OCR technology is the way of digitizing printed texts so that they can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such as cognitive computing, machine translation, (extracted) text-to-speech, key data and text mining.

This technology is suitable for photos of text-heavy documents and printed paper data records such as passports, invoices, bank statements, receipts, business cards, and identity verification documents. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text. OCR technology comes to rescue in this situation. It can take hours to manually pull out this data and assemble it in a structured way for record-keeping and processing. The real challenge for the operation team is to be able to extract information and data from these photos. These images can be a photo of a document, scanned document, a scene-photo, or subtitle text superimposed on an image.

Organizations often receive crucial information and data in image form of documents.

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