Google Document AI

Uses generative AI to extract structured data from documents with high accuracy and can be fine-tuned with as few as 10 documents.

Splits composite documents into single-class documents by identifying logical document boundaries, customizable with user-provided documents and classes.

Classifies documents using generative AI with few-shot learning and fine-tuning to improve accuracy and enable iterative auto-labeling.

Detects and extracts text and layout information from various documents with configurable features to meet specific processing needs.

Summarizes large documents using generative AI-powered solutions to extract key insights efficiently.

Extracts metadata from documents directly into BigQuery tables for combining structured and unstructured data and enabling comprehensive analytics.

Automates data entry by extracting structured data from documents to improve efficiency in business operations like mailrooms and procurement.

Enables seamless automation of document ingestion, processing, and storage using Google Cloud Console and APIs.