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What the confidence score measures

Every extraction receives a confidence score between 0% and 100%. This reflects how clearly and unambiguously the extracted values appeared in the source document — not whether the values are factually correct, but how certain the AI is about what it read.

A score of 95% means the AI found clean, well-formatted text. A score of 40% might mean the document was a low-resolution scan, fields were partially obscured, or the document structure was unusual.

Score ranges and what they mean

• 80–100% (green) — High confidence. Values extracted cleanly. Suitable for automated processing without human review.
• 50–79% (amber) — Moderate confidence. Most values are likely correct but spot-checking is recommended for financial amounts or dates.
• 0–49% (red) — Low confidence. Document may be a poor-quality scan, hand-written, or in an unusual format. Human review strongly recommended.

How to improve low confidence scores

• Use higher-resolution scans (300 DPI minimum)
• Ensure good contrast between text and background — avoid shadows and glare
• Create a custom template with detailed field descriptions to guide the AI
• Make corrections to extracted fields — each correction improves future accuracy on similar documents

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