Use Document AI Workbench to automate data entry by extracting structured data from your documents. Typical applications include the mail room, shipping yards, mortgage processing divisions, procurement, and more. Use this data to make more efficient and effective business decisions.

Try out the Custom Extractor. 

You can now extract metadata from documents directly into a BigQuery objects table. Seamlessly join the parsed data with other BigQuery tables to combine structured and unstructured data, paving the way for comprehensive document analytics. 

Learn more about the BigQuery and Document AI integration here. 

Assigning categories or classes to documents as they flow into a business process makes them easier to manage, search, filter, or analyze. Custom Splitter and Classifier use machine learning to accurately predict and categorize single documents or multiple documents within a file. Use these products to improve efficiencies of the document processes.

Learn more and try out the Custom Splitter and Custom Classifier.

SaaS customers and ISV partners can improve and expand their document processing solutions, quickly with generative AI. With a simple API prediction endpoint and document response format, customers can take document applications to the next level.

Enterprise Document OCR enables users to create value from archival content that is otherwise unusable for training machine learning models. OCR helps extract text from scanned documents, plots, reports, and presentations prior to saving on a cloud storage or a data warehouse. Use these high-quality OCR outputs to accelerate your digital transformation initiatives such as training ML models specific to your business. 

Capture document information for new generative AI architectures and frameworks. Combining OCR and the Vertex AI PaLM API lets users unlock valuable data from documents to build document Q&A experiences, perform automated document comparison, or even generate new documents.