Short Description Built a Python workflow

Short Description

Built a Python workflow that extracts invoice data from PDF files, normalizes fields, validates records, and exports clean CSV outputs, review queues, summary reports, and processing logs.

Problem

Invoices and document-based data often arrive as separate PDF files. Manually extracting invoice numbers, dates, totals, vendor names, and validation issues is slow, repetitive, and error-prone.

Solution

I built a Python-based document workflow that reads multiple PDF invoice files, extracts structured fields, normalizes dates and numeric values, validates the records, separates clean rows from review items, and exports reusable output files.

Tools

Python, PyMuPDF, Pandas, YAML configuration, CSV exports, validation rules, processing logs.

Deliverables

PDF input processing workflow Clean invoice CSV export Review queue for problematic records Summary report Processing log Reusable validation/config structure Result

The workflow processed 10 PDF invoices, extracted structured data, produced clean and review-ready outputs, and created a repeatable process for document-based invoice handling.