Document Understanding
2022.4
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- 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
Document Understanding User Guide
Last updated Mar 13, 2024
Hardware Requirements
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.
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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.
