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It can save you time on manually retyping textual content from a PDF or an image file.

Once visual clues inside the document are matched with any character in the underlying character database, OCR produces machine-encoded text that users can edit in word processors.įor example, an OCR program can transform a picture of an invoice into an editable invoice. Optical character recognition scans image-based files looking for text and tries to recognize individual characters. Some systems are capable of reproducing formatted output that closely approximates the original page including images, columns, and other non-textual components.Software equipped with OCR (Optical Character Recognition) offers users the ability to work with data from scanned documents that are saved as digital file formats, especially PDF. Advanced systems capable of producing a high degree of recognition accuracy for most fonts are now common, and with support for a variety of digital image file format inputs. OCR is a field of research in pattern recognition, artificial intelligence and computer vision.Įarly versions needed to be trained with images of each character, and worked on one font at a time. Widely used as a form of data entry from printed paper data records – whether passport documents, invoices, bank statements, computerized receipts, business cards, mail, printouts of static-data, or any suitable documentation – it is a common method 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. 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, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example from a television broadcast).