- Overview
- Document Understanding Process
- Quickstart tutorials
- Framework components
- Data consumption Overview
- Data consumption related activities
- ML packages
- Overview
- Document Understanding - ML package
- DocumentClassifier - ML package
- ML packages with OCR capabilities
- 1040 - ML package
- 4506T - ML package
- 990 - ML Package - Preview
- ACORD125 - ML package
- ACORD126 - ML package
- ACORD131 - ML package
- ACORD140 - ML package
- ACORD25 - ML package
- Bank Statements - ML package
- Bills Of Lading - ML package
- Certificate of Incorporation - ML package
- Certificate of Origin - ML package
- Checks - ML package
- Children Product Certificate - ML package
- CMS 1500 - ML package
- EU Declaration of Conformity - ML package
- Financial Statements - ML package
- FM1003 - ML package
- I9 - ML package
- ID Cards - ML package
- Invoices - ML package
- Invoices Australia - ML package
- Invoices China - ML package
- Invoices India - ML package
- Invoices Japan - ML package
- Invoices Shipping - ML package
- Packing Lists - ML package
- Passports - ML package
- Payslips - ML package
- Purchase Orders - ML package
- Receipts - ML Package
- Remittance Advices - ML package
- Utility Bills - ML package
- Vehicle Titles - ML package
- W2 - ML package
- W9 - ML package
- Other Out-of-the-box ML Packages
- Public Endpoints
- Hardware requirements
- Pipelines
- Document Manager
- OCR services
- Deep Learning
- Document Understanding deployed in Automation Suite
- Install and use
- First run experience
- Deploy UiPathDocumentOCR
- Deploy an out-of-the-box ML package
- Offline bundles 2023.4.12
- Offline bundles 2023.4.11
- Offline bundles 2023.4.10+patch1
- Offline bundles 2023.4.10
- Offline bundles 2023.4.9
- Offline bundles 2023.4.8
- Offline bundles 2023.4.7
- Offline bundles 2023.4.6
- Offline Bundles 2023.4.5
- Oflline bundles 2023.4.4
- Offline Bundles 2023.4.3
- Offline Bundles 2023.4.2
- Offline Bundles 2023.4.1
- Offline Bundles 2023.4.0
- Use Document Manager
- Use the Framework
- Document Understanding deployed in AI Center standalone
- Licensing
- Activities
- UiPath.Abbyy.Activities
- UiPath.AbbyyEmbedded.Activities
- UiPath.DocumentProcessing.Contracts
- UiPath.DocumentUnderstanding.ML.Activities
- UiPath.DocumentUnderstanding.OCR.LocalServer.Activities
- UiPath.IntelligentOCR.Activities
- UiPath.OCR.Activities
- UiPath.OCR.Contracts
- UiPath.OmniPage.Activities
- UiPath.PDF.Activities
Document Understanding User Guide
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 UnderstandingTM framework.
