There is no doubt that imaging technologies such as forms recognition and optical character recognition (OCR) have revolutionized the way companies do business, and have freed up countless man-hours from the tedious and error-prone task of data entry. However, these technologies still rely on the assumption that the data will be located in the same place on every document. Unstructured forms and scanned documents such as invoices, bills and tabs are notoriously difficult, if not impossible, to process on a large scale within an automated system.
While minor differences in documents, like resolution or skew angle, can be corrected algorithmically, structural variations in field placement or table size cannot. This type of unstructured information is trapped in paper and electronic documents. In many instances, the only way to capture and catalog that data is through manual data entry.
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