Extract PDF Data

A PDF data table is structured information trapped in a static document. The rows and columns are visually clear to a human reader, but the data is...

A PDF contains dozens of hyperlinks to websites, email addresses, and internal document references.

A shoebox of receipts. A folder of invoice PDFs. A year of business expenses that need to be entered into a spreadsheet for tax preparation, expense...

You download your bank statement as a PDF, open it, and see neat columns of dates, descriptions, debits, credits, and balances.

Standard OCR engines are built on a fundamental assumption: text runs horizontally from left to right across the page.

You have a folder with 50 PDF invoices, each following a different layout from a different vendor.

You collect 200 filled PDF job applications. Each form has the same fields: name, email, phone, position, start date, salary expectation.

You scan a bilingual menu. The dish names are in Italian. The descriptions are in English. The prices are numbers that are language-independent.

You double-click a PDF and your viewer opens, shows a blank white screen for a moment, and then crashes to the desktop. You try again. Same result.

A supplier sends you their latest product catalog as a PDF. It is 40 pages of products with SKUs, descriptions, prices, and stock levels arranged in...

A quarterly financial statement arrives as a PDF. It is 12 pages of dense tables: revenue by product line, expenses by category, balance sheet items,...

A client emails you a PDF invoice with 47 line items. You need the totals in an Excel spreadsheet for your accounting software.

You convert a PDF table to Excel, open the result, and stare at a spreadsheet with empty cells where numbers should be.

Getting data out of a PDF table sounds simple until you actually try it. Copy-paste gives you a mess of misaligned text.