This content originally appeared on DEV Community and was authored by Efe Omoregie
Python, with its extensive collection of libraries, provides powerful tools to create PDF files dynamically. This blog post will explore some of the most popular Python libraries for PDF generation, provide insights into their strengths and help you select the best tool for your project.
Why Automate PDF Generation?
Automating PDF creation can streamline numerous business processes. Here are a few common applications:
- Invoice Generation: Automatically create and send invoices to clients.
- Reporting: Generate daily, weekly, or monthly reports from various data sources.
- E-commerce: Produce order confirmations, shipping labels, and product catalogues.
- Data Visualisation: Save plots and charts from libraries like Matplotlib as PDF files.
Top Python Libraries for PDF Generation
Several Python libraries are available for creating PDFs, each with unique features and use cases. Let's explore three of the most popular options: ReportLab, FPDF2, and WeasyPrint.
1. ReportLab
ReportLab is one of the most established Python libraries for generating PDFs. It offers a powerful, low-level API for drawing text, graphics, and images directly onto a PDF canvas. For more complex documents, ReportLab provides a high-level templating language.
Key Features:
- Extensive capabilities for creating complex and customised PDFs.
- Support for tables, graphs, and various graphic elements.
- Cross-platform compatibility.
- Both open-source and commercial versions are available.
Installation:
pip install reportlab
Simple Example:
from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import letter
c = canvas.Canvas("reportlab_example.pdf", pagesize=letter)
c.drawString(72, 800, "Hello, ReportLab!")
c.save()
This code snippet creates a PDF named "reportlab_example.pdf" and draws the string "Hello, ReportLab!" at a specified coordinate on the page.
2. FPDF2
FPDF2 is a popular choice for developers looking for a straightforward and easy-to-use library. It is a port of the FPDF library from PHP and is known for its minimalist design and lack of dependencies.
Key Features:
- Simple and intuitive API, making it easy to learn.
- Support for headers, footers, and automatic page breaks.
- Basic HTML rendering capabilities.
- Ability to add custom fonts.
Installation:
pip install fpdf2
Simple Example:
from fpdf import FPDF
pdf = FPDF()
pdf.add_page()
pdf.set_font("Arial", size=12)
pdf.cell(200, 10, txt="Hello, FPDF2!", ln=1, align="C")
pdf.output("fpdf2_example.pdf")
This example generates a PDF with centred text.
3. WeasyPrint
WeasyPrint is a modern library that renders HTML and CSS into PDFs, making it an excellent choice for web developers. It leverages existing web development skills to create high-quality, professional-looking documents.
Key Features:
- Converts HTML and CSS to PDF.
- Supports modern CSS features like Flexbox and Grid.
- Can generate PDFs from URLs or HTML strings.
- Excellent for generating reports, invoices, and other printable documents from web content.
Installation:
pip install WeasyPrint
Simple Example:
from weasyprint import HTML
html_string = "<h1>Hello, WeasyPrint!</h1><p>This PDF was generated from HTML.</p>"
HTML(string=html_string).write_pdf("weasyprint_example.pdf")
This code demonstrates how to create a PDF from a simple HTML string.
Choosing the Right Library
The best library for your project depends on your specific needs:
- For complex, highly customized documents where you need precise control over every element, ReportLab is the top contender.
- If you need to quickly generate simple to moderately complex PDFs and prefer a straightforward API, FPDF2 is an excellent starting point.
- For those who are already proficient with web technologies and want to leverage their HTML and CSS skills to create beautiful PDFs, WeasyPrint is the ideal choice.
Conclusion
Python's diverse ecosystem of libraries makes PDF generation an accessible task for developers of all skill levels. By knowing the available libraries, you can select the most appropriate tool to automate your document creation workflows and produce professional-quality PDFs.
This content originally appeared on DEV Community and was authored by Efe Omoregie
Efe Omoregie | Sciencx (2025-11-01T11:08:38+00:00) Generating PDF files with Python. Retrieved from https://www.scien.cx/2025/11/01/generating-pdf-files-with-python/
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