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
Questions fréquentes
Un score de 100% garantit-il que les données sont correctes ?
Une haute confiance signifie que l'IA a clairement identifié les valeurs, mais ne vérifie pas l'exactitude factuelle. Validez toujours les données financières critiques.
Pourquoi le même document obtient-il un score différent à chaque fois ?
Les modèles IA ont de petites variations non déterministes. Vous pouvez voir ±5% de différence — c'est normal.
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