document-understanding
2022.10
false
- Overview
- Document Understanding Process
- Quickstart Tutorials
- Framework Components
- Data Consumption
- ML Packages
- Pipelines
- Document Manager
- OCR Services
- Document Understanding deployed in Automation Suite
- Document Understanding deployed in AI Center standalone
- Deep Learning
- Licensing
- References
- UiPath.Abbyy.Activities
- UiPath.AbbyyEmbedded.Activities
- UiPath.DocumentUnderstanding.ML.Activities
- UiPath.DocumentUnderstanding.OCR.LocalServer.Activities
- UiPath.IntelligentOCR.Activities
- UiPath.OCR.Activities
- UiPath.OCR.Contracts
- UiPath.DocumentProcessing.Contracts
- UiPath.OmniPage.Activities
- UiPath.PDF.Activities
Data Consumption
Document Understanding User Guide
Last updated Nov 11, 2024
Data Consumption
This section includes general and technical information about the Data Consumption component.
Once you validate the extracted data, you can use it as it is or export it as a
DataSet
variable using the Export Extraction Results activity.
The variable can be later saved into a
DataTable
format, so you can export it to whatever environment you need in order to consume it.
When Data Consumption Should Be Used
For instance, you can easily convert the values into an Excel file, further process the data in Queues and then perform data entry into an Enterprise Resource Planning tool.
How to Use the Data Consumption Component
Taking this into account, the Export Extraction Results activity can be used with:
-
Automatic extraction results output of the Data Extraction Scope - for RPA-based validation purposes, this is an excellent alternative of accessing the extracted data.
Note: Make sure to set the IncludeConfidence flag to True. - Confirmed extraction results output of the Present Validation Station - for downstream usage purposes, this is a straightforward means of accessing the actual values extracted through the Document Understanding framework.
Gives you easy access to extraction results by exporting results from an
ExtractionResult
variable to a DataSet
variable which can be further processed. More detailshere.