Last modified: Nov 09, 2025 By Alexander Williams

Python docx vs PDF Generation for Reports

Creating reports is a common programming task. Python offers two main approaches. You can generate docx files or create PDF documents. Each has distinct advantages.

This guide compares both methods. We will help you choose the right tool. Your decision affects editing, formatting, and distribution.

Understanding Python-docx

Python-docx is a popular library. It creates and modifies Word documents. The library works with .docx files specifically.

Install it using pip. The command is straightforward. Run it in your terminal.


pip install python-docx

Basic document creation is simple. Import the library and create a document object. Add content using various methods.


from docx import Document

# Create a new document
doc = Document()

# Add a heading
doc.add_heading('Sales Report', 0)

# Add a paragraph
doc.add_paragraph('Monthly sales data analysis.')

# Save the document
doc.save('sales_report.docx')

This creates a basic Word document. It includes a heading and paragraph. The file opens in Microsoft Word or similar software.

For more advanced formatting, check our Python-docx Text Styling Guide. It covers fonts, colors, and spacing.

Understanding PDF Generation

Python has several PDF generation libraries. ReportLab is the most popular. It creates PDFs from scratch.

Install ReportLab using pip. The process is similar to python-docx.


pip install reportlab

Creating a basic PDF requires more code. You work with canvases and coordinates. Here is a simple example.


from reportlab.pdfgen import canvas

# Create a PDF canvas
c = canvas.Canvas("sales_report.pdf")

# Set the title
c.setTitle("Sales Report")

# Draw a string at coordinates
c.drawString(100, 750, "Monthly Sales Report")
c.drawString(100, 730, "Monthly sales data analysis.")

# Save the PDF
c.save()

This generates a basic PDF file. The coordinates system controls positioning. It offers precise layout control.

Key Differences: Formatting and Layout

Formatting approaches differ significantly. Python-docx uses paragraph-based formatting. It resembles word processing software.

You can easily add tables with python-docx. The process is intuitive. Our Python-docx Table Formatting Complete Guide provides detailed instructions.


from docx import Document

doc = Document()
table = doc.add_table(rows=3, cols=2)

# Add table headers
table.cell(0, 0).text = 'Month'
table.cell(0, 1).text = 'Sales'

# Add data
table.cell(1, 0).text = 'January'
table.cell(1, 1).text = '$5000'

table.cell(2, 0).text = 'February'
table.cell(2, 1).text = '$6200'

doc.save('sales_table.docx')

PDF generation uses coordinate-based layout. You specify exact positions. This offers pixel-perfect control but requires more planning.

ReportLab uses a different approach for tables. You create table objects with data. Then draw them at specific coordinates.

Editing and Modification

This is a crucial difference. Docx files are editable by default. Recipients can modify the content easily.

PDF files are primarily read-only. They preserve formatting across devices. This makes them ideal for final distribution.

Python-docx allows extensive editing capabilities. You can modify existing documents. Our Python-docx Tutorial: Read Parse docx Content covers this in detail.


from docx import Document

# Open existing document
doc = Document('existing_report.docx')

# Modify content
doc.paragraphs[0].text = "Updated Sales Report"

# Save changes
doc.save('modified_report.docx')

PDF modification is more complex. You typically regenerate the entire document. Some libraries allow limited editing.

Page Layout and Control

Page control differs between formats. Python-docx offers Word-like page management. You can set margins, orientation, and size.

Our Python-docx Page Setup: Margins, Orientation, Layout guide explains these features. Page breaks are also manageable.


from docx import Document
from docx.shared import Inches
from docx.enum.section import WD_ORIENTATION

doc = Document()
section = doc.sections[0]

# Set landscape orientation
section.orientation = WD_ORIENTATION.LANDSCAPE

# Set margins
section.left_margin = Inches(1)
section.right_margin = Inches(1)

doc.add_paragraph("Landscape formatted report.")
doc.save('landscape_report.docx')

PDF generation offers absolute page control. You manage every element's position. This ensures consistent output across platforms.

Use Case Scenarios

Choose python-docx for collaborative reports. Use it when recipients need to edit content. Internal drafts often use this format.

Template-based reports work well with docx. You can create templates with placeholders. Then populate them with data programmatically.

Choose PDF for final reports. Use it when format preservation is critical. Legal documents and official statements typically use PDF.

Print-ready materials should be PDF. The format ensures consistent printing results. Fonts and layout remain unchanged.

Performance Considerations

PDF generation can be resource-intensive. Complex layouts require more processing. However, modern computers handle this well.

Docx generation is generally faster. The format is less complex. For large-scale reporting, consider performance implications.

Batch processing is possible with both. Our Batch Generate docx Files in Python guide shows efficient methods.

Integration and Automation

Both formats integrate well with Python workflows. You can generate reports from databases. Automated reporting systems use both approaches.

Python-docx works well with data analysis libraries. Combine it with pandas for data-driven reports. The process is straightforward.

PDF generation integrates with web applications. Many web systems generate PDF receipts or statements. ReportLab works well in these scenarios.

Conclusion

Choose python-docx for editable reports. Use it when collaboration is needed. The format is perfect for internal documents.

Choose PDF for final distribution. Use it when format preservation is essential. Official documents and client reports often use PDF.

Consider your audience's needs. Think about editing requirements. Evaluate formatting complexity.

Both tools have their place in reporting workflows. Many organizations use both formats. They choose based on each report's purpose.

Start with your specific requirements. Then select the appropriate tool. Both python-docx and PDF generation serve important roles in Python reporting.