If you’re a developer trying to extract text from PDFs, you’ve probably run into Mathpix. It’s one of the most well-known tools in the space, with excellent support for mathematical notation. But is it the right choice for your use case?

This post breaks down the key differences between Mathpix and pdfToMarkdown, so you can choose the right tool without wasting time on free trial experiments.

What Mathpix does well

Mathpix built its reputation on one thing: converting handwritten or typeset math to LaTeX. If you’re processing scientific papers, textbooks, or engineering documents full of equations, Mathpix is genuinely excellent. It handles complex notation — integrals, matrices, chemical formulas — better than any general-purpose OCR tool.

The Snip API and the full PDF processing pipeline both produce LaTeX-rendered markdown with proper $$...$$ blocks for equations. If you’re building a tool for academics, students, or scientific publishers, that output matters.

Where Mathpix falls short for most developers

The problem is that most developers don’t need LaTeX. They need:

Clean markdown from invoices, contracts, reports, and documentation
A simple HTTP API they can call in two lines
Pricing that won’t hurt on a side project

On all three counts, Mathpix is a poor fit.

Pricing

Mathpix pricing is complex and expensive for general use:

Usage	Mathpix	pdfToMarkdown
First test	Free trial (limited)	Free, no signup
Light use	$0.004–$0.006 per page	Free (100 pages/month)
API access	Requires account + card	GitHub login, no card
Developer preview	N/A	100 pages/month free

Mathpix charges per page and the free tier is heavily limited. For prototyping or side projects, the friction of entering a credit card before you’ve validated anything is a real obstacle.

API complexity

The Mathpix API is functional but more complex than it needs to be for common use cases. You need to deal with:

Multiple endpoints for different document types
Base64-encoded image uploads
Async job polling for long documents
Their own response schema with nested blocks

With pdfToMarkdown, it’s a single POST:

# No signup required — use the public demo key
curl -X POST https://pdftomarkdown.dev/v1/convert \
  -H "Authorization: Bearer demo_public_key" \
  -H "Content-Type: application/json" \
  -d '{"input":{"pdf_url":"https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"}}'

You get back JSON with a markdown field. That’s it.

Output format

Mathpix produces its own MMD (Mathpix Markdown) format as the intermediate representation, which is then converted to markdown. For non-scientific documents, the output often contains unnecessary LaTeX fragments and formatting artifacts.

For typical business documents — PDFs with tables, headers, bullet lists — pdfToMarkdown’s output is cleaner because it’s optimized for document structure, not equation rendering.

When Mathpix wins

Be honest: if your primary use case involves:

Scientific papers with dense mathematical notation
Engineering documents with formulas
Converting handwritten math to LaTeX
Academic publishing workflows

Then Mathpix is the better tool. It’s specialized for exactly that, and the quality shows.

When pdfToMarkdown wins

For the majority of developer use cases, pdfToMarkdown is the better choice:

General documents: invoices, contracts, reports, user manuals
Developer-first pricing: free to start, no credit card, no sales calls
Simple API: one endpoint, one response field, no custom formats
LLM pipelines: clean markdown that feeds directly into context windows
Side projects and prototypes: validate before you pay

Practical comparison: processing an invoice

Here’s what a typical workflow looks like:

Mathpix approach:

import mathpix
import base64

# Read and encode the file
with open("invoice.pdf", "rb") as f:
    pdf_b64 = base64.b64encode(f.read()).decode()

client = mathpix.MathpixClient(app_id="...", app_key="...")
result = client.pdf_to_mmd(pdf_b64)
# result is in MMD format, not standard markdown
markdown = result.mmd

pdfToMarkdown approach:

from pdftomarkdown import convert

result = convert("invoice.pdf")
print(result.markdown)  # clean markdown, ready to use

The difference in friction compounds over time — especially when onboarding new team members or debugging a pipeline at 2am.

Bottom line

	Mathpix	pdfToMarkdown
Best for	Scientific/math documents	General business documents
Pricing	Credits, expensive for scale	Free to 100 pages/month
API simplicity	Moderate	Very simple
Output	MMD / LaTeX-aware markdown	Clean standard markdown
Free tier	Limited trial	100 pages/month, no card
Math equations	Excellent	Basic

If your documents have LaTeX equations, use Mathpix. For everything else, try pdfToMarkdown for free — no credit card, no signup, just a curl command.