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 AI accelerator platform overcomes those problems to save a huge amount of money, due to drastically reducing time and labor costs.
This white paper covers:
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