document-understanding
2022.4
false
- Overview
- Document Understanding Process
- Quickstart Tutorials
- Framework Components
- ML Packages
- Pipelines
- Data Manager
- OCR Services
- Document Understanding deployed in Automation Suite
- Document Understanding deployed in AI Center standalone
- 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
Document Understanding User Guide
Last updated Apr 4, 2025
Before starting the Document Understanding installation, make sure to check and satisfy all requirements for AI Center standalone for single-node here and for multi-node here.
A GPU is strongly recommended for Document Understanding in one of the following scenarios:
- If you retrain the Document Understanding models (DocumentUnderstanding - the general model, Invoices, Receipts, etc.) on AI Center.
- Training on CPU is 5-7 times slower and model performance degrades compared to training on GPU.
- If you run UiPathDocumentOCR (non-edge version) on AI Center to process more than 2 million pages a year.
-
If you do not use a GPU, slow performance may impact the product experience.
For more details about how to provision a GPU, see Adding a dedicated agent node with GPU support.
