OCR (Optical Character Recognition) is often underestimated today.
Many assume that AI tools have already solved text extraction problems completely, but real-world usage tells a different story.
In practice, images often include:
noise and blur
complex layouts
mixed languages
inconsistent formatting
Traditional OCR tools struggle in these cases.
Modern AI-based OCR improves accuracy by analyzing context and structure, making it more reliable for everyday workflows.
Common use cases include:
extracting text from screenshots
converting scanned documents
processing PDFs
saving notes from images
Top comments (0)