Great question. The 93% refers to field-level accuracy on a labeled test set; a field is counted as correct only if it matches the ground truth (with basic norm

Great question. The 93% refers to field-level accuracy on a labeled test set; a field is counted as correct only if it matches the ground truth (with basic normalization for dates/currency, etc). It’s not document-level accuracy. We don’t use raw LLM probabilities for confidence. The score is based on additional validation checks (cross-field consistency, format rules, reconciliation). Each field is returned with its confidence and any validation flags so errors are visible and reviewable.