Converting Excel files (XLSX) to PDF — whether for auditing, legal purposes, or archiving — ensures critical data is preserved in a tamper-proof form that maintains its original appearance.

How Nutrient helps you achieve this

Nutrient Python SDK handles XLSX-to-PDF conversion. With the SDK, you don’t need to worry about:

  • Parsing Excel file structures
  • Managing spreadsheet layouts
  • Handling cell formatting and styles
  • Complex rendering logic

Instead, Nutrient provides an API that handles all the complexity behind the scenes, letting you focus on your business logic.

Complete implementation

Below is a complete working example that demonstrates XLSX-to-PDF conversion. These lines set up the Python application. The import statements bring in all necessary classes from the Nutrient SDK:

from nutrient_sdk import Document
from nutrient_sdk import NutrientException

This line opens the Excel file. The context manager(opens in a new tab) syntax ensures the document is automatically closed when you’re done, preventing resource leaks:

def main():
try:
with Document.open("input.xlsx") as document:

This block exports the document to PDF and saves it as output.pdf. The try-except block handles potential errors using NutrientException:

document.export_as_pdf("output.pdf")
print("Successfully converted to output.pdf")
except NutrientException as e:
print(f"Error: {e}")
if __name__ == "__main__":
main()

Conclusion

The conversion logic consists of two steps:

  1. Open the document.
  2. Export as PDF.

Nutrient handles Excel file parsing and PDF rendering so you don’t need to understand spreadsheet internals or manage complex layouts.

You can download this ready-to-use sample package that’s fully configured to help you get started with the Python SDK.