- 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
Document Understanding user guide
Offline bundles 2023.10.0
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.
In a scenario where you are using two Automation Suite offline environments - one for development and the other for production, it is important to mirror version consistency. For example, if you are training models on version 2024.10.0 in a development cluster and then move these models to a production cluster, you need to install bundle version 2024.10.0. This is an exceptional use case. As a best practice, always use the latest version of your models for the best results.
To ensure the compatibility of the model you want to install, check the table below.
| Model version | Platform version | |||||
|---|---|---|---|---|---|---|
| 2.2510 | 2024.10 | 2023.10 | 2023.4 | 2022.10 | 2022.4 | |
| 2.2510 | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| 2024.10 | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
| 2023.10 | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
| 2023.4 | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ |
| 2022.10 | ❌ | ❌* | ❌* | ✅ | ✅ | ❌ |
| 2022.4 | ❌ | ❌* | ❌* | ❌* | ❌* | ✅ |
Offline bundle for UiPathDocumentOCR
The UiPathDocumentOCR offline bundle needs to be installed for the ML Packages in the table below.
| ML Packages | Model version | Metadata |
|---|---|---|
| UiPathDocumentOCR | 23.10.0 | Here |
Offline bundle for UiPathDocumentOCR_CPU
The UiPathDocumentOCR_CPU offline bundle needs to be installed for the ML Packages in the table below.
| ML Packages | Model version | Metadata |
|---|---|---|
| UiPathDocumentOCR_CPU | 23.10.0 | Here |
Offline bundle for OCR for Chinese, Japanese, Korean
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 | 23.10.0 (latest version) | N/A |
Offline bundle for out-of-the-box pre-trained ML packages
The Out-of-the-box Pre-trained ML Packages offline bundle needs to be installed for the ML Packages in the table below.
| ML Packages | Model version | Metadata |
|---|---|---|
| DocumentUnderstanding | 23.10.0 | Here |
| Invoices | 23.10.0 | Here |
| InvoicesIndia | 23.10.0 | Here |
| InvoicesJapan | 23.10.0 | Here |
| InvocesChina | 23.10.0 | Here |
| Receipts | 23.10.0 | Here |
| Certificate of Incorporation/ Good Standing | 23.10.0 | Here |
| Certificates of Origin | 23.10.0 | Here |
| Children Product Certificate | 23.10.0 | Here |
| CMS1500 | 23.10.0 | Here |
| EU Declaration of Conformity | 23.10.0 | Here |
| Invoices Shipping | 23.10.0 | Here |
| Pay slips | 23.10.0 | Here |
| PurchaseOrders | 23.10.0 | Here |
| UtilityBills | 23.10.0 | Here |
| IDCards | 23.10.0 | Here |
| Passports | 23.10.0 | Here |
| RemittanceAdvices | 23.10.0 | Here |
| BillsOfLading | 23.10.0 | Here |
| W2 | 23.10.0 | Here |
| W9 | 23.10.0 | Here |
| ACORD125 | 23.10.0 | Here |
| I9 | 23.10.0 | Here |
| 990 | 23.10.0 | Here |
| 4506T | 23.10.0 | Here |
| FM1003 | 23.10.0 | Here |
| ACORD25 | 23.10.0 | Here |
| ACORD131 | 23.10.0 | Here |
| ACORD126 | 23.10.0 | Here |
| ACORD140 | 23.10.0 | Here |
| 1040 | 23.10.0 | Here |
| Checks | 23.10.0 | Here |
| Bank Statements | 23.10.0 | Here |
| Financial statements | 23.10.0 | Here |
| Packing Lists | 23.10.0 | Here |
| Vehicle Titles | 23.10.0 | Here |
Offline bundle Dulv4 (latest version)
The dulv4 offline bundle needs to be installed only if you want to use ML Packages from the 2022.4.0 enterprise release with AI Center version 2023.10.
For the metadata links, check out the tables in the 2022.4 Document Understanding User Guide.
Offline bundle Dulv3
The dulv3 offline bundle needs to be installed only if you want to use ML Packages from the 2021.10 enterprise release with AI Center version 2023.10.
For the metadata links, check out the tables in the 2021.10 Document Understanding User Guide.