You work for a logistics company that receives thousands of PDF invoices each day from various freight carriers. The invoices are scanned and saved as images in a Cloud Storage bucket. Each invoice contains important information such as invoice number, invoice date, supplier name, and invoice amount. However, the layout and format vary significantly from carrier to carrier. You need to build a pipeline that extracts the fields from all incoming invoices and loads the structured data into a BigQuery table for analysis. You want the solution to be scalable while also minimizing the need for manual data entry and custom parsing logic. What should you do?
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