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markitdown-rs

by majiayu000version 0.2.1i★ –iRuns on your computer
Registry nameio.github.majiayu000/markitdown-rs

Install

Overview

Description from the maker (original English)

Convert PDF, Word, Excel, PowerPoint, HTML, EPUB and URLs to Markdown; markitdown-mcp in Rust

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

The maker has not listed install details in the registry. See the maker’s README below.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account majiayu000, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 3532 servers in this category
  • Published to the registry more recently than 96% of the other 3532 servers in this category
  • Basic checks equal to or better than 100% of the other 3532 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is markitdown-rs safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.1) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Rust on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

markitdown-rs

markitdown-rs converts PDF, Word, PowerPoint, Excel, HTML, EPUB, Outlook and web pages to Markdown for LLMs and RAG pipelines. It is Microsoft's markitdown CLI rewritten in Rust as one 4.5 MB binary: the same command and the same Markdown, byte for byte, without a Python environment. From the command line it is usually hundreds of times faster (median 408× over 231 real-world files, about 15× on the largest PDFs and spreadsheets); in process, 4–50× faster.

brew install majiayu000/tap/markitdown-rs   # or: cargo install markitdown-rs

markitdown report.pdf > report.md

Prebuilt binaries for macOS (Apple silicon and Intel) and Linux x86_64 are on the releases page. It also runs as an MCP server for AI agents (markitdown mcp, stdio or HTTP) and has a Python module with markitdown's API, plugins included.

Example

A PDF form becomes a Markdown table, exactly as markitdown renders it (tests/fixtures/pdf/gen-form-mixed.pdf):

$ markitdown order.pdf

Purchase order summary

ItemQtyUnit priceTotal
Widget 111.501.50
Widget 223.006.00
Widget 334.5013.50

... Thank you for your order.

URLs work too, with markitdown's Wikipedia and YouTube handling:

$ markitdown https://en.wikipedia.org/wiki/Markdown | head -3

Markdown

Plain text markup language

markitdown-rs vs. the alternatives

markitdown-rsmicrosoft/markitdownmarkitdown (crates.io)xberg
Output identical to markitdown401 of 406 test filesreference35 of 405not a goal
Installone binaryPython + pip (328 MB venv)cargo installpip / cargo / npm / ...
Speed (CLI)median 408× markitdown (15–1,660×)1×––
Formatsmarkitdown's formats + URLs; OCR/LLM plugins and Azure in the Python moduleall + OCR/LLM plugins, Azure9107, OCR, layout models
MCP server / Python APImarkitdown mcp (stdio, HTTP) / from markitdown import MarkItDownmarkitdown-mcp / yesno / noyes / yes

Full feature-by-feature table, with how each number was measured: markitdown vs markitdown-rs.

Why

markitdown is the de facto "documents to Markdown for LLMs" tool, but using it from a shell, CI job or non-Python service means shipping a Python environment with mammoth, pdfminer.six, pdfplumber, pandas, openpyxl, BeautifulSoup, python-pptx, magika and onnxruntime. Its most requested features include brew and binary installs (#1179, #25) and lighter dependencies (#1234).

markitdown-rs targets output compatibility. It does not try to produce "better" Markdown: it reproduces markitdown's output, quirks included (pipes in table cells, Heading 7–9 as plain text, pdfminer's (cid:N) placeholders, pandas' NaN cells), so you can swap the binary without changing anything downstream.

Compatibility

Every fixture is converted by both implementations and compared byte for byte in cargo test against Python markitdown 0.1.9 (see Parity testing): 408 files, the 6,705 inputs of the html5lib tokenizer suite through the HTML converter, and 13 pages converted as if fetched from Wikipedia, Bing and YouTube URLs.

FormatFixturesIdentical to Python
Word .docx7169 of 70; 1 known difference; 1 file Python cannot convert
PowerPoint .pptx4444
PDF6767
Excel .xlsx5049; 1 file Python cannot convert
Excel .xls (Excel 3/4 and 97–2003)4444
Outlook .msg3835; 3 known differences
HTML (and Wikipedia, Bing, YouTube pages)36 + 6,705 + 13all
EPUB66
ZIP (contents converted recursively)33
RSS / Atom1212
CSV1111
Jupyter .ipynb44
Plain text, Markdown, JSON, XML1514; 1 known difference
Images, audio (metadata via exiftool)77

Sources are files and stdin as in markitdown, plus http:// / https:// URLs (with markitdown's Accept header and stream detection from the response), file: and data: URIs.

What each converter covers:

  • DOCX follows mammoth 1.13: headings, bold/italic/underline/strike, lists, tables with merged and nested cells, hyperlinks (including linked pictures), footnotes and endnotes, images, equations (OMML to LaTeX), text boxes, checkboxes and tracked changes.
  • PPTX follows python-pptx: titles, text in reading order, groups, tables, pictures, charts (bar, line, pie, area, radar, scatter, bubble) and notes.
  • PDF is a port of pdfminer.six and the parts of pdfplumber markitdown uses: xref tables and streams (with the fallback for broken files), object streams, Flate/LZW/ASCII85/ASCIIHex/RunLength with predictors, RC4 and AES encryption (empty user password), Type1/TrueType/Type3/CID fonts with ToUnicode maps, the standard 14 fonts' metrics, embedded TrueType cmaps and the predefined CJK CMaps, form XObjects, pdfminer's layout analysis, and markitdown's borderless-table detection on pdfplumber word positions.
  • XLSX/XLS follow pandas' read_excel (openpyxl/xlrd value conversion, dtype inference, to_html), one table per sheet.
  • HTML ports CPython's html.parser, BeautifulSoup's tree builder and markdownify with markitdown's overrides; Wikipedia, Bing and YouTube pages get their dedicated converters when the source URL says so.
  • MSG reads the MAPI properties from the OLE container (code pages included); EPUB walks the OPF spine; ZIP converts every member.
  • Images and audio print exiftool metadata when exiftool is installed, as markitdown does.
  • YouTube pages get the video's transcript (### Transcript), fetched the way markitdown's optional youtube-transcript-api does.

Known differences:

  • PDF text-box order on rare layouts. pdfminer breaks ties between equal box distances by id(), a CPython memory address. markitdown-rs uses creation order instead. Of 313 PDFs tried (all of DP-Bench, arXiv papers, a 10-K, CJK manuals, other projects' test files) 308 are identical, one polyglot file is rejected by both, and 4 differ only in where a tied box lands (they match a pdfminer patched to use creation order).
  • Content sniffing uses rules instead of magika's model, so files without an extension (or with a wrong one) can be routed differently; charset detection uses chardetng instead of charset_normalizer, which disagrees on short legacy 8-bit text and on Outlook messages that declare the wrong code page (tests/known-diffs.txt).
  • Style maps embedded by mammoth (a mammoth/style-map part) are ignored by the Rust converter; the Python module applies them when given a style_map (see Python).
  • Deeply nested input. HTML nested deeper than Python's recursion limit allows (493 elements) falls back to plain text exactly where markitdown does, with the same warning, however deep it goes. Word tables nested 5000 deep make Python fail; markitdown-rs stops at 512 levels of XML nesting with an error.
  • UTF-16 HTML with a byte order mark is decoded by its BOM. markitdown decodes UTF-16LE but turns UTF-16BE pages into mojibake.
  • Wikipedia answers Python's default python-requests User-Agent with HTTP 403; markitdown-rs sends its own and gets the page.

The command line does not do what markitdown leaves to optional Python packages or cloud services: audio transcription (markitdown's speech_recognition calls Google's unofficial speech API with a key built into that library, and needs ffmpeg), LLM image captions, Azure Document Intelligence / Content Understanding (-d, --use-cu) and plugins (-p). The Python module does all of these, and its own markitdown command has the original's full set of flags. Like markitdown, legacy .doc and .ppt files are not converted.

Install

With Homebrew (macOS, Linux x86_64):

brew install majiayu000/tap/markitdown-rs

From crates.io (Rust 1.88+):

cargo install markitdown-rs

Prebuilt binaries for macOS (arm64, x86_64) and Linux (x86_64) are attached to each release, with SHA-256 sums:

curl -L https://github.com/majiayu000/markitdown-rs/releases/download/v0.2.1/markitdown-v0.2.1-aarch64-apple-darwin.tar.gz | tar xz

./markitdown-v0.2.1-aarch64-apple-darwin/markitdown --version

From a checkout: cargo install --path crates/markitdown-rs. All of these install a binary named markitdown. The PyPI package is also available: python -m pip install "markitdown-rs[mcp]" in a fresh Python 3.10+ environment.

Usage

The flags mirror the Python CLI:

markitdown [filename] [-o OUTPUT] [-x EXTENSION] [-m MIME_TYPE] [-c CHARSET] [--keep-data-uris]
markitdown report.pdf                   # Markdown on stdout

markitdown book.xlsx -o book.md # write to a file (no trailing newline, like Python) markitdown https://example.com/a.docx # fetch a URL cat report.docx | markitdown -x docx # stdin, with an extension hint markitdown --keep-data-uris report.docx # keep images as full base64 data URIs

As in markitdown, the format comes from the hints (extension, MIME type, charset) and from the file contents, and converters are tried in markitdown's order until one succeeds.

Limits that markitdown does not have, so that hostile files fail cleanly instead of exhausting memory or hanging (environment variables, also Options fields in the library):

VariableDefault
MARKITDOWN_MAX_UNZIPPED_BYTES1 GiBdecompressed bytes per conversion (ZIP archives, Office packages, PDF streams), and the size of an HTTP response
MARKITDOWN_MAX_ZIP_DEPTH10ZIP archives nested in ZIP archives
MARKITDOWN_HTTP_TIMEOUT120seconds per HTTP request (30 to connect); 0 waits forever

As a library (markitdown-core; URL loading is the optional fetch feature):

use markitdown_core::{StreamInfo, convert};

let data = std::fs::read("report.pdf")?; let md = convert(&data, &StreamInfo::from_path("report.pdf"), &Default::default())?;

MCP server

markitdown mcp serves the Model Context Protocol on stdio with the same tool as microsoft/markitdown-mcp: convert_to_markdown(uri) for http:, https:, file: and data: URIs (local paths work too). Logs go to stderr, so stdout carries only JSON-RPC.

Claude Code:

claude mcp add markitdown -- markitdown mcp

Claude Desktop (claude_desktop_config.json) and Cursor (~/.cursor/mcp.json, or .cursor/mcp.json in a project) use the same block:

{

"mcpServers": { "markitdown": { "command": "markitdown", "args": ["mcp"] } } }

Desktop apps may not see your shell's PATH; if the server does not start, use the full path from which markitdown (e.g. ~/.cargo/bin/markitdown) as command.

Tool name, input and output schemas,

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