5 Best Python PDF Libraries Every .NET Developer Should Know

Working with the PDF format in Python can be super helpful, whether you're building a CLI application, automating reports for web development, or extracting custom data from existing files. But with so many popular Python libraries available, it’s easy to feel overwhelmed by the choices.

So, I decided to test and break down the 5 most useful Python PDF libraries — each one a solid Python package for handling PDF tasks. If you're just getting started or want to streamline your project using multiple libraries, this guide is for you.

Let’s get into it.

🥇 1. IronPDF for Python — Best Overall PDF Tool (Seriously)

content into polished PDFs, reading and extracting document information, and even editing or securing files.

Whether you're creating PDFs from web pages, merging files, applying metadata, or rendering PDFs as PNG, IronPDF can do it all.

It’s perfect when you want one tool that can generate pdf documents, read, split, merge, extract text, apply security, add custom data, or even deal with viewing options font size, links, and annotations.

💻 Code Example 2 – Read and Extract Text from Existing PDF

You can also open and extract text from an existing document using this pure Python PDF library:

from ironpdf import *



# Load existing PDF document

pdf = PdfDocument.FromFile("sample.pdf")



# Extract text from PDF document

all_text = pdf.ExtractAllText()



print(all_text)

Output:

available), ideal when you want advanced features out of the box.

2. PyPDF2 / pypdf – The Reliable Classic

If you’ve worked with PDFs in Python before, chances are you've come across

Installation

pip install pypdf

💻 Code Example

This example reads all pages of a PDF and prints their text:

from pypdf import PdfReader



reader = PdfReader("sample.pdf")

for page in reader.pages:

print(page.extract_text())

✅ Great for: Basic PDF manipulation, reading content, merging/splitting files.

❌ Not ideal for: Creating custom layouts or adding images.

Output:

is perfect when you need to build PDFs from the ground up, like when generating invoices, receipts, or any custom-formatted document. You control every inch of the layout using coordinates, fonts, tables, and more.

✅ Great for: Custom PDF generation, layout design, reports.

❌ Not meant for: Reading or modifying existing PDFs.

4. pdfplumber – Extract Data with Precision

Installation

pip install pdfplumber

💻 Code Example

Here’s a simple example to extract both text and table data from the first page of a PDF:

import pdfplumber



with pdfplumber.open("sample-invoice.pdf") as pdf:

    page = pdf.pages[0]

    text = page.extract_text()

    table = page.extract_table()

    print(text)

Output:

(imported as fitz) is surprisingly fast and covers a wide range of features — from text extraction to rendering PDF pages as images. It supports annotations, highlights, and form filling too.

✅ Great for: Rendering, annotations, form handling.

❌ The API can take a bit to learn.

Final Thoughts – Which One Should You Use?

Every project is different, so here's a simple cheat sheet:

If you're building anything PDF-heavy and need performance + accuracy + features, IronPDF is hard to beat — especially when compared to other libraries that focus on limited tasks. Whether you're converting HTML to PDF, extracting content, write your own layouts, or using a high-level method to generate professional PDFs, IronPDF wraps it all in one consistent tool.

But if you're just starting out or doing smaller projects, the open-source tools above are also solid picks.

⚙️ Technical Verdict

From a developer’s point of view, — it offers .