This PDF is created from HTML content with CSS styling.
''' # Convert HTML to PDF. HTML(string=html_content).write_pdf("output.pdf") print("PDF generated successfully!") ``` In this example, `HTML(string=html_content).write_pdf("output.pdf")` converts the provided HTML content into a PDF file named `output.pdf`. To learn more about WeasyPrint, visit our blog post on [how to generate a PDF from HTML using Python](https://www.nutrient.io/blog/how-to-generate-pdf-reports-from-html-in-python.md). ## 6. Generating PDFs with borb [borb](https://github.com/jorisschellekens/borb) is a modern, pure-Python library for both creating and manipulating PDFs. It has high-level layout primitives (Paragraph, Table, Chart) and low-level drawing commands. ### Key features - **Rich layout engine** — Paragraphs, images, tables, barcodes, SVG, pie and bar charts. - **Interactive elements** — Forms, annotations, document outlines. - **Post-processing** — Merge, split, redact, encrypt existing PDFs. **Best for:** Complex pages (tables, charts, barcodes) and PDF manipulation (merge, split, encrypt) with no external binaries. ### Installing borb borb can be installed via pip: ```bash pip install borb ``` ### Usage example ```python from borb.pdf import Document, Page, PDF, SingleColumnLayout, Paragraph # 1. Create the document and a page. doc = Document() page = Page() doc.append_page(page) # 2. Choose a layout manager for that page. layout = SingleColumnLayout(page) # 3. Add content via the layout. layout.append_layout_element(Paragraph("Hello, borb!")) # 4. Serialize to a PDF file. PDF.write(doc, "borb_hello.pdf") ``` ## 7. Generating PDFs with img2pdf [img2pdf](https://pypi.org/project/img2pdf/) is a tiny utility for stitching images into a single, lossless PDF. ### Key features - **Any image ↔︎ PDF** — Handles JPEG, PNG, TIFF, and more. - **Batch combine** — Merge dozens of images into one document in file order. - **Lossless output** — Keeps original pixels; no reencoding artifacts. - **Fast and minimal** — Pure Python, no heavy dependencies. **Best for:** Bundling images — such as scans, photos, and graphics — into a single, lossless PDF when you don’t need additional text or formatting. ### Installation Install via pip: ```bash pip install img2pdf ``` ### Usage example Convert images to PDF: ```python import img2pdf # List of image file paths. image_files = ['image1.jpg', 'image2.png', 'image3.tiff'] # Convert images to PDF. with open('output.pdf', 'wb') as f: f.write(img2pdf.convert(image_files)) print("PDF generated successfully!") ``` In this example, `img2pdf.convert()` takes a list of image file paths and writes them into a PDF file named `output.pdf`. **Featured Content** **Ready to get started?** Try Nutrient API for free and generate PDFs in minutes. [Start My Free Trial](https://dashboard.nutrient.io/sign_up/?product=processor) ### Preprocessing with Pillow [Pillow](https://pillow.readthedocs.io/en/stable/) lets you resize, crop, rotate, and convert images before passing them to img2pdf. ### Key features - **Image editing** — Resize, crop, rotate, filter, or watermark images - **Format conversion** — Convert TIFF, BMP, or RAW to JPEG/PNG - **Works with img2pdf** — Pass processed images to `img2pdf.convert(...)` **Best for:** Preprocessing images before converting to PDF. ### Installation Install both libraries: ```bash pip install Pillow img2pdf ``` ### Code examples #### Example 1: Preprocess and convert a single image ```python from PIL import Image import img2pdf # Open an image using Pillow. image = Image.open('input.jpg') # Resize the image (optional). image = image.resize((800, 600)) # Convert the image to another format if needed (optional). image = image.convert('RGB') # Save the modified image temporarily. image.save('modified_image.jpg') # Convert the modified image to PDF. with open('output.pdf', 'wb') as f: f.write(img2pdf.convert('modified_image.jpg')) print("PDF generated successfully!") ``` #### Example 2: Preprocess and combine multiple images ```python from PIL import Image import img2pdf # List of image file paths. image_files = ['image1.jpg', 'image2.png', 'image3.tiff'] # Preprocess images. processed_images = [] for image_file in image_files: image = Image.open(image_file) image = image.resize((800, 600)) # Resize image (optional). image = image.convert('RGB') # Convert format (optional). processed_image_path = f'processed_{image_file}' image.save(processed_image_path) processed_images.append(processed_image_path) # Convert preprocessed images to PDF. with open('output.pdf', 'wb') as f: f.write(img2pdf.convert(processed_images)) print("PDF generated successfully!") ``` ## 8. Generating PDFs with xhtml2pdf [xhtml2pdf](https://pypi.org/project/xhtml2pdf/) converts HTML and CSS to PDF with a single function call. **Best for:** Styled invoices, browser-ready reports, marketing flyers, or offline documents generated straight from web templates. ### Key features - **Layout-faithful HTML → PDF** — Preserves CSS, page breaks, and headers and footers. - **Embedded assets** — Packs fonts and images so the PDF matches the original design. - **Multipage and complex structures** — Handles tables, floats, and long documents with ease. ### Installation To use xhtml2pdf, you can install it via pip: ```bash pip install xhtml2pdf ``` ### Usage example Here’s a simple example of how to convert an HTML file to a PDF using xhtml2pdf: ```python from xhtml2pdf import pisa # Define a function to convert HTML to PDF. def convert_html_to_pdf(source_html, output_filename): # Open output file for writing (binary mode). with open(output_filename, "wb") as output_file: # Convert HTML to PDF. pisa_status = pisa.CreatePDF(source_html, dest=output_file) # Return `true` if the conversion was successful. return pisa_status.err == 0 # HTML content to be converted. html_content = """This is a PDF generated from HTML using xhtml2pdf.
""" # Convert HTML to PDF. if convert_html_to_pdf(html_content, "output.pdf"): print("PDF generated successfully!") else: print("PDF generation failed!") ``` In this example, xhtml2pdf is used to convert a simple HTML string into a PDF file named `output.pdf`. The library handles the HTML structure and CSS styling, enabling you to produce a well-formatted PDF. ## 9. Generating PDFs with Playwright [Playwright](https://pypi.org/project/playwright/) is Microsoft’s browser automation library. It can launch headless Chromium, Firefox, or WebKit and render any HTML page to PDF server-side — with full CSS3 support, including flexbox, grid, and `@media print`. ### Key features - **Full CSS3 rendering** — Flexbox, grid, media queries, custom fonts, and JavaScript execution. - **Multiple browsers** — Chromium (default), Firefox, and WebKit. - **Pixel-perfect output** — Uses the same rendering engine as the browser. - **Headers, footers, page breaks** — Full control via `page.pdf()` options. **Best for:** Server-side HTML-to-PDF generation with complex CSS layouts when you need the same rendering fidelity as a real browser. ### Installation ```bash pip install playwright playwright install chromium ``` ### Usage example ```python from playwright.sync_api import sync_playwright with sync_playwright() as p: browser = p.chromium.launch() page = browser.new_page() page.set_content("""Generated with Playwright
""") page.pdf(path="output.pdf", format="A4") browser.close() ``` Playwright requires a headless browser binary (~150 MB), which makes it heavier to deploy than pure-Python alternatives. It works well on servers and Docker containers but isn’t suitable for client-side or serverless environments with tight size limits. ## 10. Reading and creating PDFs with PyMuPDF [PyMuPDF](https://pymupdf.readthedocs.io/en/latest/) is a high-performance Python binding for MuPDF. It’s primarily known for reading and manipulating PDFs, but it can also create documents from scratch. ### Key features - **Fast text and image extraction** — Extracts text, images, and metadata at high speed. - **PDF creation** — Create new PDFs with text, images, and vector drawings. - **Page manipulation** — Merge, split, rotate, crop, and reorder pages. - **Annotations** — Add highlights, stamps, and free text annotations. - **OCR integration** — Built-in Tesseract OCR support for scanned PDFs. **Best for:** Reading and manipulating existing PDFs, extracting text/images, and fast batch processing. Also suitable for creating simple PDFs from scratch. ### Licensing PyMuPDF uses the AGPL-3.0 license. Commercial use in closed-source projects requires a [commercial license from Artifex](https://artifex.com/licensing). ### Installation ```bash pip install pymupdf ``` ### Usage example ```python import pymupdf # Create a new PDF. doc = pymupdf.open() page = doc.new_page() # Insert text. page.insert_text((72, 72), "Hello, PyMuPDF!", fontsize=16) # Save. doc.save("output.pdf") doc.close() ``` PyMuPDF can also extract text from existing PDFs: ```python import pymupdf doc = pymupdf.open("existing.pdf") for page in doc: print(page.get_text()) ``` ## Comparison: Which Python PDF library is right for you? | **Library** | **Type** | **Ease of use** | **CSS support** | **Deployment complexity** | **License** | | ---------------- | ------------- | --------------- | ------------------- | -------------------------------------------- | ----------------- | | **Nutrient API** | Cloud API | High | Full CSS3 | None (cloud) | Commercial | | **FPDF2** | Canvas | Easy | None | pip only | MIT | | **ReportLab** | Canvas | Moderate | None | pip only | BSD / Commercial | | **PDFKit** | HTML to PDF | Moderate | Full | Needs wkhtmltopdf binary (archived Jan 2023) | MIT | | **WeasyPrint** | HTML to PDF | Moderate | Full CSS3 | Needs Pango system libs | BSD 3-Clause | | **borb** | Canvas | Moderate | None | pip only | AGPL / Commercial | | **img2pdf** | Image to PDF | Easy | None | pip only | GNU LGPL | | **xhtml2pdf** | HTML to PDF | Easy | CSS 2.1 + some CSS3 | pip only | Apache | | **Playwright** | HTML to PDF | Moderate | Full CSS3 | Needs browser binary (~150 MB) | Apache | | **PyMuPDF** | Canvas + read | Moderate | None | pip only (C extension) | AGPL / Commercial | ### Recommendations - **Nutrient API** — Production apps needing forms, signatures, annotations, OCR, and support - **Playwright** — Full CSS3 rendering server-side when you need pixel-perfect output - **WeasyPrint** — HTML/CSS rendering with no browser binary - **PDFKit** — Existing integrations only; wraps wkhtmltopdf, which was archived in January 2023 - **xhtml2pdf** — Simple HTML to PDF, pure Python - **ReportLab** — Custom graphics, charts, and complex layouts - **FPDF2** — Basic PDFs with no dependencies - **borb** — Rich documents with tables, barcodes, and charts - **PyMuPDF** — Reading, extracting, and manipulating existing PDFs - **img2pdf** — Fast lossless image-to-PDF conversion **Quick guide** - **Simple PDF generation** → FPDF2 or img2pdf - **HTML/CSS conversion** → WeasyPrint or Playwright (PDFKit for existing wkhtmltopdf integrations only) - **Complex layouts and charts** → ReportLab - **Read/manipulate existing PDFs** → PyMuPDF - **Production apps with forms and signatures** → Nutrient API ## Common issues while generating PDFs in Python Here are some problems you may run into when generating PDFs in Python, along with solutions and best practices. ### 1. Handling large documents - **Problem** — Generating large PDFs with many pages, images, or complex content can lead to high memory consumption and slow processing times. - Solutions and best practices: - **Incremental PDF writing** — Instead of generating an entire document in memory, write pages to disk incrementally with streaming options using libraries like `reportlab`. - **Optimize image sizes** — Compress and resize images before adding them to a PDF to reduce memory usage. - **Chunk processing** — Divide content generation into smaller chunks and process them sequentially to avoid memory overload. **Example** ```python pdf = FPDF() for _ in range(1000): # Instead of loading all pages at once, process incrementally. pdf.add_page() pdf.cell(200, 10, text="Chunk processing example", new_x="LMARGIN", new_y="NEXT") pdf.output("large_output.pdf") ``` This example generates 1,000 pages, processing each one incrementally without loading all pages at once, improving memory usage. ### 2. Managing memory usage - **Problem** — Memory leaks or excessive memory consumption when processing multiple PDF files or handling large datasets. - Solutions and best practices: - **Use generators** — Leverage Python generators to process data lazily instead of loading everything into memory at once. - **Garbage collection** — Explicitly clear unused objects using `gc.collect()` after processing large chunks of data. - **Use streaming APIs** — Libraries like `pdfkit` support streaming outputs instead of storing content in memory. **Example** ```python import gc from fpdf import FPDF pdf = FPDF() pdf.add_page() pdf.set_font("Helvetica", size=12) pdf.cell(200, 10, text="Memory management example", new_x="LMARGIN", new_y="NEXT") pdf.output("output.pdf") # Clear memory. del pdf gc.collect() ``` This example creates a PDF and then explicitly clears the memory by deleting the object and invoking garbage collection to optimize memory usage. ### 3. Ensuring cross-platform compatibility - **Problem** — PDF output may look different on various operating systems due to font availability or encoding issues. - Solutions and best practices: - **Embed fonts** — Use built-in font embedding features in libraries like `FPDF` or `reportlab` to ensure consistency across platforms. - **Use standard fonts** — Stick to common fonts like Helvetica, Times, and Courier to avoid OS-specific font dependencies. - **Encoding handling** — Always specify text encoding (e.g. UTF-8) to avoid compatibility issues when generating multilingual PDFs. **Example** ```python pdf.set_font("Helvetica", size=12, style='B') # Built-in font, no OS dependency. pdf.set_auto_page_break(auto=True, margin=15) ``` This example uses a built-in font (Helvetica) and sets page breaks, ensuring compatibility across different systems with consistent font handling. ### 4. Optimizing performance - **Problem** — PDF generation can be slow, especially with large datasets, high-resolution images, or complex formatting. - Solutions and best practices: - **Minimize draw calls** — Reduce the number of drawing operations by batching similar elements together. - **Use cached resources** — Cache repeated elements (e.g. logos, headers) to avoid redundant processing. - **Asynchronous processing** — Use asynchronous processing for high-performance document generation in web applications. **Example** ```python from concurrent.futures import ThreadPoolExecutor def generate_pdf_chunk(data): pdf = FPDF() pdf.add_page() pdf.set_font("Helvetica", size=12) pdf.cell(200, 10, text=data, new_x="LMARGIN", new_y="NEXT") pdf.output(f"chunk_{data}.pdf") with ThreadPoolExecutor() as executor: executor.map(generate_pdf_chunk, ["Page 1", "Page 2", "Page 3"]) ``` This example demonstrates parallel PDF generation with a thread pool, allowing chunks of data to be processed simultaneously, improving overall speed. ### 5. Maintaining layout consistency - **Problem** — Inconsistent layout issues arise when adding dynamic content such as tables, charts, or paragraphs. - Solutions and best practices: - **Define layout templates** — Use a consistent document template to standardize layout across all generated PDFs. - **Auto-adjust layout** — Use libraries that support automatic content fitting and page breaks, such as `reportlab`. - **Test different screen sizes** — Check the final PDF layout on different devices to ensure consistency. **Example** ```python pdf.set_auto_page_break(auto=True, margin=10) pdf.multi_cell(0, 10, "This is a long paragraph that will wrap automatically.") ``` This example uses `multi_cell` to handle long paragraphs automatically, ensuring text wraps properly without breaking the layout. ## Conclusion This guide covered 10 Python PDF libraries — canvas-based tools (FPDF2, ReportLab, borb, PyMuPDF), HTML-to-PDF engines (WeasyPrint, PDFKit, xhtml2pdf, Playwright), and Nutrient’s cloud API. Choose based on your needs: - **Simple PDFs** — FPDF2 or img2pdf - **HTML conversion** — WeasyPrint, PDFKit, or Playwright - **Complex layouts** — ReportLab - **Read/manipulate existing PDFs** — PyMuPDF - **Production apps with forms and signatures** — Nutrient API [Start your free trial](https://dashboard.nutrient.io/sign_up/?product=processor) to get 50 API credits. ## FAQ #### Does Python have built-in PDF generation? No. The Python standard library has no built-in PDF support — as of Python 3.12 and 3.13, generating a PDF requires a third-party library. Install one with `pip`: FPDF2 (`pip install fpdf2`) for simple documents, ReportLab for complex layouts, or WeasyPrint or PDFKit to render HTML and CSS to PDF. #### Which Python PDF library should I use for simple PDFs? FPDF is a lightweight library for generating simple PDFs with text, images, and basic formatting. It requires no external dependencies. #### Can I generate PDFs with embedded images using Python? Yes. You can generate PDFs with embedded images using libraries like ReportLab, WeasyPrint, and img2pdf. Each of these libraries provides support for adding images to your PDFs, with img2pdf being specifically designed for converting images to PDFs. #### What role does Pillow play when integrated with img2pdf? Pillow preprocesses images (resize, crop, convert formats) before passing them to img2pdf for PDF conversion. #### What features does Nutrient API offer for generating PDFs in Python? Nutrient API supports HTML-to-PDF conversion, fillable forms, document merging, watermarks, annotations, OCR, and digital signatures. It has an official Python client library. #### What features does PDFKit offer for converting HTML to PDF? PDFKit wraps wkhtmltopdf to convert HTML documents into PDFs with CSS styling and JavaScript execution. #### How do I generate a PDF report from HTML in Python? Use WeasyPrint or PDFKit to render an HTML template (with CSS) into a PDF. For production use, Nutrient API handles HTML-to-PDF conversion server-side with support for custom fonts, headers, footers, and page numbers — no local browser engine required. #### What is the best free Python PDF library? For simple documents, FPDF2 is free, dependency-free, and easy to use. For HTML to PDF, WeasyPrint is open source and handles CSS well. ReportLab has a free open source version (ReportLab Open Source) suitable for most non-commercial projects. #### How do I generate a PDF report with tables and charts in Python? ReportLab is the most capable free library for data-heavy PDFs — it supports tables, flowables, and its `reportlab.graphics` module for charts. 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[Pdfjs Document Outline Bookmarks Metadata](/blog/pdfjs-document-outline-bookmarks-metadata.md) - [Pdfjs Eventbus Guide](/blog/pdfjs-eventbus-guide.md) - [Pdfjs Limitations Commercial Upgrade](/blog/pdfjs-limitations-commercial-upgrade.md) - [Pdfjs Native Annotation Layer Forms](/blog/pdfjs-native-annotation-layer-forms.md) - [Pdfjs Navigation Zoom Rotation](/blog/pdfjs-navigation-zoom-rotation.md) - [Pdfjs Pdf Page Manipulation Pdf Lib](/blog/pdfjs-pdf-page-manipulation-pdf-lib.md) - [Pdfjs React Viewer Setup](/blog/pdfjs-react-viewer-setup.md) - [Pdfjs Rendering Overlays React Portals](/blog/pdfjs-rendering-overlays-react-portals.md) - [Pdfjs Server Side Text Extraction](/blog/pdfjs-server-side-text-extraction.md) - [Pdfjs Sticky Note Annotations](/blog/pdfjs-sticky-note-annotations.md) - [Pdfjs Text Highlight Annotations](/blog/pdfjs-text-highlight-annotations.md) - [Pdfjs Text Search Pdffindcontroller](/blog/pdfjs-text-search-pdffindcontroller.md) - [Pdfjs Thumbnail Sidebar](/blog/pdfjs-thumbnail-sidebar.md) - [Process Flows](/blog/process-flows.md) - [React Native Pdf Annotation](/blog/react-native-pdf-annotation.md) - [Using Yarn](/blog/react-pdf-editor.md) - [or](/blog/sample-blog-updated.md) - [Add DWS MCP Server to your Claude Code project.](/blog/teaching-llms-to-read-pdfs.md) - [Open an image file.](/blog/tesseract-python-guide.md) - [Top 5 Javascript Pdf Viewers](/blog/top-5-javascript-pdf-viewers.md) - [or](/blog/top-js-pdf-libraries.md) - [Convert an HTML file to PDF.](/blog/top-ten-ways-to-convert-html-to-pdf.md) - [Vector Pdf](/blog/vector-pdf.md) - [Wcag2 Accessibility Requirements Documents](/blog/wcag2-accessibility-requirements-documents.md) - [Web Sdk Is Now Headless](/blog/web-sdk-is-now-headless.md) - [What Are Annotations](/blog/what-are-annotations.md) - [What Is A Vpat](/blog/what-is-a-vpat.md) - [What Is Document Processing](/blog/what-is-document-processing.md) - [What Is Intelligent Document Processing](/blog/what-is-intelligent-document-processing.md) - [What Is Pdf Ua](/blog/what-is-pdf-ua.md) - [Why Pdfium Is A Trusted Platform For Pdf Rendering](/blog/why-pdfium-is-a-trusted-platform-for-pdf-rendering.md) - [Why Your Ai Agent Hallucinates Pdf Table Data](/blog/why-your-ai-agent-hallucinates-pdf-table-data.md)