document-understanding
2023.10
false
Document Understanding user guide
- 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 2023.10.12+patch1
- Offline bundles 2023.10.12
- 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
ID Cards ML package that extracts identity document fields such as name, date of birth, ID number, and nationality from identity documents issued by various countries.
Overview
The ID Cards model is a pretrained model built to extract information from Identity Documents from various countries.
Particularities
The model automatically detects data such as:
- Document Type, Last Name, First Name, Birth Place, Date of Birth, Sex, Nationality,
- ID Number, Issued Date, Expiration Date, Issued Place, Authority, Address.
Samples
Here are some samples of an ID form:
Processed document types:
This out-of-the-box pre-trained model can be used with the following document types:
- ID Cards
- Driver Licenses