How to Overcome the Limits of Traditional OCR Data Capture

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While optical character recognition (OCR) saves time and reduces data entry, those who use typical, traditional OCR often know that the results are not highly accurate. With unreliable data being pulled from scanned images, there is still a lot of manual intervention required.

However, the Grooper platform overcomes those problems to save a huge amount of money, due to drastically reducing time and labor costs.

This white paper covers:

A brief history of OCR and how it works
Why legacy or traditional OCR methods fail to capture significant amounts of document data
The exclusive OCR tools Grooper uses to hone in on problem areas and get a great read

Benefit from our wealth of OCR knowledge!

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