Question

A logistics company receives thousands of supplier invoices daily as scanned PDFs with varying layouts. The finance team wants to automatically extract structured fields such as invoice number, vendor name, line items, and total amount to feed into their accounts payable system, with minimal custom ML development. Which Google Cloud approach best meets this requirement?

Accepted Answer

Use the Document AI Invoice Parser processor to extract the structured entities from the PDFs

Answer

Use the Cloud Vision API's text detection (OCR) feature and write regular expressions to parse the extracted text

Answer

Train a custom AutoML Vision image classification model to categorize the invoice images

Answer

Load the raw PDF bytes into BigQuery and use BigQuery ML to run a logistic regression on the documents