document-understanding
2022.4
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- Overview
- Introduction
- Language Support
- AI Center Relation to Document Understanding
- Document Understanding Process
- Document Understanding Process: Studio Template
- Quickstart Tutorials
- Extracting Data From Receipts
- Invoices Retrained With One Additional Field
- Extracting Data From Forms
- Framework Components
- Taxonomy
- Taxonomy Overview
- Taxonomy Manager
- Taxonomy Related Activities
- Digitization
- Digitization Overview
- OCR Engines
- Digitization Related Activities
- Document Classification
- Document Classification Overview
- Configure Classifiers Wizard of Classify Document Scope
- Keyword Based Classifier
- Special Requirements
- Intelligent Keyword Classifier
- Special Requirements
- FlexiCapture Classifier
- Machine Learning Classifier
- Document Classification Related Activities
- Document Classification Validation
- Document Classification Validation Overview
- Classification Station
- Document Classification Validation Related Activities
- Document Classification Training
- Document Classification Training Overview
- Configure Classifiers Wizard of Train Classifiers Scope
- Machine Learning Classifier Trainer
- Document Classification Training Related Activities
- Data Extraction
- Data Extraction Overview
- Configure Extractors Wizard of Data Extraction Scope
- RegEx Based Extractor
- Special Requirements
- Form Extractor
- Special Requirements
- Intelligent Form Extractor
- Special Requirements
- Machine Learning Extractor
- FlexiCapture Extractor
- Data Extraction Related Activities
- Data Extraction Validation
- Data Extraction Validation Overview
- Validation Station
- Data Extraction Validation Related Activities
- Data Extraction Training
- Data Extraction Training Overview
- Configure Extractors Wizard of Train Extractors Scope
- Machine Learning Extractor Trainer
- Data Extraction Training Related Activities
- Data Consumption
- Data Consumption Overview
- Data Consumption Related Activities
- ML Packages
- About ML Packages
- Hardware Requirements
- Supported languages
- OCR
- ML Packages
- Other services
- OCR Configuration
- Pipelines
- About Pipelines
- Training Pipelines
- Evaluation Pipelines
- Full Pipelines
- Fine-tuning
- The Auto-Fine-tuning Loop (Public Preview)
- Data Manager
- About Data Manager
- Access Data Manager
- Create and Configure Fields
- Use a Predefined Schema
- Import Documents
- Label Documents
- Search Documents
- Export Documents
- Checkboxes and Signatures
- OCR Services
- OCR Services
- Document Understanding deployed in Automation Suite
- Install and Use
- First Run Experience
- Deploy UiPathDocumentOCR
- Deploy an Out-of-the-box ML Package
- ML Packages Offline Installation
- Offline bundles 2022.4.15
- Offline Bundles 2022.4.14
- Offline Bundles 2022.4.13
- Offline Bundles 2022.4.12
- Offline Bundles 2022.4.11
- Offline Bundles 2022.4.9
- Offline Bundles 2022.4.7
- Offline Bundles 2022.4.5
- Offline Bundles 2022.4.0
- Use Document Manager
- Use the Framework
- Document Understanding deployed in AI Center standalone
- Install and Use
- Hardware Requirements
- SQL Server Requirements
- First Run Experience
- Activate the License
- Create a Project on AI Center
- Upload the Document Understanding ML Packages
- Create a Data Labeling Session
- Launch the Data Labeling Session
- Deploy UiPathDocumentOCR
- Deploy an Out-of-the-box ML Package
- Create an Invoices ML Package
- Deploy the Invoices ML Package as an ML Skill
- ML Packages Offline Installation
- Use Document Manager
- Use the Framework
- Use Document Understanding Models (including UiPathDocumentOCR)
- Deep Learning
- Training High Performing Models
- Build a High Performing ML Model
- 5. Configure the Fields
- 6. Label the Training Dataset
- 13. Deploy Your Automation
- Licensing
- Public Endpoints
- API Key
- Cloud and On-Prem Usage
- Machine Learning Extractor
- Metering & Charging Logic
- Legal Information
- References
- Activities Packages
- 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
Document Understanding User Guide
Last updated Apr 4, 2025
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.