Markitdown vs Pandoc: Which One Should You Use? (2026 Guide)
If you searched "markitdown vs pandoc" expecting a head-to-head fight, here's the short answer: they don't solve the same problem.
- markitdown — Microsoft's Python tool. Converts documents (PDF, DOCX, PPTX, images, audio, HTML, ZIP) into Markdown. Built for feeding content to LLMs.
- Pandoc — Universal document converter. Converts Markdown (and 40+ other formats) into PDF, DOCX, HTML, LaTeX, EPUB, and more. Built for publishing.
They point in opposite directions. Once you see that, choosing between them takes two minutes.
The Direction Test
Ask yourself which arrow describes your task:
| Arrow | Tool | Typical Goal |
|---|---|---|
| anything → Markdown | markitdown | Extract text from a PDF/DOCX/image so an LLM (or your notes app) can read it |
| Markdown → anything | Pandoc | Turn your .md file into a shareable PDF, Word doc, or website |
| Markdown → PDF (in a browser, no install) | MD2PDF Online | Quick one-off conversions with live preview |
If your arrow points left (into Markdown), keep reading about markitdown. If it points right (out of Markdown), skip to the Pandoc section.
What is markitdown?
markitdown is an open-source Python package released by Microsoft in late 2024. Its single job: take a file in almost any office/document format and produce clean Markdown.
Supported inputs include:
- PDF (
.pdf) - Word (
.docx) - Excel (
.xlsx,.xls) - PowerPoint (
.pptx) - Images (with OCR —
.png,.jpg) - Audio (with speech-to-text —
.mp3,.wav) - HTML pages and RSS feeds
- CSV, JSON, XML
- ZIP archives (recurses into contents)
- YouTube URLs (transcript extraction)
The output is deliberately plain, readable Markdown — the format most LLMs are trained to understand best.
Why Microsoft built it
markitdown was designed as the pre-processing layer for LLM pipelines. If you want ChatGPT, Claude, or your own retrieval-augmented app to read a 40-page contract PDF, you feed the PDF to markitdown first, then send the Markdown to the model. It costs fewer tokens than raw PDF text extraction and keeps document structure (headings, tables, lists).
Quick install and use
# Install
pip install markitdown
# Basic conversion — file to Markdown
markitdown quarterly-report.pdf > report.md
# Convert a directory
markitdown ./inbox/*.pdf > combined.md
# Use in Python
from markitdown import MarkItDown
md = MarkItDown()
result = md.convert("slides.pptx")
print(result.text_content)
Optional: Azure Document Intelligence
For higher-fidelity PDF extraction (better tables, layout awareness), markitdown can optionally call Azure's Document Intelligence API. This is billable — the local mode is free and works offline.
What markitdown does not do
- ❌ Convert Markdown to PDF or Word (it only goes into Markdown)
- ❌ Style or template the output (it's plain, not designed for publishing)
- ❌ Preserve exact visual layout (it's semantic, not pixel-perfect)
What is Pandoc?
Pandoc has been the industry-standard document converter since 2006. Its philosophy is different from markitdown: any format ↔ any other format, via an internal abstract document model.
Pandoc reads 40+ formats and writes 60+ formats. The most common flows are:
.md→.pdf(via LaTeX or WeasyPrint).md→.docx(Word).md→.html(static site output).md→.epub(ebooks).md→.tex(LaTeX source).docx→.md(yes, it goes the other way too — but markitdown is often cleaner here)
Pandoc's superpower is customization: you can control every aspect of the output through templates, filters, and CLI flags.
Quick install and use
# Install
brew install pandoc # macOS
sudo apt install pandoc # Ubuntu/Debian
choco install pandoc # Windows
# For PDF output you also need a LaTeX engine
brew install --cask mactex-no-gui # macOS
sudo apt install texlive-xetex # Ubuntu
# Basic: Markdown to PDF
pandoc notes.md -o notes.pdf
# With a table of contents and custom font
pandoc notes.md -o notes.pdf \
--toc --toc-depth=3 \
--pdf-engine=xelatex \
-V mainfont="Georgia"
# Markdown to Word
pandoc notes.md -o notes.docx
# Markdown to a standalone HTML file with CSS
pandoc notes.md -o notes.html --standalone --css=style.css
What Pandoc does not do (well)
- ❌ Extract Markdown from images or audio (no OCR, no speech-to-text)
- ❌ Feed LLMs efficiently (its Markdown output can carry too much presentational noise)
- ❌ Work without command-line comfort (there's no GUI in the base install)
Head-to-Head Feature Comparison
| Feature | markitdown | Pandoc |
|---|---|---|
| Primary direction | files → Markdown | Markdown → files |
| Released | 2024 (Microsoft) | 2006 (John MacFarlane) |
| Language | Python | Haskell |
| Install | pip install markitdown |
System package + LaTeX for PDF |
| PDF input | ✅ Native | ⚠️ Limited (via extensions) |
| PDF output | ❌ | ✅ Excellent (with LaTeX) |
| DOCX input | ✅ | ✅ |
| DOCX output | ❌ | ✅ |
| Image OCR | ✅ (via Azure or local) | ❌ |
| Audio transcription | ✅ | ❌ |
| Excel/PPTX input | ✅ | ⚠️ Excel only via extensions |
| HTML output | ❌ | ✅ Excellent |
| EPUB output | ❌ | ✅ |
| LaTeX output | ❌ | ✅ |
| Templates / theming | ❌ | ✅ Full template system |
| Filters / plugins | ❌ | ✅ Lua & Haskell filters |
| LLM-friendly output | ✅ Designed for it | ⚠️ Verbose |
| Best learning resource | GitHub README | pandoc.org/MANUAL.html |
When to Use markitdown
Reach for markitdown when the arrow points into Markdown:
- Building a RAG (retrieval-augmented generation) pipeline — you need to index PDFs, Word docs, and slides into a vector database. markitdown gives clean, chunk-friendly Markdown.
- Feeding documents to Claude, GPT, or Gemini — LLMs handle Markdown better than raw PDF text, and markitdown token counts are lower than most alternatives.
- Bulk-migrating legacy docs to a Markdown-first knowledge base — convert an old Confluence/SharePoint dump of Word files into Obsidian/Notion.
- Meeting notes from audio — record a meeting, run it through markitdown, get a searchable transcript.
- Reading scanned or image-only PDFs — pair markitdown with Azure Document Intelligence for OCR.
When to Use Pandoc
Reach for Pandoc when the arrow points out of Markdown:
- Publishing a report, whitepaper, or paper — you write in Markdown for speed, then need a polished PDF for readers.
- Handing a Word file to a non-technical stakeholder — Markdown → DOCX with
pandoc doc.md -o doc.docx. - Building a static site from Markdown — Markdown → HTML with a custom template.
- Academic writing with citations — Pandoc + a
.bibfile + a CSL style produces properly formatted references. - CI/CD document pipelines — Pandoc scripts well; markitdown is more interactive.
- Writing an ebook — Markdown → EPUB in one command.
When to Use Neither: MD2PDF Online
If your task is Markdown → PDF (or Word / HTML / mind map) and you don't want to install Pandoc + LaTeX, use a browser tool.
MD2PDF Online covers the 80% case:
- No install, works in any browser (including mobile)
- Live side-by-side preview while you edit
- One-click export to PDF, Word, HTML, or mind map
- Client-side conversion — your document never uploads to a server
- GitHub-flavored Markdown (tables, task lists, fenced code) fully supported
You'd still want Pandoc if you need custom LaTeX templates, bibliography management, or CI automation. For everything else, an online tool is faster.
Example: Same Task, Three Tools
Let's say you have a 10-page Word doc and you want to publish it as a PDF on your blog.
Route A: Using markitdown + MD2PDF Online
# Step 1: Word → clean Markdown
markitdown report.docx > report.md
# Step 2: Open MD2PDF Online, paste report.md, export as PDF
open https://md2pdfonline.com/md-to-pdf
Best when: you want to clean up / edit the Markdown before publishing, and you don't want to install a LaTeX toolchain.
Route B: Using markitdown + Pandoc
# Step 1: Word → Markdown
markitdown report.docx > report.md
# Step 2: Markdown → styled PDF
pandoc report.md -o report.pdf \
--toc --pdf-engine=xelatex \
--template=custom.latex
Best when: you want a fully reproducible, template-driven output for a series of similar documents.
Route C: Using only Pandoc
pandoc report.docx -o report.pdf --toc
Fastest if you're already a Pandoc user and don't need to touch the Markdown in between.
Frequently Asked Questions
Is markitdown better than Pandoc for extracting Markdown from a PDF?
For most modern PDFs — yes. markitdown was designed with structure-aware extraction in mind and produces cleaner Markdown headings/tables than Pandoc's PDF reader. For scanned/image PDFs, pair markitdown with Azure Document Intelligence (or run OCR first with Tesseract, then feed the text to Pandoc).
Can Pandoc do what markitdown does?
Partially. Pandoc converts DOCX, HTML, LaTeX, and other formats to Markdown, but it doesn't do OCR, audio transcription, or PowerPoint. For LLM ingestion specifically, markitdown's output is usually cleaner.
Can markitdown do what Pandoc does?
No. markitdown is a one-way tool: everything → Markdown. It cannot produce PDF, DOCX, HTML, or other output formats.
Which is faster?
For file → Markdown, markitdown is usually faster (native Python parsers). For Markdown → PDF with a LaTeX toolchain, Pandoc's speed depends on LaTeX; the first run is slow (font/style compilation), subsequent runs are fast.
Do I need Azure to use markitdown?
No. markitdown works fully offline for most formats. Azure Document Intelligence is optional and only improves complex PDF/image extraction.
Which one should I install first?
If you write Markdown and need to publish it → Pandoc.
If you consume documents and need to extract Markdown → markitdown.
If you just want to convert .md files in a browser → MD2PDF Online, no install.
Are they free?
Both are free and open source. markitdown is MIT licensed (Microsoft). Pandoc is GPL licensed (John MacFarlane and contributors).
The Bottom Line
markitdown and pandoc are complementary, not competitive.
- Use markitdown to get content into Markdown (great for LLM workflows).
- Use Pandoc to get Markdown out to publish-ready formats.
- Use MD2PDF Online when you just need Markdown → PDF/Word/HTML in a browser, without touching a terminal.
Many teams use all three: markitdown at the ingest edge, a Markdown-first workflow in the middle, and Pandoc (or MD2PDF Online) at the publish edge.
Next step: Try MD2PDF Online for a Markdown-to-PDF conversion right now — no install, live preview, done in seconds. When you outgrow browser exports, level up to Pandoc.