Document AI Workbench

Workbench Custom Extractor is now GA. Try it now below.

Use artificial intelligence to process documents—extract, classify, and split. With Document AI Workbench, you can now use foundation models to quickly create parsers without the need to label, annotate, or train new models.

Custom Extractor is now powered with generative AI to parse documents with speed and accuracy
Fine-tuning is now available for foundation models
Create a custom classification or splitting model quickly
Creating a processor is free of charge
New Google Cloud customers get $300 in free credits

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Document AI Custom Extractor is now powered by gen AI

Benefits

Higher accuracy

Experience fewer errors and faster, more-accurate results using generative AI. Fine-tune foundation models to achieve even higher extraction accuracies.

Lower cost

Spend less time labeling and annotating datasets with generative AI, fine tuning and auto-labeling tools

Faster time to value

From unstructured documents to fixed layout forms, you can now use generative AI to process your business documents quickly and out of the box.

Demo

Try Document AI in your environment

Extract data from your documents using generative AI. For full product capabilities head to Document AI in the Google Cloud console.

Key features

Custom Extractor

Uses generative AI to accurately parse and extract data from structured and unstructured documents in a production environment. The Custom Extractor provides a simple way to create such processors with a UI or API.

Fine tuning

To achieve higher accuracies, Custom Extractor enables you to fine tune a foundation model in cases where you have little or no training data available or when the layout variation of a document is high. These documents can be contracts, terms of service, invoices, bank statements, bills of lading, payslips. The fine tuning feature is simple and easy to use.

Custom Classifier

Create a processor that uses artificial intelligence to identify a document type from a user-defined set of document classes, helping save time and resources. Use this feature to validate document intake, automate downstream processes, or redirect a document for further processing.

Custom Splitter

Custom Splitter helps developers create a processor that identifies classes of documents from a user-defined set of classes. The Custom Splitter analysis will provide the class (or document type) and page number for a file containing multiple documents. For example, the Splitter will provide the page numbers of a driver’s license, paystub, tax form, and bank statement within a single file.

What's new

What’s new

Blog post

Mobilize your unstructured data with generative AILearn more

Blog post

Ask your documents: Document AI and PaLM2 for question and answerLearn more

Blog post

Workbench is now powered by generative AI to structure document data fasterRead the blog

Documentation

Tutorial

Create an extractor using generative AI and Workbench

You can use generative AI to create a document parser in minutes. Fine tune the model for higher accuracies or auto-label a new dataset as needed.

Tutorial

Create a classifier using Workbench

Create custom classifiers that identify documents from a user-defined set of classes.

Tutorial

Create a splitter using Workbench

Custom splitters can split and classify multiple documents within a single file. Your custom splitter is trained and evaluated with your data.

Tutorial

Label documents

Learn how to apply labels from your model schema to imported documents in your dataset.

Tutorial

Train a model from scratch

Train template based processors to extract data from forms with fixed layouts or train a custom model to extract data from documents with moderate layout variation.

Tutorial

Evaluate model performance

An evaluation is automatically run whenever you train or uptrain a model. See how to run a manual evaluation to get updated metrics after modifying the test set.

Not seeing what you’re looking for?

Use cases

Use case

Extract data to drive automation and analytics

Use Document AI Workbench to automate data entry by extracting structured data from your documents. Enable downstream analytics or search features. Use this data to make more efficient and effective business decisions.

Try out the Custom Extractor.

Use case

Make SaaS, mobile, and web applications smarter

Technology customers and partners can improve and expand their document processing solutions quickly with generative AI. With a simple API prediction endpoint and JSON document response format, you can integrate powerful Document AI processors into your platform or solution.

Use case

Supply chain

Quickly create accurate document processors to classify and extract data from supply chain and procurement use cases. These can include purchase orders, invoices, bills of lading, vendor intake, receipts, and more.

Use case

Financial services and insurance

Create processors to help automate banking, lending, and insurance workflows. These include financial statements, insurance forms, account documents, identification, and KYC documents.

Pricing