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Remember, OCR (Optical Character Recognition) software may not accurately recognize complex layouts or unusual fonts during scanning. So proofread your document to catch any errors or inaccuracies.
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Check the quality of the document being scanned.
02
Make sure the text is clear and legible.
03
Use OCR software with advanced features for better text recognition.
04
Manually correct any errors in the recognized text.

Who needs ocr not recognizing text?

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Individuals or organizations digitizing documents with poor text quality.
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Professionals who need to extract text from images or scanned documents for further processing.
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OCR not recognizing text refers to situations where Optical Character Recognition technology fails to accurately identify and digitize written or printed text, leading to errors or omissions in the captured data.
Individuals or organizations that utilize OCR technology and face issues with text recognition may be required to file reports or documentation detailing the errors and their implications, depending on specific regulations or guidelines in their industry.
Filling out 'OCR not recognizing text' documentation typically involves providing details on the errors encountered, the specific instances of recognition failure, and any remedial actions taken to correct the discrepancies.
The purpose of documenting OCR not recognizing text is to ensure that users can identify and rectify errors in data capture, improve the accuracy of OCR systems, and maintain the integrity of the data being processed.
Information that must be reported includes the nature of the text that was not recognized, the frequency of errors, specific examples, and any corrective measures taken to improve recognition accuracy.
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