Python Script for Automated Invoice Data Extraction

Okay, here's a draft bounty description based on your requirements. I've aimed for clarity, conciseness, and a friendly-but-professional tone: Bounty: Automated Invoice Data Extraction Script (Python) We're looking for a Python script that can automatically extract key data points from PDF invoices. The script should be able to accurately identify and extract information such as: invoice number, invoice date, vendor name, vendor address, customer name, customer address, line item descriptions, quantities, unit prices, subtotal, tax amount, and total amount due. The script should be robust enough to handle invoices from different vendors with varying layouts and formats. We expect the solution to be relatively accurate (at least 90% accuracy on a diverse set of sample invoices, which we will provide). The script should be well-documented with comments explaining the logic and functionality. Error handling should be implemented to gracefully handle unexpected issues, such as missing data fields or unreadable PDFs. Technically, we're open to different approaches, but we prefer solutions that leverage OCR (Optical Character Recognition) libraries like Tesseract or cloud-based OCR services like Google Cloud Vision API or AWS Textract. Please clearly indicate which libraries or services your script utilizes. The script should be easily configurable, allowing us to specify input and output directories. Deliverable: A single Python script (.py file) along with a README file explaining how to install any necessary dependencies and run the script. The README should also include a brief explanation of the script's architecture and how it handles different invoice formats. Please also include a sample configuration file (e.g., .ini or .json) demonstrating how to set up input and output paths. We look forward to seeing your submissions!