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· tutorials · 9 min read How to Generate PDFs in Python: 8 Tools Compared (Updated for 2025) Explore eight powerful Python libraries for PDF generation: FPDF2, ReportLab, Playwright, Pyppeteer, Python-Wkhtmltopdf, PDFKit, WeasyPrint, and Borb. Compare their performance, features, and use cases to choose the best tool for your PDF creation needs. Introduction Python continues to be an indispensable tool for developers in 2025, enabling them to handle various tasks, from automation and testing to web development, data analysis, and AI integration.
Its versatility extends to working with multiple data formats, including converting and generating files in different formats like PDF. PDFs remain a universally accepted format, ideal for sharing documents across different platforms and devices without compatibility issues. In this updated guide for 2025, weâll explore how to generate PDFs in Python using popular libraries including FPDF2, ReportLab, Playwright, Pyppeteer, Python-Wkhtmltopdf, PDFKit, WeasyPrint, and Borb. Weâll highlight key differences, performance metrics, and recent updates to help you choose the best option for your specific needs.
Note: If youâre specifically interested in generating PDFs from HTML, check out our detailed guide: Convert HTML to PDF with Python. Popular Libraries for PDF Generation in Python Python offers numerous libraries to work with PDFs. Letâs take a closer look at some of the most commonly used libraries for generating PDFs in 2025. 1. FPDF2 FPDF2 is the modern successor to the original FPDF library. This improved version maintains simplicity while adding Unicode support, improved image handling, and better HTML rendering capabilities.
FPDF2 is ideal for projects where you need to create straightforward PDFs with minimal dependencies. Installation Example Usage 2. ReportLab ReportLab continues to be a powerhouse for PDF generation in 2025, with regular updates enhancing its already extensive features. The latest version offers improved typography, better chart generation, and enhanced compatibility with modern Python versions. Installation Example Usage 3. Playwright Playwright has emerged as a powerful alternative to Pyppeteer for browser automation and PDF generation.
It offers better performance, more reliability, and support for all major browsers (Chromium, Firefox, and WebKit). The Python bindings for Playwright have matured significantly, making it a top choice for developers needing to convert web content to PDF in 2025. Installation Example Usage 4. Pyppeteer Pyppeteer remains a viable option for browser-based PDF generation, though itâs gradually being replaced by Playwright in many projects. The library still allows you to generate PDFs by rendering web pages using Chrome or Chromium. Installation Example Usage 5.
Python-Wkhtmltopdf Python-Wkhtmltopdf continues to be a reliable wrapper for the wkhtmltopdf command-line tool. While not receiving major updates, it remains useful for quick HTML-to-PDF conversions. Installation Example Usage 6. PDFKit PDFKit remains a popular wrapper for wkhtmltopdf, with improved Python 3.x compatibility in its latest updates. It provides a simple interface for converting HTML to PDF. Installation Example Usage 7. WeasyPrint WeasyPrint has seen significant improvements in its CSS support and rendering engine in recent releases.
It continues to excel at converting HTML/CSS to PDF without relying on a browser engine. Installation Example Usage 8. Borb Borb is a newer library that has gained significant traction in the Python PDF ecosystem. It offers a pure Python approach to PDF generation with a focus on both creating new PDFs and manipulating existing ones. Borb excels at creating complex documents with interactive elements. Installation Example Usage Performance Comparison Performance is a critical factor when choosing a PDF library, especially for high-volume operations.
Below is a benchmark comparison of the libraries mentioned above: Note: These benchmarks were performed on a standard setup with a 4-core CPU and 16GB RAM. Your results may vary depending on hardware, document complexity, and specific use cases. Comparing the 8 Libraries for PDF Generation in Python With so many options available, choosing the right library for your project can be challenging.
Hereâs a detailed comparison of the eight libraries based on different criteria: Use Case Recommendations (New for 2025) For Simple Document Generation - FPDF2: Best for simple reports, certificates, and straightforward documents - Borb: Good alternative when you need more formatting capabilities For Complex Layouts and Reports - ReportLab: Best for financial reports, data-heavy documents, and precise layouts - Borb: Excellent alternative with a more Pythonic API For Converting Web Pages to PDF - Playwright: Best for modern web applications with JavaScript - WeasyPrint: Best for static content where browser is unnecessary For High-Performance PDF Generation - FPDF2: Fastest for simple documents - ReportLab: Most efficient for complex documents - Borb: Good balance of speed and features For Interactive PDFs (Forms, Digital Signatures) - ReportLab: Most mature solution for form creation - Borb: Excellent for digital signatures and modern interactive elements Beyond Libraries: Templated as a Managed Solution While Python libraries offer flexibility, managing your own PDF generation system involves significant challenges: - Development complexity with edge cases, rendering inconsistencies, and error handling - Infrastructure maintenance for servers, browser installations, and scaling concerns - Ongoing maintenance of dependencies, cross-platform compatibility, and security updates - Design limitations without visual editing tools or template versioning Templated: Streamlined PDF Generation Templated eliminates these challenges with a complete solution: Key Benefits Visual Template Editor - Design PDFs with drag-and-drop simplicity - Preview templates in real-time with version control - Check out the video below for a quick tour: Simple API Integration Enterprise Features - 99.9% uptime with automatic scaling - Advanced security and usage analytics - No infrastructure maintenance required Getting Started - Sign up for a free account - Design templates in the visual editor - Integrate the API with your application Conclusion The Python PDF generation landscape has evolved significantly in 2025, with new libraries like Playwright and Borb joining mature options like ReportLab and WeasyPrint.
Each library offers distinct advantages depending on your specific use case, from simple document generation to complex interactive PDFs. When choosing a library, consider your specific requirements including rendering fidelity, performance needs, and the complexity of your documents. For simple PDFs, FPDF2 offers an excellent balance of simplicity and speed. For complex documents with precise layouts, ReportLab remains the gold standard. For web content conversion, Playwright now offers the best combination of fidelity and performance.
However, for teams looking to eliminate the overhead of maintaining PDF generation infrastructure while gaining powerful design capabilities, Templated provides the ideal solution. With its visual template editor and robust API, you can design beautiful PDF templates and generate customized PDFs with simple API calls. Sign up for a free Templated account today and transform your PDF generation workflow!
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