pdfmux vs Unstructured: PDF Extraction Compared

pdfmux vs Unstructured: Which document processing tool should you use?

pdfmux wins on simplicity, speed, and focused PDF extraction. Unstructured (~12k GitHub stars) is a comprehensive ETL platform for converting documents into structured data for LLMs. It supports 20+ file types and offers both open-source and hosted options. However, for teams focused on PDF extraction, pdfmux delivers faster, more accurate results with a fraction of the complexity and dependency overhead.

If you need a Swiss Army knife for all document types, Unstructured is worth considering. If you need the best PDF extraction, pdfmux is the sharper tool.

Feature Comparison

Feature	pdfmux	Unstructured
PDF extraction	Optimized, high accuracy	Good, part of broader platform
File type support	PDF-focused	20+ types (PDF, DOCX, HTML, etc.)
Output format	Markdown, JSON	Elements-based JSON
Table extraction	Built-in, high F1	Uses multiple strategies
Installation	`pip install pdfmux`	Complex, many system dependencies
Install size	~15 MB	~1 GB+ (with all deps)
Cloud option	No (local only)	Unstructured Platform (hosted)
License	MIT	Apache-2.0

Benchmark Comparison

Metric	pdfmux	Unstructured
Text accuracy (mixed layouts)	94.2%	89.3%
Table extraction F1	91.8%	83.7%
Processing speed (pages/sec)	45	8
Install size	15 MB	~1 GB+
Setup time	30 seconds	10-30 minutes
Memory usage (100-page PDF)	85 MB	500 MB+

Unstructured’s breadth of file type support comes at the cost of PDF-specific optimization. pdfmux’s focused approach yields better accuracy and 5x faster processing for PDFs.

When to Use Unstructured

Unstructured is the right choice when you need:

Multi-format ETL — you process DOCX, HTML, emails, images, and PDFs in a single pipeline
Enterprise platform features — hosted processing, SOC 2 compliance, managed infrastructure
Pre-built connectors — S3, GCS, Azure Blob, Elasticsearch, and other data source/sink integrations
Element-level extraction — you need documents broken into semantic elements (title, narrative, table, etc.)
Team collaboration — the Unstructured Platform offers dashboards and monitoring

When to Use pdfmux

pdfmux is the better choice when you need:

PDF-specific accuracy — higher extraction quality on complex PDF layouts and tables
Fast processing — 5x faster than Unstructured for PDF extraction
Simple installation — pip install pdfmux and you’re done, no system dependencies
Lightweight deployment — 15 MB vs 1 GB+ makes a massive difference in containers and serverless
Minimal API surface — 3 lines of code vs configuring partition strategies and element types
Predictable behavior — no strategy selection, no fallback chains, just consistent results

Quick Code Comparison

pdfmux:

import pdfmux
result = pdfmux.convert("report.pdf")
print(result.markdown)

Unstructured:

from unstructured.partition.pdf import partition_pdf
elements = partition_pdf("report.pdf", strategy="hi_res")
for el in elements:
    print(el.text)

FAQ

Is Unstructured free?

The open-source library is free under Apache-2.0. The Unstructured Platform (hosted version) has per-page pricing. pdfmux is completely free under MIT with no hosted/premium tier.

Why is Unstructured’s installation so complex?

Unstructured supports 20+ file types, each requiring different system libraries (poppler, tesseract, libreoffice, pandoc, etc.). If you only need PDF extraction, most of these dependencies are unnecessary overhead. pdfmux has minimal dependencies focused solely on PDF processing.

Can I use pdfmux as a replacement for Unstructured?

For PDF-only workflows, yes. pdfmux produces better results faster. If you also process DOCX, HTML, or other formats, you’d need additional tools for those. Many teams use pdfmux for PDFs and lightweight format-specific tools for everything else.

Looking for detailed benchmarks? Read our comprehensive PDF extraction benchmark. For a broader comparison of all Python PDF libraries, see Best PDF Extraction Library for Python.