I receive new invoices every day, all as PDF files, and need a dependable way to turn that paperwork into clean, structured data I can work with immediately. Here’s what I’m after: • Build or configure an automated workflow that scans each incoming PDF, recognises the relevant fields, and exports them into a structured dataset. The specific fields will be finalised together—think invoice number, date, line-item details, totals, taxes, and any other key figures the business needs. • Store the captured data in a format that makes downstream reporting simple. I’m flexible on whether that lands in Excel, CSV, or a database; the main goal is accuracy and repeatability. • Include robust error handling for bad scans, missing fields, or format changes, and surface clear logs so issues can be traced quickly. • Provide well-commented, maintainable code plus concise user documentation and a short hand-over session so my team can run or extend the solution without reliance on you. A high-quality, end-to-end setup—complete with installation notes, test data, and refinement cycles—is important to me. If you have proven PDF data-extraction experience (Python, RPA tools, or machine-learning libraries welcome) let’s get this pipeline running smoothly.