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How Grooper Overcomes the Limits of OCR Data Extraction

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While optical character recognition (OCR) saves time and reduces data entry, those who use typical 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 time and labor.

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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