What does Field Confidence indicate in the document extraction process?

Field Confidence is a metric that provides insight into the reliability of the value output by an extractor activity for a specific field during the document extraction process. This score is usually represented as a percentage and helps assess how confident the extraction model is in the accuracy of the value it has extracted from the document.

When a model processes a document, it analyzes various factors, including the quality of the input data and the consistency of the extraction patterns. A higher Field Confidence score indicates a more reliable extraction, meaning that there's a greater likelihood that the extracted value is correct. This allows users to make informed decisions based on the quality of data being processed.

In contrast, the other options focus on aspects that are not directly aligned with the concept of Field Confidence. For example, while accuracy scores for OCR engines measure text recognition quality, they do not pertain specifically to the extractor's output. User satisfaction is subjective and does not quantify the accuracy of data extraction, and reliability of the entire document processing encompasses more than just individual field confidence, as it may consider overall performance and error rates across the entire document.