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Some OCR systems can even reproduce formatted output that closely resembles the original page, including images, columns, and other non-textual components.

While early versions of OCR needed to be trained with images of each character and worked on one font at a time, advanced systems are now capable of producing highly accurate recognition for most fonts and support a variety of digital image file formats. OCR is a field of research in pattern recognition, artificial intelligence, and computer vision. Digitized text can be electronically edited, searched, stored more efficiently, and used in machine processes such as cognitive computing, machine translation, and text mining.

OCR is commonly used to digitize printed text from paper records such as passports, invoices, bank statements, business cards, and mail. Find your PDF document and open it with Scanned PDF to Word. OCR technology can convert scanned documents, photos of documents, scene-photos, or subtitles superimposed on an image into machine-encoded text. Use this scanned PDF to Word converter to extract data trapped inside an image based PDFs.

Optical character recognition (OCR) is a process that converts images of typed, handwritten, or printed text into machine-readable text.

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