- Overview
- Getting started
- Activities
- Insights dashboards
- Document Understanding Process
- Quickstart tutorials
- Framework components
- Model Details
- 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
- 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
- OCR services
- Supported languages
- Deep Learning
- Data and security
- Licensing and Charging Logic
OCR engines available for document digitization in Document Understanding, with supported image resolution ranges and guidance on selecting an engine.
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} | ✅ |
| UiPath Document OCR | UiPath.OCR.Activities | ${date:format=yyyy-MM-dd} | ✅ |
| OCR for Chinese, Japanese and Korean | UiPath.Core.Activities.CjkOCR | ${date:format=yyyy-MM-dd} | ✅ |
| OmniPage OCR | UiPath.OmniPage.Activities | ${date:format=yyyy-MM-dd} | ✅ |
| Google Cloud Vision OCR | UiPath.UIAutomation.Activities | ${date:format=yyyy-MM-dd} | ❌ if DetectionMode is set to TextDetection (default) ✅ if DetectionMode is set to DocumentTextDetection |
| Microsoft Azure Computer Vision OCR | UiPath.UIAutomation.Activities | ${date:format=yyyy-MM-dd} | ❌ if UseReadAPI is not selected (default) ✅ if UseReadAPI is selected |
| Microsoft OCR | UiPath.UIAutomation.Activities | ${date:format=yyyy-MM-dd} | ❌ |
| Tesseract OCR | UiPath.UIAutomation.Activities | ${date:format=yyyy-MM-dd} | ✅ |
When debugging errors, you can always visit the logs folder and check the relevant OCR log files. Read more about logging here.