Complete Guide to OCR Document Conversion
Optical Character Recognition (OCR) is a technology that extracts text from images or scanned documents and converts it into an editable and searchable digital format. It enables digitization of paper-based information, making it accessible for modern workflows and analysis.
How Does OCR Work?
OCR involves several stages: first, an image is acquired, then preprocessed for clarity. Text detection and recognition follow, using algorithms to identify characters. Post-processing steps like spell-checking are applied, and the recognized text is exported into formats such as Word, PDF, or Excel.
Key Applications of OCR Technology
OCR is widely used in sectors like legal, healthcare, education, banking, government, and retail. It helps with digitizing documents for easy access, managing patient records, improving financial transactions, and enhancing inventory management.
Common Documents Converted by OCR
OCR is used to convert scanned PDFs, invoices, business cards, handwritten notes, identity documents, and blueprints, making them editable and searchable for better data management and storage.
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