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Human-in-the-Loop (HITL) enables human verification and corrections to ensure accuracy of data extracted by Document AI processors before it is used in critical business applications.
It provides a workflow and a platform for your own or a partner workforce
(humans referred to as labelers in HITL) to review, validate,
and correct the data extracted from documents by Document AI processors.
Features
Confidence threshold filters to limit the number of documents going through HITL.
Labeler pool management, including task assignments and efficiency analytics by task and by labeler.
UI cues and features that reduce labeler handling time per document.
Analytics and metrics by task and by labeler, so you can streamline HITL operations.
Benefits
Risk mitigation - mitigate financial risks of critical data being incorrect - for example, invoice amounts, billing addresses, loan amounts, etc.
Simplify Exception Handling - Easily roll out a human review and exception handling workflow.
Workforce Efficiencies - manage, monitor and improve productivity of workforce managing human review.
Cost control - control costs of human review with configurable filters.
Data completeness - ensure extracted data is complete for downstream business applications.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-25 UTC."],[[["Document AI Human-in-the-Loop (HITL) is being deprecated and will no longer be available on Google Cloud after January 16, 2025, with new customers not being allowlisted."],["HITL allows for human verification and corrections of data extracted by Document AI processors, ensuring accuracy for use in critical business applications."],["The service includes features such as confidence threshold filters, labeler pool management, UI cues for efficient labeling, and analytics for streamlined operations."],["Key benefits of using HITL include risk mitigation, simplified exception handling, workforce efficiencies, cost control, and ensuring data completeness for downstream applications."],["Google Cloud recommends working with a Google Cloud certified partner, like Devoteam, Searce, or Quantiphi, to help implement human review and corrections."]]],[]]
