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  • Common Challenges in OCR and How to Overcome Them
    OCR struggles to recognize text from blurry, low-resolution, or poorly scanned images This often leads to errors or incomplete text extraction Solution: Use High-Resolution Scans: Always scan documents at 300 DPI or higher to ensure clarity Preprocess Images: Tools like Photoshop or built-in OCR features can enhance brightness, contrast, and
  • OCR seems very poor - Adobe Support Community
    But since the photocopying is blurry, there's not much you can do with scanning at a higher resolution, the document is already starting from a bad place If you can find software that can do a better job than this, by all means, use it
  • The 6 Biggest OCR Problems and How to Overcome Them
    Blurry or low-resolution images can result in misinterpreted or unreadable text, significantly reducing OCR accuracy This may be due to the quality of the scan or because of handwritten text The best way to overcome this challenge is to improve the quality of the source documents
  • OCR Tools — My Latest Study: Solving Real-World . . . - Medium
    In the fast-paced world of IT, Optical Character Recognition (OCR) has become an indispensable tool for extracting text from images But what happens when those images are low-quality, blurry,
  • 9 Biggest OCR Limitations and How to Overcome Them
    One significant limitation of OCR technology is its sensitivity to the quality of images or scans When the input material is of poor quality, which might include low resolution, bad lighting, or low contrast, the OCR’s ability to accurately recognize text is greatly diminished
  • OCR not recognizing text? Here’s what to do | Adobe Acrobat
    If your OCR software is not recognizing text you have scanned, double-check to ensure the image is clear, light, and straight Make adjustments as needed and rescan your documents In most cases, this will fix the issue
  • The Biggest Problem With OCR API And How You Can Fix It?
    Blurry Texts – Blurriness makes it difficult to create an accurate textual interpretation Skewed or Non-Oriented Documents – If the image is tilted, OCR software will find it challenging to identify the characters since they’re not aligned





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