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word-to-markdown

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word-to-markdown

Convert Word documents to beautiful Markdown.

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Word to Markdown

npm version npm downloads CI License: ISC

Convert Word documents to beautiful Markdown. Via command line, as a Node library, or in your browser. An even better version of the original word-to-markdown.

Try it in your browser at word2md.com, or use it from the command line — no clone required:

npx word-to-markdown input.docx > output.md

What it converts

  • Paragraphs and line breaks
  • Headings
  • Bold, italic, and strikethrough
  • Superscript and subscript — preserved as inline <sup>/<sub> tags
  • Bullet lists, and numbered lists (kept as 1./2./3. by default)
  • Nested lists
  • Tables
  • Links
  • Footnotes and endnotes
  • Images — embedded inline as base64 data URIs, or extracted to files

Notes and limitations

  • Numbered lists are kept as 1./2./3. ordered lists. Pass { numberedLists: 'bullets' } (library) or --bullet-lists (CLI) to convert them to bullet lists instead (matching the original word-to-markdown).
  • Images are inlined as base64 data URIs by default. To extract them to files with relative links instead, use { images: 'extract' } (library — the bytes come back on ConvertResult.images) or --image-dir <dir> (CLI). Drop them entirely with { images: 'strip' } / --strip-images. On the web, documents with images offer a Download .zip (Markdown + an images/ folder). For full control, pass a custom Mammoth image handler via options.mammoth.
  • Underline is dropped by default (Mammoth's default, since underlines are easily confused with links). Pass { underline: 'preserve' } (library) or --underline (CLI) to keep it as an inline <u> tag.
  • Comments, text boxes, and equations are not converted — Mammoth drops them during the .docx → HTML step. When content is dropped this way, convertWithWarnings surfaces a warning.
  • Heading levels come from Word's paragraph styles, not from font size.

How is this different from the original?

TL;DR: This project is a complete rewrite, using modern tools and libraries, and is much faster and more reliable. The output should be the same or better. Feedback welcome!

A note on privacy

Word to Markdown is designed with privacy as a core principle. The application operates entirely client-side:

  • Complete client-side processing: When using the web interface, all document conversion happens locally in your browser using JavaScript. Your documents never leave your computer.
  • No server uploads: When using the web interface, files are processed entirely on your device. No document content is ever transmitted to any server.
  • No personal data collection: The application does not collect, store, or transmit any personal information or document contents.
  • Privacy-first analytics: The hosted version at word2md.com uses only privacy-centric Cloudflare Analytics for anonymous usage statistics. No Google Analytics or user tracking.
  • Self-hosting option: For maximum privacy, you can run the application locally or self-host it without any analytics whatsoever.

Whether you use the command line tool, run it locally in your browser, or use the hosted version, your documents and privacy are protected.

Command line

Run it directly with npx (downloads and runs the latest published version):

npx word-to-markdown path/to/your/file.docx > output.md

Or install it globally to get the w2m command:

npm install -g word-to-markdown
w2m path/to/your/file.docx > output.md

The converted Markdown is written to stdout and any document warnings (encryption, sensitivity labels, and the like) to stderr, so a redirect captures only the Markdown. The command exits with a non-zero status and a friendly message if the file is missing, unreadable, or not a valid .docx. Only .docx is supported — re-save older .doc files as .docx first.

Options:

  • --bullet-lists — convert numbered lists to bullets instead of keeping 1./2./3..
  • --underline — preserve underlined text as inline <u> tags (dropped by default).
  • --strip-images — remove images instead of embedding them as base64 data URIs.
  • --image-dir <dir> — extract images to <dir> and link them relatively, instead of embedding base64. Links resolve relative to where you save the Markdown, e.g. w2m --image-dir images report.docx > report.md.

Use as a library

Published to npm as word-to-markdown. It ships as an ES module and requires Node 22.13 or later.

npm install word-to-markdown
import convert, { convertWithWarnings } from 'word-to-markdown';

// Just the Markdown:
const markdown = await convert('path/to/your/file.docx');

// Markdown plus any document warnings (e.g. encryption, sensitivity labels):
const { markdown, warnings } = await convertWithWarnings(
  'path/to/your/file.docx',
);

Both functions accept either a file-path string (in Node) or an ArrayBuffer (in the browser), so the same code runs in either environment:

const { markdown } = await convertWithWarnings(arrayBuffer);

API

  • convert(input, options?): Promise<string> — resolves to the Markdown.
  • convertWithWarnings(input, options?): Promise<{ markdown: string; warnings: string[]; images? }> — also returns human-readable warnings for encrypted, protected, or sensitivity-labeled documents, and (in extract mode) the extracted images.

input is a file-path string (Node) or an ArrayBuffer (browser). options is optional:

  • images'inline' (default) embeds images as base64 data URIs; 'strip' removes them; 'extract' replaces each with a relative ![](imageDir/imageN.ext) link and returns the bytes on ConvertResult.images (use convertWithWarnings to retrieve them).
  • imageDir — link/path prefix for extracted images (default 'images'); only applies with images: 'extract'.
  • numberedLists'ordered' (default) keeps 1./2./3.; 'bullets' converts numbered lists to bullets.
  • underline'ignore' (default) drops underlines; 'preserve' keeps them as inline <u> tags.
  • mammoth / turndown — escape hatches forwarded to Mammoth and Turndown respectively.
// Extract images to files and write them out yourself:
const { markdown, images } = await convertWithWarnings('file.docx', {
  images: 'extract',
});
// markdown → ![](images/image1.png); images → [{ path, contentType, bytes }]

Error handling

Conversion throws typed errors so you can respond to each failure precisely:

import convert, {
  UnsupportedFileError,
  FileNotFoundError,
  InvalidFileError,
  FilePermissionError,
  ConversionError,
} from 'word-to-markdown';

try {
  const markdown = await convert('path/to/your/file.docx');
} catch (error) {
  if (error instanceof UnsupportedFileError) {
    // e.g. a .doc file — only .docx is supported
  } else if (error instanceof FileNotFoundError) {
    // the path doesn't exist
  } else if (error instanceof InvalidFileError) {
    // not a valid or parseable .docx
  } else if (error instanceof FilePermissionError) {
    // the file couldn't be read
  } else if (error instanceof ConversionError) {
    // something failed mid-conversion — see error.cause
  }
}

Running Locally

Get set up

  • Clone the repo
  • Run npm install

Command line (from source)

Run npm run build:js once, then node build/cli.js path/to/your/file.docx.

Run the site locally

npm run dev starts the Astro dev server. To preview a production build, run npm run build followed by npm run preview.

Self-Hosting

To self-host the static site using Docker Compose:

  • Clone the repository
  • Run npm install && npm run build
  • Run docker compose up -d
  • Access at http://localhost:3000

More context

See the README of the original Word to Markdown for the project's motivation.

The old way

The Original Word to Markdown is 10 years old. The conversion process was as follows:

  • Use LibreOffice to convert the Word document to HTML.
  • Use a bunch of RegEx to clean up the HTML
  • Use Premailer to inline the CSS
  • Use Nokogiri to manipulate the HTML further
  • Use Reverse Markdown to convert the HTML to Markdown
  • Use a bunch of RegEx to clean up the Markdown

Not only did this process require installing and shelling out to a huge binary (LibreOffice), but it was very fragile, and key projects like Reverse Markdown are no longer maintained. I tried experimenting with Pandoc, but it had many of the same limitations.

The new way

All three of these projects are actively maintained and heavily used, and allows us to convert the document faster, and entirely in JavaScript. Heck, I think theoretically, this could run in the browser for added privacy.

It's still young, but so far, I've found the output to be better, with much less manual cleanup required. Notice something is off? Please open an issue.

One note: This project does not yet attempt to guess heading levels based on font size. It could, but it's not yet implemented.

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Package last updated on 30 Jul 2026

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