document-understanding
2024.10
true
- 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
- Deep Learning
- Insights dashboards
- Getting started with Insights dashboards
- Filter your Insights dashboards
- AI units consumption overview - Preview dashboard
- [Preview] Document Understanding and AI Center consumption dashboard
- Document Understanding deployed in Automation Suite
- Document Understanding deployed in AI Center standalone
- 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
[Preview] Document Understanding and AI Center consumption dashboard
Document Understanding User Guide
Last updated Nov 15, 2024
[Preview] Document Understanding and AI Center consumption dashboard
Based on the actions performed in Document UnderstandingTM and AI Center, the dashboard offers a detailed view of the AI units consumption at tenant level.
Note:
- By default, there is no data retention for Automation Suite deployments.
- To access the AI units consumption overview dashboard, you must purchase Insights and enable it for your tenant.
For more information on how to track the consumption at tenant level, check the Document Understanding AI units consumption page from the Insights Guide.
Note: For Document Understanding, the data covers both cross-platform
DocumentUnderstanding.Activities and IntelligentOCR.Activities, applicable for both
classic and modern projects, as well as consumption occurring by using API calls. Data
is reported for pre-trained specialized, as well as custom models.
To access the Document Understanding and AI Center AI units consumption dashboard, Insights must be enabled on your tenant.
Make sure you are using these minimum versions or higher:
- UiPath Studio and Robot: 2023.6
- UiPath.DocumentUnderstanding.Activities package: 2.9.1
- UiPath.DocumentUnderstanding.ML.Activities package: 1.28.2
- UiPath.IntelligentOCR.Activities package: 6.19.1
- UiPath.MLServices.Activities: 2.0.2
Note: AI units consumed by the AI Center ML skills, based on out of
the box packages that are older than version 22.10, are not displayed in the dashboard.
Only the AI units consumed for infrastructure are displayed. AI units used for calling
skills are not tracked and therefore are not displayed in the dashboard.
Note that upgrading the ML packages version also implies retraining for retrainable models.