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@mdgate/docx

v0.6.25

Published

mdgate Word converter (docx/docm)

Downloads

2,007

Readme

@mdgate/docx

Convert Word documents to Markdown in TypeScript.

@mdgate/docx reads .docx, .docm, .dotx, and .dotm files directly in JavaScript and converts them into GitHub-Flavored Markdown, without Python, native addons, WASM, or an external Word service.

Works in Node.js, Cloudflare Workers, Edge runtimes, and browsers.

npm install @mdgate/docx
import { toMarkdown } from '@mdgate/docx';

const markdown = await toMarkdown(bytes);

bytes is a Uint8Array, so the document can come from a file upload, object storage, an HTTP request, a browser file picker, or anywhere else your application gets bytes.


Why @mdgate/docx

Word support often means a native library, a desktop application, or a remote conversion API.

@mdgate/docx is a Word reader written for the same runtime as your application:

  • Pure TypeScript
  • DOCX → Markdown locally
  • No Python runtime
  • No native addons
  • No WASM runtime
  • Zero third-party runtime dependencies
  • Works with raw Uint8Array input
  • Detects OOXML Word packages from their contents, not only the filename

Use it when your application, AI agent, ingestion pipeline, or serverless function needs to read Word files without operating a separate document-processing service.


What it extracts

@mdgate/docx walks WordprocessingML and rebuilds a shared document model, then renders GitHub-Flavored Markdown.

The converter handles Word-specific concerns including:

  • headings and paragraphs
  • bold, italic, and strikethrough
  • links
  • ordered, unordered, and nested lists
  • tables, including merged cells
  • footnotes and endnotes
  • field results
  • charts and diagrams as readable blocks when present
  • images that can be handed to a reader composed with @mdgate/core

The output is Markdown that can be searched, indexed, chunked, cached, or passed directly to an AI agent.


Node.js

import { readFile } from 'node:fs/promises';
import { toMarkdown } from '@mdgate/docx';

const bytes = new Uint8Array(await readFile('report.docx'));
const markdown = await toMarkdown(bytes);

console.log(markdown);

Browser

Word files can be converted directly from a browser file picker.

import { toMarkdown } from '@mdgate/docx';

const file = input.files![0];
const bytes = new Uint8Array(await file.arrayBuffer());

const markdown = await toMarkdown(bytes);

Conversion can happen locally without uploading the document to a parsing service.


Cloudflare Workers and Edge runtimes

Because @mdgate/docx does not depend on Python, native binaries, WASM, or a separate execution runtime, it can be used as a normal JavaScript dependency in Cloudflare Workers and other Edge runtimes.

import { toMarkdown } from '@mdgate/docx';

export default {
  async fetch(request: Request) {
    const bytes = new Uint8Array(await request.arrayBuffer());
    const markdown = await toMarkdown(bytes);

    return new Response(markdown, {
      headers: {
        'content-type': 'text/markdown; charset=utf-8',
      },
    });
  },
};

This makes it suitable for workflows such as:

upload DOCX
↓
Cloudflare Worker
↓
@mdgate/docx
↓
Markdown
↓
agent / search / index / storage

Format detection

You do not need to trust the file extension.

@mdgate/docx recognizes Word OOXML packages from ZIP package metadata.

const markdown = await toMarkdown(bytes);

A path can still be supplied as a format hint when @mdgate/docx is used through @mdgate/converters or a reader composed with @mdgate/core, but the path is never used to read a file from disk.

Legacy binary .doc files are a different format. Use @mdgate/doc for those.


Compose it with other file readers

@mdgate/docx implements the converter interface from @mdgate/core.

import { create } from '@mdgate/core';
import { docx } from '@mdgate/docx';

const read = create([
  docx(),
]);

const markdown = await read(bytes);

Add other converters when your application needs more than Word:

import { create } from '@mdgate/core';
import { docx } from '@mdgate/docx';
import { pdf } from '@mdgate/pdf';
import { xlsx } from '@mdgate/xlsx';

const read = create([
  docx(),
  pdf(),
  xlsx(),
]);

The application still uses one reading interface while each format remains independently installable.


Need more than Word?

If your application needs to read many different file types, use the complete converter set:

npm install @mdgate/converters
import { toMarkdown } from '@mdgate/converters';

const markdown = await toMarkdown(bytes, {
  path: filename,
});

@mdgate/docx is one of the single-format packages in the open-source mdgate/converters project.

For AI agents, the same converter architecture can be used to extend read_file from text files to real-world document formats.


License

MIT