document-understanding
latest
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- Overview
- Introduction
- Capabilities overview
- AI Center relation to Document Understanding
- Getting started
- Introduction
- Enabling Document Understanding™ and creating a project
- Customer-Managed Keys
- Role based access control in Document Understanding™
- Access the role based access control
- Manage access
- Creating a custom role
- Document types (Document Manager)
- Access Document types
- Use a predefined schema
- Create and configure fields
- Import documents
- Label documents
- Search documents
- Export documents
- Checkboxes and signatures
- Dataset diagnostics
- Forms AI
- One Click Classification
- One Click Extraction
- Activities
- Activities packages
- UiPath.DocumentProcessing.Contracts
- UiPath.DocumentUnderstanding.Activities
- UiPath.DocumentUnderstanding.ML.Activities
- UiPath.DocumentUnderstanding.OCR.LocalServer.Activities
- UiPath.IntelligentOCR.Activities
- UiPath.OCR.Activities
- UiPath.OCR.Contracts
- UiPath.OmniPage.Activities
- UiPath.PDF.Activities
- Insights dashboards
- AI units consumption dashboards
- [Preview] AI units consumption overview
- IxP AI Unit consumption dashboard
- FAQ and troubleshooting
- Document Understanding Process
- Document Understanding Process template
- Quickstart tutorials
- Extracting data from receipts
- Invoices retrained with one additional field
- Extracting data from Forms
- Create a new automation starting from a file
- Framework components
- Overview
- Document Understanding activities
- Intelligent OCR activities
- Taxonomy
- Taxonomy overview
- Taxonomy Manager
- Taxonomy related activities
- Digitization
- Digitization overview
- Digitization related activities
- OCR engines
- Document classification
- Document classification overview
- Configure Classifiers Wizard of Classify Document Scope
- Intelligent Keyword Classifier
- Keyword Based Classifier
- Machine Learning Classifier
- Generative Classifier
- Document classification related activities
- Document Classification Validation
- Document classification validation overview
- Classification Station
- Document classification validation related activities
- Document Classification Training
- Configure Classifiers Wizard of Train Classifiers Scope
- Document classification training overview
- Document classification training related activities
- Machine Learning Classifier Trainer
- Data extraction
- Configure Extractors Wizard of Data Extraction Scope
- Data extraction overview
- Data extraction related activities
- Form Extractor
- Intelligent Form Extractor
- Machine Learning Extractor
- RegEx Based Extractor
- Data Extraction Validation
- Data Extraction Validation overview
- Data extraction validation related activities
- Validation Station
- Data Extraction Training
- Configure Extractors Wizard of Train Extractors scope
- Data Extraction Training overview
- Data extraction training related activities
- Machine Learning Extractor Trainer
- Data consumption
- API calls
- ML packages
- Overview
- Document Understanding - ML package
- DocumentClassifier - ML package
- ML packages with OCR capabilities
- Out-of-the-box pre-trained ML packages
- 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
- 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 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
- About pipelines
- Terms and definitions
- Training Pipelines
- Evaluation Pipelines
- Full Pipelines
- Fine-tuning
- The Auto-Fine-tuning Loop (Public Preview)
- OCR services
- OCR services
- Supported languages
- Overview
- OCR
- ML models and capabilities
- Deep Learning
- Training high performing models
- Deploying high performing models
- Data and security
- Data residency
- Data storage
- Legal information
- Licensing
- API Key
- Cloud and on-premises usage
- Metering and charging logic (Unified Pricing)
- Metering and charging logic (Flex Plan)
Document Understanding User Guide
Last updated Feb 9, 2026
An OCR Engine is used in the Digitization component, to identify text in a file, when native content is not available.
Note:
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} |
|
Note: When debugging errors, you can always visit the logs folder and check the relevant OCR log files. Read more about logging here.