AI Table Assist
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What is AI Table Assist?
AI Table Assist is a feature that enhances the extraction of tabular data from documents using artificial intelligence. More details are available here. -
How do I enable AI Table Assist for my documents?
Enable AI Table Assist through the document settings where you can configure table extraction parameters. Enabling instructions are provided here. -
What types of tables can AI Table Assist handle?
AI Table Assist can handle a variety of table formats, including structured and unstructured tables. Details on supported table types are available here. -
How does AI Table Assist improve table extraction accuracy?
It uses advanced algorithms to identify and extract tabular data more accurately by understanding table structures and content. Improvement details are provided here. -
Can I customize the table extraction settings?
Yes, customization options are available to adjust how tables are processed and extracted based on specific requirements. Customization instructions are available here. -
How do I test the AI Table Assist feature?
Test the feature by processing sample documents and reviewing the extracted table data. Testing procedures are available here. -
What should I do if table extraction results are not accurate?
Review and adjust the extraction settings, ensure that tables are well-structured, and consult the troubleshooting guide. Troubleshooting tips are provided here. -
Can AI Table Assist be used with scanned documents?
Yes, AI Table Assist can be applied to scanned documents, but ensure that the scan quality is high for better results. Scanned document instructions are available here. -
How do I integrate extracted table data with other systems?
Integrate data through available APIs or export options provided in the AI Table Assist settings. Integration details are available here. -
Are there any limitations to AI Table Assist?
Limitations may include challenges with complex or irregular table formats. More information on limitations is provided here.
Updated 3 months ago