For several years, businesses have used Google Cloud’s Document AI to achieve faster, more accurate document processing, and improve the ways they process invoices, customer forms, and deliver services that rely on documents.
Generative AI is transforming enterprise document processing by letting users input natural language prompts to classify, extract, and get deeper insights from documents, all with high accuracy and limited-to-no machine learning (ML) training. We’re pleased to bring generative AI to Document AI, unlocking powerful and more efficient ways for organizations to structure, manage, and get insights from documents.
Announcing generative AI-powered extraction and summarization in Document AI Workbench
Document AI Workbench enables users to customize models for document processing tasks. In February 2023, we launched the Custom Extractor in General Availability (GA) to help users extract structured data from documents. In March 2023, we launched the Custom Classifier in GA to help automatically classify document types. In July, we launched the Custom Splitter in GA to help automatically split and classify multiple documents within a single file.
At Google Next ’23, we built on this momentum by announcing the public preview launches of two generative AI-powered features in Document AI Workbench: a version of Custom Extractor that uses foundation models, and Summarizer.
Generative AI-powered extraction can help pull data from documents with lots of free form text (like contracts), complex layouts (such as invoices, w2s, and bills of lading), or little or no training data available. Now that a foundation model is available in the Custom Extractor, users can call the endpoint with any document and get structured data quickly, without any configuration required.
Summarizer can be used out of the box without training to provide summaries for documents up to 250 pages long. Most generative AI solutions do not have context windows that can support long documents, requiring that information be broken into small chunks, but Summarizer removes these concerns, making it easy to generate custom summaries based on the user’s preferred length and format.
Here’s what some customers with early access are saying:
