- Getting Started
- Framework Components
- Document Understanding in AI Center
- Pipelines
- ML Packages
- About ML Packages
- Supported Languages
- OCR Configuration
- Install and Use Intelligent Form Extractor
- Hardware Requirements
- Data Manager
- OCR Services
- Licensing
- References
Install and Use Intelligent Form Extractor
There are two main steps that you need to do for using Intelligent Form Extractor:
Make sure the Enable GPU toggle is turned off.
Skill description is optional but we recommend providing this information for later convenience.
Click Create to create an ML Skill corresponding to the HandwritingRecognition package.
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Once the ML Skill is ready and the status changes to Available, select the newly created ML Skill. Click Modify current deployment, turn on the Make ML Skill Public toggle and click Confirm.
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Select again the ML Skill. Copy the URL from the top section. This is the URL that you will later use for setting up IntelligentFormExtractor.
Even though these fields are suggested as Optional, you still need to provide this information. Not providing this information will result in errors and you will not be able to use Intelligent Form Extractor.
Click Submit to create the package.
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Once the package is created, you need to create a corresponding ML Skill.
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Navigate to the ML Skills tab, click Create new and provide the required information.
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Make sure the Enable GPU toggle is turned off.
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Skill description is optional but we recommend providing this information for later convenience.
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Click Create to create an ML Skill corresponding to the IntelligentFormExtractor package.
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Once the ML Skill is ready and the status changes to Available, select the newly created ML Skill. Click Modify current deployment, turn on the Make ML Skill Public toggle and click Confirm.
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Select again the ML Skill. Copy the URL from the top section. This is the URL that you will use in the Studio workflow.
Now you are ready to use Intelligent Form Extractor in a Studio workflow. Use the URL obtained above in the Endpoint configuration.