document-understanding
2023.4
false
- Overview
- Document Understanding Process
- Quickstart tutorials
- Framework components
- 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
Last updated Sep 15, 2025
Machine Learning Classifier
linkMachine Learning Classifier uses a machine learning model deployed as an ML Skill in AI Center to perform document classification tasks.
How to configure at design-time
linkPerform the following steps to use the Machine Learning Classifier:
- Create a classifier model on AI Center.Note: Use the DocumentClassifier package that is available under Out-of-Box Document UnderstandingTM packages on AI Center. The data required for model training is collected through Machine Learning Classifier Trainer.
-
Use the Taxonomy Manager Wizard to define your document type, with the
fields you are targeting for data extraction. The Machine Learning
Classifier activity can work by default with the following:
- 1040
- 4506T
- 990
- Acord125
- Acord126
- Acord131
- Acord140
- Acord25
- Bank Statements
- Bills of Lading
- Checks
- Financial Statements
- FM1003
- I9
- ID Cards
- Invoices
- Packing Lists
- Passports
- Purchase Orders
- Receipts
- Remittance Advices
- Utility Bills
- Vehicle Titles
- W2
- W9 forms.
- Drag and drop the Machine Learning Classifier activity into the Classify Document Scope activity. Review the message and select OK.
- In the Machine Learning Classifier wizard that automatically opens, provide the ML Skill and the ApiKey information.
When to use
linkYou should consider using the Machine Learning Classifier if:
- Your need to classify the single documents into different document types where no splitting is required.
- The custom document types are very similar. A trained Machine Learning Classifier can differentiate more easily between two similar document types than the Intelligent Keyword Classifier.