How to Extract Data from Invoices with Python (3 Lines of Code)

If you've ever had to manually type invoice data into a spreadsheet — vendor names, totals, line items, due dates — you know how painfully slow and error-prone it is. I needed to automate this for a project and couldn't find anything that didn't require training custom ML models or setting up heavy cloud infrastructure. So I built aPapyr — a simple API that reads invoices (and receipts, tax forms, bank statements) and returns clean, structured JSON. Here's how it works in Python. ## Install bash pip install apapyr Extract an Invoice from apapyr import aPapyr client = aPapyr("sk_live_your_key") result = client.extract("invoice.pdf") print(result.get_field("vendor_name")) # "Acme Corp" print(result.get_field("total")) # 1250.00 print(result.get_field("due_date")) # "2026-04-15" That's it. Three lines after setup. Send a PDF or image, get structured data back. What You Get Back Every field comes with a confidence score (0.0 to 1.0) so you know how reliable each value is: print(result.conf