How-to Guides

Getting started

• Before you begin

  Perform all steps to enable and use the Document AI API on the Google Cloud Console.

• Creating a processor

  Create a specific type of parser to process your document.

• Sending a processing request

  Send a document processing request to your created processor.

Specialized processors

• Invoice parser

  Parse the contents of an invoice document.

• Expense parser

  Parse an expense document (formerly named Receipt parser).

• 1003 parser

  Parse a 1003 form (current standard & customized versions).

• 1040 parsers

  Learn about available 1040 parsers: 1040 (2018 & 2019 standard versions), 1040 Schedule C (2019 & 2020 standard versions).

• 1099 parsers

  Learn more about available 1099 parsers: 1099-MISC (2018 & 2019 standard versions), 1099-DIV (2019 & 2020 standard versions), 1099-INT (2019 & 2020 standard versions), and 1099-G (2019 & 2020 standard versions).

• Bank statement parser

  Use Google's pre-trained parser to extract data from Bank Statement in order to accelerate process automation.

• Pay slip parser

  Use Google's pre-trained parser to extract data from a pay slip in order to accelerate process automation.

• W2 parser

  Parse a W2 form (2018, 2019, & 2020 standard and customized versions).

• W9 parser

  Parse a W9 form (Rev. 10-2018, Rev. 11-2017).

• Lending document splitter and classifier

  Learn how to programmatically split combined lending documents on logical boundaries and classify the split files based on the document type.

• Procurement document splitter

  Learn how to programmatically split combined procurement documents on logical boundaries.

Generalized processors

• Document OCR (Optical Character Recognition)

  Extract document text and convert it to machine text.

• Form parser

  Parse the contents of a form in a document.

• Document splitter

  Learn how to uses machine learning to separate documents on logical boundaries.

Other functionality

• Multi-region support

  Specify continent-level data storage and document processing.

• Table parsing

  Parse the contents of a table in a document.

• Parse using an AutoML model

  Parse a document using an AutoML Natural Language Classification or Entity Extraction model.