Top 3 Misconceptions About Optical Character Recognition (OCR)
Optical Character Recognition (OCR) is “is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo … or from subtitle text superimposed on an image …”.
OCR Is 100% Accurate
This is probably the most common misconception. Even under ideal conditions where the paper documents are typewritten with flawless form data; there still could be errors during the process. It is almost mandatory to have a manual review step after OCR processing to verify the results and correct any mistakes. Also, many times it is not necessary to OCR the entire document. Many times simply capturing an ID number or a few key pieces of information can be sufficient to “tag” the document.
OCR Is Hardware
OCR is actually software. Many times hardware is required, but the OCR process is actually software. The most common hardware used with OCR is a scanner or multi-function device. Physical paper needs to be converted into an electronic file in order for OCR software to do its job. And higher-quality hardware can give you better OCR results. But the process of OCR’ing a document is performed by software.
OCR Is Cheap
This doesn’t mean that adding an OCR solution to your business processes has to be expensive. It is important to verify that the benefits of implementing an OCR element to a solution provide solid value to the business process. Implementing an OCR processes does require an investment, but can be well worth the effort.
OCR is just a part of an overall document management solution, but can play an important role.
Author: Adrian Enders – Senior Solutions Architect
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