How to Automate PDF Invoice Cleaning and Splitting with Python

1. Introduction

Hello, I'm PiPi. In the Python Silver group we received a question about automating invoice data processing with Python. The task involves extracting data from PDF invoices, converting them to Excel, cleaning brackets, and splitting columns.

2. Implementation

The problem is common in real work and requires a flexible solution. The source data comes from PDF invoice recognition saved as Excel, resulting in irregular formatting.

The challenge is to remove square brackets that appear after extraction and split each row into two columns. A community member, Ning, provided a regular‑expression based approach and sample code (shown in the images).

The code correctly handles the encoding issue represented by "\xa5", which indicates a character‑encoding mismatch that must be translated into a form the computer can understand.

Additional edge cases were later added, and Ning extended the solution accordingly.

3. Summary

This article demonstrates a practical Python automation workflow for processing invoice data, including PDF extraction, bracket removal, column splitting, and handling encoding quirks. The provided code can be adapted to similar data‑cleaning tasks.