FAQs for Invoice Extraction

Frequently asked questions for DataSnipper's Invoice Extraction

How does Invoice Extraction work exactly?

Invoice Extraction leverages the Document Intelligence invoice model provided by Microsoft Azure. The Document Intelligence invoice model uses powerful Optical Character Recognition (OCR) capabilities to analyze and extract key fields and line items from sales invoices, utility bills, and purchase orders. Invoices can be of various formats and quality including images, scanned documents, and PDFs. The API analyzes invoice text; extracts key information such as customer name, billing address, due date, and amount due; and returns a structured JSON data representation. The model currently supports invoices in 27 languages.
Supported document types:
  • Invoices
  • Utility bills
  • Sales orders
  • Purchase orders
Automated invoice processing
Automated invoice processing is the process of extracting key accounts payable fields from billing account documents. Extracted data includes line items from invoices integrated with your accounts payable (AP) workflows for reviews and payments. Historically, the accounts payable process has been done manually and, hence, very time-consuming. Accurate extraction of key data from invoices is typically the first and one of the most critical steps in the invoice automation process. 

Which languages are supported by Invoice Extraction?

The model currently supports invoices in 27 languages: English (en), Spanish (es), German (de), French (fr), Italian (it), Portuguese (pt), Dutch (nl), Czech (cs), Danish (da), Estonian (et), Finnish (fi), Croatian (hr), Hungarian (hu), Icelandic (is), Japanese (ja), Korean (ko), Lithuanian (It), Latvian (Iv), Malay (ms), Norwegian (nb), Polish (pl), Romanian (ro), Slovak (sk), Slovenian (sl), Serbian (sr-Latn), Albanian (sq), Swedish (sv), Chinese (simplified (zh-hans)), Chinese (traditional (zh-hant)).


If you would like to learn more about the Document Intelligence invoice model by Microsoft Azure, please refer to this article.

For a step-by-step guide and a video tutorial on how to use Invoice Extraction please refer to the article, how to use Invoice Extraction.