Automate data capture at scale to reduce document processing costs.
Make faster decisions using data from your documents
Improve operational efficiency by extracting structured data from unstructured documents and making that available to your business apps and users.
Ensure your data is accurate and compliant
Automate and validate all your documents to streamline compliance workflows, reduce guesswork, and keep data accurate and compliant.
Use your data to meet customer expectations
Leverage insights to meet customer expectations and improve CSAT, advocacy, lifetime value, and spend.
Try Document AI in your environment
Upload a document (like an invoice) and see the structured
data extracted. Don't have a document? Try our sample.
Upload a document (like an invoice) and see the structured data extracted. Don't have a document? Try our sample.
Setting up the Document AI API
This guide provides all required setup steps to start using Document AI.
Document AI how-to guides
Learn how to parse the contents of a form, table, or invoice. Or how to use an AutoML model and multi-region support.
Document AI concepts
Get an overview of the basics of Document AI, including converting images to text, classifying documents, as well as analyzing and extracting entities.
Lending DocAI is a specialized solution designed for the mortgage space with industry-leading data accuracy. It processes income and asset documents to speed-up loan applications—a notoriously slow and complex process. Lending DocAI leverages a set of specialized models, focused on document types used in mortgage lending, and automates many of the routine document reviews so mortgage servicers can focus on the more value-added decisions.
Procurement DocAI helps companies automate one of their highest volume and highest value business processes—the procurement cycle. Google Cloud provides a group of AI-powered parsers, starting with invoices and receipts, that take documents in a variety of formats and return cleanly structured data.
Contract DocAI leverages a variety of AI technologies—including NLP, knowledge graph technology, and optical character recognition (OCR)—to accurately parse contracts at scale for key terms, such as those involving start and end dates, renewal conditions, parties involved, contract type, venue, or service level agreements.