- 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
- 1040x - ML package
- 3949a - ML package
- 4506T - ML package
- 709 - ML package
- 941x - ML package
- 9465 - 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 China - ML package
- Invoices Hebrew - 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
- Supported languages
- Deep Learning
- Insights dashboards
- 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
Document Understanding user guide
First run experience
Use the following steps to access Document UnderstandingTM in Automation Suite:
- Activate the license
- Enable AI Center on the tenant
- Create a project on AI Center
- Upload the model base images
- Create a data labeling session
- Launch the data labeling session
Activate the license
Sign in to Automation Suite, then go to Admin > Licenses and input your license key. More information on how to access Automation Suite can be found here.
Upon successful activation, under Consumables, AI Units quantity should not be 0. A specified number of pages are shown for Document Understanding after selecting the Generate new button.
Enable AI Center on the tenant
Go to Admin > Tenants, select the three dot menu and select AI Center as a provision service under Tenant Setting.
If Document Understanding is enabled on your tenant without the activation of Document Understanding modern projects, the Document Understanding application (accessible from the list on the left side) will not work. To access Document Understanding AI Center-based projects, use the AI Center application instead. However, if Document Understanding modern projects are activated, you can access Document Understanding through the applications list on the left side. 
Create a project on AI Center
- To create a project on AI Center, select AI Center on the left rail, and then select Create Project from the top bar.
- Enter a project name and select Create.
Upload the Document Understanding ML packages
This step is required only for offline installation. For online installation, skip this step as all the models should already be under ML Packages > Out of the box Packages > UiPath Document Understanding.
Upload the Document UnderstandingTM ML Packages to AI Center. You need to upload only the models you want to use.
Detailed instructions can be found here.
If you are using Form Extractor, Intelligent Form Extractor, and Intelligent Keyword Classifier, you can directly access the model without uploading it to AI Center. Detailed instructions can be found here.
Create a Data Labeling session
Create a data labeling session to use Data Manager to label your dataset and retrain the base model.
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Go to Data Labeling > UiPath Document Understanding.
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Name the data labeling session, enable the Create new dataset slider.
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Name the dataset and then select Create.
This may take a few minutes to deploy. Please refresh the page if the status does not change.
Launch the Data Labeling session
Select the newly created data labeling session from the list to launch it.
