M
PDF to Markdown Converter
Pro coming soon
100% in-browser  ·  No upload  ·  Free forever

PDF to Markdown,
cleanly.

Drop a PDF, get structured GitHub-Flavored Markdown back. Headings, tables, and lists intact. Runs entirely in your browser — nothing uploaded.

4,200+ users·50k+ PDFs converted·Zero server uploads
PDF TO MD WORKSPACE

Convert PDF to Markdown

Upload a PDF, load the sample paper, or see what clean Markdown output looks like below.

No upload. No account. No storage.
pdftomarkdownconverter.net / convert
📄
Drop a PDF here
or click to browse · max 50 MB
or
01 / PRIVACY
Zero upload, by design.
PDF.js runs inside your browser tab. Your files never touch a server — not even ours.
02 / STRUCTURE
Headings, tables, lists.
Font-size clustering recovers heading hierarchy. Column alignment reconstructs pipe tables.
03 / LLM-READY
Built for ChatGPT & Claude.
GFM output strips PDF noise while preserving structure — exactly what long-context AI needs.

All Markdown and PDF Tools

Free browser-based converters for document writing, PDF export, AI workflows, knowledge bases, and developer documentation.

Four steps. One worker. No round trip.

01
PARSE
Local PDF.js worker
PDF read into memory by Firefox's own engine. Zero network requests.
02
EXTRACT
Text + position data
Glyphs extracted with x, y, font, weight, size.
03
INFER
Structure detection
Font-size clustering → headings. Column alignment → tables.
04
EMIT
GitHub-flavored Markdown
Clean ATX-style GFM, token-efficient, ready for ChatGPT/Claude/RAG.
WHY MARKDOWN

Structure is the difference.
Markdown is for thinking.

PDF is a presentation format — it optimises for how a page looks, not what the content means. Heading sizes, column layouts, and table borders are baked into coordinates and font sizes, not semantic tags. When you paste from a PDF, that structure disappears.

Markdown restores the semantics. Headings become # H1 and ## H2. Tables become pipe syntax. ChatGPT, Claude, Obsidian, and GitHub all understand Markdown natively.

BEST FOR
✓AI / LLM prompt preparation
✓Obsidian & Notion knowledge bases
✓GitHub README and wikis
✓Developer documentation
✓Academic research annotation
✓Business report extraction
BEFORE / AFTER

See the difference

BEFORE — Raw PDF paste
Attention Is All You Need
Vaswani et al. 2017 NeurIPS
Abstract The dominant sequence trans-
duction models are based on complex re-
current or convolutional neural networks.
1 Introduction Recurrent neural networks,
long short-term memory [13] and gated re-
current [7] neural networks in sequence.
AFTER — Clean Markdown output
# Attention Is All You Need
Vaswani et al. 2017 NeurIPS

## Abstract

The dominant sequence transduction models
are based on complex recurrent or
convolutional neural networks.

## 1 Introduction

Recurrent neural networks, long short-term
memory [13] and gated recurrent [7]
neural networks in sequence.

What it handles

WORKS CLEANLY
✓Digital PDFs (Word/Google Docs exports)
✓Single-column research papers
✓Business reports and SOPs
✓API reference documentation
✓Presentation slides with text
✓Tables with clear column alignment
NEEDS CLEANUP
!Scanned / image-based PDFs (OCR roadmap)
!Complex merged-cell tables
!Multi-column magazine layouts
!PDFs with heavy graphical elements
!Handwritten or annotated PDFs
!Encrypted or password-protected files
COMPARISON

How we compare

Feature
This Tool
MarkItDown
Marker
Docling
Runs locally
Yes
No
No
No
Account required
No
No
No
No
Preserves tables
Yes
Partial
Yes
Yes
Heading inference
Font-cluster
Basic
ML
ML
Cold-start time
< 1s
N/A
8s
12s
Cost per 1k pages
$0
N/A
$2
$3
USE CASES

Step-by-step guides

FREE RESOURCE

Stop wrestling with messy documents.

✓PDF → Markdown prompt templates for ChatGPT & Claude
✓Obsidian vault setup for PDF research workflows
✓GitHub README generation from technical PDFs
Get the free prompt pack
7 ready-to-use prompts for PDF → Markdown workflows.
No spam. Unsubscribe anytime. 4,200+ subscribers.
FAQ

Questions, answered.

Everything you need to know about converting PDFs to Markdown in your browser.

API · COMING SOON

Automate PDF conversion at scale

REST API with webhook support, batch ingestion, OCR fallback, and structured JSON output. Perfect for document pipelines and AI preprocessing workflows.

# Convert a PDF via API
curl -X POST \
https://api.pdftomarkdownconverter.net/v1/convert \
-H "Authorization: Bearer $API_KEY" \
-F "file=@report.pdf"
# Response
{
"markdown": "# Report Title\n\n...",
"pages": 12
}