1. A method comprising: for each known text sample of a plurality of known text samples, each known text sample having a text type, generating, by a processor, an image of the known text sample; for each optical character recognition (OCR) engine of a plurality of OCR engines, inputting the image of the known text sample, by the processor, into the OCR engine; receiving output text corresponding to the image of the known text sample, by the processor, from the OCR engine; and, comparing the output text received from the OCR engine with the known text sample, by the processor, to determine a confidence value of the OCR engine for the text type of the known text sample, wherein for each OCR engine of one or more of the OCR engines, periodically redetermining the confidence values of the OCR engine.
1. A method comprising: for each known text sample of a plurality of known text samples, each known text sample having a text type, generating, by a processor, an image of the known text sample; for each optical character recognition (OCR) engine of a plurality of OCR engines, inputting the image of the known text sample, by the processor, into the OCR engine; receiving output text corresponding to the image of the known text sample, by the processor, from the OCR engine; and, comparing the output text received from the OCR engine with the known text sample, by the processor, to determine a confidence value of the OCR engine for the text type of the known text sample, wherein for each OCR engine of one or more of the OCR engines, periodically redetermining the confidence values of the OCR engine. 3. The method of claim 1 , wherein the confidence values of each OCR engine of the one or more of the OCR engines is redetermined responsive to an additional known text sample being added to the plurality of known text samples.