What does the OCR Confidence score represent?

Prepare for the UiPath Specialized AI Professional Test. Study with flashcards and multiple choice questions, each question has hints and explanations to ensure a deep understanding of AI in automation.

The OCR Confidence score signifies the estimated ability to recognize characters within an image or document. This score is a metric derived from Optical Character Recognition (OCR) systems, indicating how confidently the system believes it has identified characters correctly. A high confidence score suggests that the OCR system has a high level of certainty in the accuracy of the recognized text, while a lower score indicates potential errors or misinterpretations in character recognition.

This score is crucial when processing documents because it helps users determine which parts of the recognized text can be trusted. If the confidence score falls below a certain threshold, additional verification steps may be required to ensure accuracy, underscoring the score’s role in assessing recognition performance.

The other options may relate to various aspects of document processing but do not capture the specific focus of the OCR Confidence score on character recognition capability. For instance, while document classification accuracy and extractor reliability are important, they pertain to different aspects of processing compared to the specific evaluation of character recognition quality indicated by the confidence score.

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