Quality control

You have the following quality-control options for your extracted document data:

		notes
Custom validation logic	Validating extractions	Throw extraction errors and warnings based on your custom rules. For example, use a regex expression to throw a`zip code is invalid` error for a field `customer_zip_code`.
Monitor in real time	Monitoring extraction metrics	Real-time dashboard in the Sensible app. Track your document extraction metrics in one place, in real time. Aggregate performance summaries, monitor configuration success, track usage at the document type level, and view historic performance data for all production deployments.
Manual review and correction	Human review	Set criteria based on metrics and validations for flagging extractions for review. A reviewer can then use the Sensible app to manually correct errors in flagged extractions and approve or reject extractions.