document-understanding
2023.10
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
- 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
- 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
Offline bundles 2023.10.7
Document Understanding User Guide
Last updated Dec 18, 2024
Offline bundles 2023.10.7
Each offline bundle contains base images used by multiple ML packages. To make sure which bundle to download for a certain model version, check their compatibility.
Important: To ensure the compatibility of the model you
want to install, check the table below.
* - Models still work if you upgrade the platform, but they are not
actively maintained in this platform version and security issues are no longer fixed. We
recommend updating to a newer model to maintain a safe security posture in your
environments.
Model version | Platform version | ||||
---|---|---|---|---|---|
2024.10 | 2023.10 | 2023.4 | 2022.10 | 2022.4 | |
2024.10 | |||||
2023.10 | |||||
2023.4 | |||||
2022.10 | * | * | |||
2022.4 | * | * | * | * |
The CJKOCR offline bundle needs to be installed for the ML Packages in the table below. This bundle can be used only on a CPU VM.
If you want to enable Chinese, Japanese, Korean OCR in an offline environment, you also need to follow these steps.
ML Packages |
Model version |
Metadata |
---|---|---|
OCR for Chinese, Japanese, Korean |
23.10.7 |
N/A |