document extraction low confidence fields

“Low confidence fields” in document extraction are the extracted values whose model confidence falls below a chosen threshold, meaning the system is less certain that the text is correct.

What this usually means

• High confidence: likely correct, can often be auto-accepted.
• Low confidence: may be wrong, incomplete, or misread; usually needs review.
• Confidence score: a numeric value (often 0–1 or 0–100) produced by OCR / extraction models.

Common causes

• Blurry or skewed scans
• Handwritten or poor-quality text
• Unusual layouts or tables
• Missing labels / ambiguous fields
• OCR errors
• Multiple possible values on the page

Typical handling

• Send low-confidence fields to human review
• Use thresholds to route records:
  • above threshold → auto-process
  • below threshold → manual validation
• Combine with business rules:
  • e.g., invoice total must match line items
• Improve extraction with:
  • better scan quality
  • template tuning
  • field validation rules
  • retraining/custom models

Example

If a document extractor reads:

• Invoice Number: A12345 confidence 0.98
• Total Amount: $1,280.00 confidence 0.62
• Date: 10/0B/2026 confidence 0.41

Then “Total Amount” and “Date” would be considered low confidence, and likely flagged for review.

If you want, I can also help with:

1. how to detect low-confidence fields in code,
2. how to set confidence thresholds, or
3. how to explain this in a product/spec document.