Document AI

What this post added

This post introduces H2O Document AI, detailing its capabilities in extracting data from documents. It highlights the use of OCR, ICR, and NLP for information extraction, automated data labeling, and model training. The system's architecture involves ingestion, labeling, training, deployment (to H2O MLOps or custom environments), and consumption phases. It emphasizes seamless integration via REST APIs and its application for data scientists and business users to automate document processing tasks.