Use the Azure AI Document Intelligence prebuilt invoice model . The prebuilt invoice model is specifically designed to analyze invoices and extract structured fields and line items without requiring an organization to train a custom model. Microsoft documents support for fields including InvoiceId , VendorName , InvoiceTotal , InvoiceDate, CustomerName, AmountDue, tax information, addresses, and invoice line items.
Because the model is pretrained to recognize common invoice structures, it can process invoices that use different layouts and formats while returning normalized structured output. This directly satisfies the requirement to extract invoice number, total, and vendor information from scanned documents while minimizing development and training effort.
The Azure AI Vision Read API performs OCR and can extract printed or handwritten text, but it does not provide invoice-specific semantic field extraction. Custom named entity recognition would require training and is designed for text entity extraction rather than document-layout understanding. A Document Intelligence custom neural model can handle organization-specific forms and layouts, but it requires custom model training, directly violating the requirement.
Therefore, the prebuilt invoice model provides the required combination of OCR, document understanding, structured extraction, and zero custom training.
Study Guide references: Azure AI Document Intelligence → prebuilt invoice model; structured field extraction; OCR; invoice fields and line items.