What is Document AI?

Hi there and welcome to the future of documents, a new series from Google Cloud to help developers make the most out of their unstructured data with Document AI. My name is Holt Skinner, and I'm a developer advocate for Google Cloud. In this journey, we will explore how businesses can extract valuable information from unstructured documents using AI and machine learning technology.

The world's businesses heavily rely on documents, such as PDFs, emails, forms, and contracts, to convey information. However, a significant amount of data in these files remains unstructured or underutilized, known as "dark data." Document AI aims to unlock this dark data by extracting and structuring the information within these documents.

Keywords

Document AI
Unstructured data
Dark data
Machine learning
Natural language processing
OCR technology
Cloud-based platform
Structured data
API
Custom models

FAQ

How does Document AI help businesses with unstructured data? Document AI uses artificial intelligence and machine learning to extract and structure data from unstructured documents, turning dark data into valuable insights for businesses.
What are the main categories of Document AI? Document AI offers general models for various document types, specialized models for common business documents like invoices and receipts, and the ability to build custom models for specific document types.
How can businesses integrate Document AI into their applications? Businesses can easily incorporate Document AI into their applications by calling an API, no data science expertise required. The platform handles document processing, understanding spatial structures, and extracting valuable information from documents.