Convert Word to Markdown

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Word to Markdown Converter

This tool converts Microsoft Word documents (.docx) to clean Markdown syntax. Upload your file or drag and drop it onto the page, and the converter extracts headings, paragraphs, lists, tables, links, images, and text formatting into well-structured Markdown. The entire conversion runs in your browser, so your document is never uploaded to a server.

How does the Word to Markdown converter work?

The converter uses a two-step process. First, it reads the .docx file and extracts its content as HTML, preserving the document structure. Then it converts that HTML into Markdown using rules for headings, bold, italic, links, lists, code blocks, and tables. Both steps run entirely in your browser using JavaScript.

What formatting is preserved during conversion?

The converter preserves headings (H1 through H6), bold, italic, strikethrough, links, images, ordered and unordered lists (including nested lists), tables, blockquotes, and code formatting. Footnotes and endnotes are also extracted. Some Word-specific formatting like custom fonts, colors, and page layout settings do not have Markdown equivalents and are not included in the output.

Is my document uploaded to a server?

No. The conversion happens entirely in your browser using client-side JavaScript. Your .docx file is read locally and never sent to any server. You can verify this by disconnecting from the internet before converting your file.

What if I have HTML instead of a Word document?

If your source content is already in HTML, use the HTML to Markdown Converter instead. It converts HTML directly to Markdown without the .docx parsing step and also supports converting Markdown back to HTML.

How can I clean up the Markdown output?

After converting your Word document, you can paste the result into the Markdown Formatter to standardize spacing, fix heading levels, and tidy up list indentation.

Why convert Word documents to Markdown for use with AI tools?

Word documents (.docx) contain XML markup, style definitions, and metadata that inflate token counts when passed to large language models. Converting to Markdown strips that overhead, leaving clean plaintext that conveys the same content with fewer tokens. Markdown is also easier for LLMs to parse and reference accurately.