word-to-markdown
v0.3.0
Published
Convert Word documents to beautiful Markdown.
Maintainers
Readme
Word to Markdown
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.mdWhat 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 onConvertResult.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 + animages/folder). For full control, pass a custom Mammoth image handler viaoptions.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,convertWithWarningssurfaces 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.mdOr install it globally to get the w2m command:
npm install -g word-to-markdown
w2m path/to/your/file.docx > output.mdThe 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 keeping1./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-markdownimport 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 (inextractmode) 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 relativelink and returns the bytes onConvertResult.images(useconvertWithWarningsto retrieve them).imageDir— link/path prefix for extracted images (default'images'); only applies withimages: 'extract'.numberedLists—'ordered'(default) keeps1./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 → [{ 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
- Use Mammoth.js to convert the Word document to HTML.
- Use Turndown to convert the HTML to Markdown.
- Use Markdownlint to clean up the Markdown.
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.
