lizaraco/office-docs-to-markdown`) Actor

Convert DOCX, PPTX, and XLSX files to clean, LLM-ready markdown at scale. Headings, tables, slides, and sheets preserved. Never-fail runs, per-document output. The Office twin of PDF-to-Markdown.

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

## Pricing

from $10.00 / 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).

# README

## Word, PowerPoint & Excel to Markdown

Convert **DOCX, PPTX, and XLSX** files into clean, LLM-ready markdown at scale — headings,
tables, slides, and sheets preserved. The Office twin of our
[PDF-to-Markdown](https://apify.com/lizaraco/pdf-to-markdown) actor: point agents and RAG
pipelines at Office documents the same way they already handle PDFs. No subscription, no
server, pay per document.

### Convert Word / PowerPoint / Excel for RAG

Feed a list of document URLs (`.docx`, `.pptx`, `.xlsx`), get markdown back. Headings become
markdown headings, tables become GitHub-flavored markdown tables, slides and sheets are
labeled. Use `perSectionRows: true` to receive one row per heading section / slide / sheet —
ready to chunk straight into a vector store.

### Output

Per document: `url, type (docx|pptx|xlsx), markdown, sections[], char_count`. With
`perSectionRows`, one row per chunk: `url, type, section, markdown`. Corrupt,
password-protected, or non-Office files come back as error rows (`{url, error}`) — the run
itself never fails, and you only pay for documents actually converted.

### Why this actor

- Built on Microsoft's open-source **MarkItDown** (MIT), with a mammoth fallback for Word
  heading fidelity — no proprietary black box.
- Pure file parsing: no scraping, no anti-bot, nothing external to break.
- Never-fail batch runs with per-document error rows.
- Pairs with PDF-to-Markdown for full document coverage in one pipeline.

### Use with AI agents

MCP-friendly: hand an agent a Word/PowerPoint/Excel URL and get structured markdown back in
one call, paying cents per document. Crawl → collect document links → convert here → embed.

# Actor input Schema

## `urls` (type: `array`):

Direct links to .docx, .pptx, or .xlsx files to convert.

## `perSectionRows` (type: `boolean`):

Emit granular rows (per heading section, per slide, per sheet) instead of one row per document — handy for RAG chunking.

## `maxDocs` (type: `integer`):

Safety cap per run.

## Actor input object example

```json
{
  "urls": [
    "https://calibre-ebook.com/downloads/demos/demo.docx"
  ],
  "perSectionRows": false,
  "maxDocs": 500
}
```

# 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 = {
    "urls": [
        "https://calibre-ebook.com/downloads/demos/demo.docx"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lizaraco/office-docs-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 = { "urls": ["https://calibre-ebook.com/downloads/demos/demo.docx"] }

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

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

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

```

## CLI example

```bash
echo '{
  "urls": [
    "https://calibre-ebook.com/downloads/demos/demo.docx"
  ]
}' |
apify call lizaraco/office-docs-to-markdown --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=lizaraco/office-docs-to-markdown",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/apaWlc9SG14qBznfF/builds/Dkk36KCZG02nbqtIg/openapi.json