Word to Markdown Converter
Convert Word (.docx or .doc) to clean Markdown — optimised for AI chatbot training and LLM ingestion. Free, no signup, and your file is never stored.
Drop your Word document here, or click to browse
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How to convert Word to Markdown
There are several good ways to convert a Microsoft Word document to Markdown, and the right one depends on how often you do it and how much code you want to write. The converter on this page is the fastest for one-off files; if you're batch-converting a whole folder of documents, a Python library or a command-line tool will serve you better. Here are the methods that actually work — including the one-liner that's genuinely excellent.
(Searching for docx to markdown or word to md? Same thing — .docx is the modern Word format and .md is simply Markdown's file extension. This page converts both .docx and .doc files to .md.)
Use this free converter Fastest
- 1Drop your Word document into the box at the top of this page (.docx or .doc, up to 10 MB).
- 2Click Convert to Markdown — conversion runs in seconds, right here, with no signup.
- 3Copy the Markdown or download it as a
.mdfile.
Under the hood it's the same engine Resolve247 uses to ingest documents for AI chatbot training: it walks your document in reading order, extracts every paragraph as clean text, lifts Word tables into Markdown tables, and strips the styling noise (fonts, colours, spacing, XML markup) that pollutes LLM context. Your file is processed in memory and never stored.
Python: markitdown Best for batches
Microsoft's markitdown is the strongest general-purpose library for this job — it was built specifically to produce LLM-friendly Markdown from office formats, and DOCX to Markdown is its home turf.
# install with Word support pip install "markitdown[docx]"
from markitdown import MarkItDown md = MarkItDown() result = md.convert("report.docx") print(result.text_content) # your Markdown
Wrap that in a loop over a folder and you have a batch pipeline in ten lines.
Python: python-docx Most control
python-docx gives you element-level access to paragraphs, styles and tables — ideal when you need custom extraction logic. It returns document objects, not Markdown: you map Word's styles to Markdown yourself.
pip install python-docx
import docx doc = docx.Document("report.docx") for p in doc.paragraphs: if p.style.name.startswith("Heading"): level = int(p.style.name.split()[-1]) print("#" * level, p.text) elif p.text: print(p.text)
That covers headings and paragraphs; tables, lists and emphasis each need their own handling — that's the control, and the work.
Node.js: mammoth
In a JavaScript stack, mammoth is the standard for reading .docx — it maps Word's semantic styles to clean HTML. Pair it with turndown (the maintainers' recommended route) to get Markdown.
npm install mammoth turndown
const mammoth = require("mammoth"); const TurndownService = require("turndown"); mammoth.convertToHtml({ path: "report.docx" }).then(({ value }) => { console.log(new TurndownService().turndown(value)); // your Markdown });
CLI: pandoc Best one-liner
Unlike PDFs, Word documents are a format pandoc reads natively — and it's excellent at it. If you're comfortable in a terminal, this is the gold-standard way to convert DOCX to Markdown:
brew install pandoc # macOS — or: winget install pandoc pandoc report.docx -t gfm -o report.md
-t gfm (GitHub-Flavored Markdown) keeps tables as pipe tables; add --extract-media=./images if you also want the document's images saved alongside. One caveat: pandoc only reads modern .docx — legacy .doc files need re-saving as .docx first.
Quick guide to Markdown formatting
New to Markdown? It expresses formatting with plain characters instead of buttons — which is exactly why LLMs parse it so reliably. Here's how to read (and write) Markdown, including the tables this converter produces:
| Formatting | Markdown format | Notes |
|---|---|---|
| Heading | # Title ## Section ### Sub | 1–6 # marks set heading levels 1–6. |
| Bold | **bold text** | Renders as bold text. |
| Italic | *italic text* or _italic text_ | Renders as italic text. |
| Bold + italic | ***both*** | Renders as both. |
| Underline | — | There's no underline syntax in Markdown. |
| Strikethrough | ~~crossed out~~ | Renders as |
| Bullet list | - item or * item | One item per line; indent two spaces to nest. |
| Numbered list | 1. first item | Numbers auto-correct when rendered — 1. on every line also works. |
| Link | [link text](https://example.com) | Text in square brackets, URL in parentheses. |
| Image |  | A link with a leading !. (This converter outputs text only.) |
| Inline code | `code` | Backticks render text in monospace. |
| Code block | ``` … ``` | Triple backticks on their own lines fence off a multi-line block. |
| Quote | > quoted text | A > at the start of a line renders a blockquote. |
| Table | | Col | Col | | Pipes separate cells; a | --- | --- | row under the header row defines the table. |
Why convert Word to Markdown for AI?
A Word document is a zip archive full of XML — fonts, colours, spacing rules, themes, revision metadata — wrapped around the text you actually care about. Extract it naively and the structure that matters (headings, lists, tables) arrives buried in formatting that doesn't. Feed that to an LLM and you pay for every junk token, while the model has to guess what's a heading and what's body text from styling it can't see.
Markdown is the opposite: pure structure, near-zero overhead. Your document's text arrives clean and in reading order, tables stay tables, and none of the XML noise comes along for the ride. That's what makes RAG pipelines work well — coherent, junk-free chunks directly improve retrieval and answer quality.
It's also why Markdown is the standard input for AI chatbot training. Most companies' knowledge lives in Word documents — policies, procedures, product guides. When Resolve247 trains a support chatbot on those documents, this exact conversion runs first — clean source material is half of what makes an anti-hallucination guarantee possible. An AI can only answer from your docs reliably if your docs were ingested cleanly.
And beyond AI: Markdown is plain text. It diffs in git, edits in any editor, and converts onwards to anything. Once your knowledge is out of the .docx, it's portable for good.
Want to train an AI chatbot on this data?
Your clean Markdown is chatbot training material. Start a 30-day free trial of Resolve247 and turn it into an AI support agent that answers your customers 24/7 — and never makes things up.
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Word to Markdown FAQ
Yes. Upload a Word document and download the Markdown with no signup, no card and no email. There's a fair-use rate limit to keep it fast for everyone — a Resolve247 free trial removes it.
Nothing is stored. Your file is converted in memory and the Markdown is returned in the same request — we keep neither the document nor the output once the response is sent.
Yes, both are accepted. Modern .docx files get the full conversion — your complete text in reading order, with Word tables carried across as Markdown tables. Legacy .doc files convert as plain text only (tables are lost), so re-save them as .docx in Word first (File → Save As) for the best result.
10 MB per document on this free tool. Conversion usually takes just a few seconds; very long documents may take a little longer. Need bigger files or more files? A Resolve247 free trial lets you train your AI on multiple files at once, each up to 30 MB.
Yes — that's what it's built for. This is the same conversion engine Resolve247 uses to ingest documents for its AI support chatbots, so the output is structured for chunking, embedding and chatbot training.
Word to MD is the same thing as Word to Markdown — .md is simply the file extension Markdown uses. To convert Word to MD, drop your .docx or .doc file in the converter above, click Convert to Markdown, and download the output as a .md file.
Tables in .docx files are converted to Markdown tables. Images aren't extracted — Markdown output is text-only, which is usually what you want for LLM ingestion. Comments and review metadata are dropped, so accept or reject any tracked changes before converting to make sure the text you see is the text you get.
No. The conversion runs on our servers, so it works in any browser on any device — and it handles .docx files saved by Word, LibreOffice, Google Docs exports, Pages, or anything else that writes the format.