AI Expense article01 Sept 2026 10:10 AM AEST

OCR Confidence: How to Use It During Review

Treat confidence as a prioritization signal rather than a guarantee that an extracted field is correct.

Published by the AI Expense Editorial Team. AI Expense is developed and published by EmuInbox.

Treat confidence as a prioritization signal rather than a guarantee that an extracted field is correct.

Operating checklist: OCR Confidence: How to Use It During Review

This checklist is for reviewers working with mixed-quality documents. Its narrow purpose is to direct attention to likely errors without skipping human checks; it is not a generic month-end list.

Use low confidence to prioritize visual comparison. Confirm that critical fields are always checked. If you find using one threshold as automatic truth, leave the record in review and assign a next action.
Confirm that confidence supports rather than replaces review. If you find ignoring confident but misaligned fields, leave the record in review and assign a next action.

Item to retain	Reason
Original document	It remains the reference for extracted and corrected fields.
Review status	It separates capture, recognition, human review and completion.
Exception note	It explains why a field or source could not be confirmed.
Export reference	It connects any spreadsheet or package back to the evidence.

OCR Confidence: How to Use It During Review

Operating checklist: OCR Confidence: How to Use It During Review

Article-specific walkthrough: OCR Confidence: How to Use It During Review

Completion record

What not to standardize away

Retrieval and handoff test for this topic

Apply the checklist