- Overview
- Getting started
- Activities
- Insights dashboards
- Document Understanding Process
- Quickstart tutorials
- Framework components
- Overview
- Document Understanding activities
- Data consumption
- API calls
- ML packages
- Overview
- Document Understanding - ML package
- DocumentClassifier - ML package
- ML packages with OCR capabilities
- 1040 - ML package
- 1040 Schedule C - ML package
- 1040 Schedule D - ML package
- 1040 Schedule E - ML package
- 1040x - ML package
- 3949a - ML package
- 4506T - ML package
- 709 - ML package
- 941x - ML package
- 9465 - 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 Hebrew - ML package
- Invoices India - ML package
- Invoices Japan - ML package
- Invoices Shipping - ML package
- Packing Lists - ML package
- Payslips - ML package
- Passports - ML package
- Purchase Orders - ML package
- Receipts - ML Package
- Remittance Advices - ML package
- UB04 - 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
- Traffic limitations
- OCR Configuration
- Pipelines
- OCR services
- Supported languages
- Deep Learning
- Licensing
Document Understanding User Guide
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 UnderstandingTM framework.
ExtractionResult variable to a DataSet variable
which can be further processed. More details here.
