Document Understanding
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Document Understanding User Guide for Modern Experience
Last updated Jun 20, 2024

Choosing the automation type

To create a complete document processing solution, models developed in both classic and modern experiences must be integrated into document processing automation. Automation is a process that manages the logic of automatically gathering documents from different sources, implementing the processing logic, such as digitization, classification, extraction, and validation, along with the business logic. You can use UiPath Document Understanding to build automations that perform these functions using:

  • Robotic process automation (RPA) activities in Studio or Studio Web
  • APIs using Document Understanding cloud APIs

For an in-depth comparison between automation types, visit Automations in Document Understanding.

Activities

UiPath Document Understanding activities are a set of Studio and Studio Web activities designed to assist robotic process automation (RPA) developers build document processing solutions. You can currently choose between two types of activities for your Document Understanding projects:
  • IntelligentOCR activities
    Note: Support for IntelligentOCR activities is coming soon.
  • DocumentUnderstanding activities

Both sets of activities allow you to use a comprehensive document processing framework, which includes taxonomy definition, digitization, document classification, data extraction, and data validation. However, the activities differ in their accessible configuration details, ease of use, and compatibility with various features.

In addition, you can also use a set of activities designed to help you interact with PDF files. For more information, check the PDF Activities guide.

Document Understanding Cloud APIs

You can use API calls as an alternative to the robotic process automation (RPA) approach. API calls allow you to retrieve detailed information about your project, including the extractors and classifiers used. They also enable the use of digitization APIs, data classification and extraction from documents using both specialized and generative models, and validation of previously digitized, classified, and extracted information.

For more information on how to use the Document Understanding APIs, check the Document Understanding API Guide.

  • Activities
  • Document Understanding Cloud APIs

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