Case Study: PayDashboard achieves intelligent PDF payslip data extraction with iText pdf2Data

iText pdf2Data enabling intelligent, efficient extraction of PDF payslip data

PayDashboard, a UK-based digital payslip platform, needed a way to extract structured pay data from PDF payslips for clients whose legacy payroll software could not connect to its API. Their challenge was to process these PDFs, which could contain thousands of employee records, and intelligently pull the necessary information for use in their interactive web application.

Using iText pdf2Data, PayDashboard implemented a solution that uses a visual template editor to define and extract specific data from consistently formatted PDFs. The result was a rapid implementation, with a production-ready proof-of-concept built in just three weeks. iText provided a high-performance, reliable extraction method that unlocked new business opportunities. The positive experience also led PayDashboard to consider iText for other PDF generation needs within their platform.

PayDashboard

Luke Hopton

Engineering Manager