- Overview
- Document Understanding Process
- Quickstart Tutorials
- Framework Components
- ML Packages
- Pipelines
- Document Manager
- OCR Services
- Document Understanding deployed in Automation Suite
- Document Understanding deployed in AI Center standalone
- Deep Learning
- Licensing
- References
- UiPath.Abbyy.Activities
- UiPath.AbbyyEmbedded.Activities
- UiPath.DocumentUnderstanding.ML.Activities
- UiPath.DocumentUnderstanding.OCR.LocalServer.Activities
- UiPath.IntelligentOCR.Activities
- UiPath.OCR.Activities
- UiPath.OCR.Contracts
- UiPath.DocumentProcessing.Contracts
- UiPath.OmniPage.Activities
- UiPath.PDF.Activities
First run experience
Follow the steps below to access Document UnderstandingTM in AI Center standalone environment:
- 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
For the AI Center standalone online version, sign in to AI Center, then go to Admin > Licenses and input your license key. More information on how to access the installed AI Center and Document Understanding can be found here.
Upon successful activation, under Robots & Services, AI robots quantity should not be 0. A specified number of pages are shown for Document Understanding after clicking the Generate new button.
For the AI Center standalone offline version, please first request a licensing file from UiPath DealHub with On Prem Orchestrator used for licensing.
- 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 UnderstandingTM ML Packages to AI Center. You need to upload only the models you want to use.
Detailed instructions can be found here.
Create a data labeling session to use Data Manager to label your dataset and retrain the base model.
To do so, go to Data Labeling > UiPath Document Understanding.
Name the data labeling session, enable the Create new dataset slider, name the dataset and then click Create.
This may take a few minutes to deploy. Please refresh the page if the status does not change.
