- Overview
- Document Understanding Process
- Quickstart Tutorials
- Framework Components
- ML Packages
- Pipelines
- Document Manager
- OCR Services
- Document Understanding deployed in Automation Suite
- Install and use
- First run experience
- Deploy UiPathDocumentOCR
- Deploy an out-of-the-box ML package
- Offline Bundles 2022.10.0
- Offline Bundles 2022.10.2
- Offline Bundles 2022.10.4
- Offline Bundles 2022.10.6
- Offline Bundles 2022.10.8
- Offline bundles 2022.10.9
- Offline Bundles 2022.10.10
- Offline bundles 2022.10.11
- Offline bundles 2022.10.12
- Offline bundles 2022.10.13
- Offline bundles 2022.10.14
- Offline bundles 2022.10.14+patch1
- Use Document Manager
- Use the Framework
- 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
OCR Engines
An OCR Engine is used in the Digitization component, to identify text in a file, when native content is not available.
The images that need to be processed should have a resolution range of:
- min: 50 x 50 MP
- max: 9000 x 9000 MP
Here is a selection of OCR Engines that you can choose from, according to your needs, throughout the Document Understanding Framework.
|
OCR Engine |
Activity Pack |
Debug Logs Format in Logs Folder |
Reports Confidence |
|---|---|---|---|
|
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`${date:format=yyyy-MM-dd |
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`${date:format=yyyy-MM-dd |
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`${date:format=yyyy-MM-dd |
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`${date:format=yyyy-MM-dd |
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`${date:format=yyyy-MM-dd |
| |
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`${date:format=yyyy-MM-dd |
| |
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`${date:format=yyyy-MM-dd |
|
