- 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
 - 1040 Schedule C - ML package
 - 1040 Schedule D - ML package
 - 1040 Schedule E - 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
 - 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
 - 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 2023.10.11
 - Offline bundles 2023.10.10
 - Offline bundles 2023.10.9
 - Offline bundles 2023.10.8
 - Offline bundles 2023.10.7+patch1
 - Offline bundles 2023.10.7
 - Offline bundles 2023.10.6
 - Offline bundles 2023.10.5
 - Offline bundles 2023.10.4
 - Offline bundles 2023.10.3
 - Offline bundles 2023.10.2
 - Offline bundles 2023.10.1
 - Offline bundles 2023.10.0
 
- 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
An OCR Engine is used in the Digitization component, to identify text in a file, when native content is not available.
The images that need to be processed should have a resolution range of:
- min: 50 x 50 pixels
 - max: 9000 x 9000 pixels
 
Here is a selection of OCR Engines that you can choose from, according to your needs, throughout the Document UnderstandingTM Framework.
| 
                           
                            OCR Engine  | 
                           
                            Activity Pack  | 
                           
                            Debug Logs Format in Logs Folder  | 
                           
                            Reports Confidence  | 
|---|---|---|---|
| UiPath Extended Languages OCR | UiPath.OCR.Activities | ${date:format=yyyy-MM-dd} | 
                           
                            | 
| 
                           
                            
  | ${date:format=yyyy-MM-dd} | 
                           
                            | |
| OCR for Chinese, Japanese and Korean | UiPath.Core.Activities.CjkOCR | ${date:format=yyyy-MM-dd} | 
                           
                            | 
| 
                           
                            
  | ${date:format=yyyy-MM-dd} | 
                           
                            | |
| 
                           
                            
  | ${date:format=yyyy-MM-dd} | 
                           
                            
 
  | |
| 
                           
                            
  | ${date:format=yyyy-MM-dd} | 
                           
                            
 
  | |
| 
                           
                            
  | ${date:format=yyyy-MM-dd} | 
                           
                            | |
| 
                           
                            
  | ${date:format=yyyy-MM-dd} | 
                           
                            |