LexisNexis was one of the first customers, and bought the program to upload legal paper and news documents onto its nascent online databases. In 1978, Kurzweil Computer Products began selling a commercial version of the optical character recognition computer program. On January 13, 1976, the successful finished product was unveiled during a widely reported news conference headed by Kurzweil and the leaders of the National Federation of the Blind. This device required the invention of two enabling technologies – the CCD flatbed scanner and the text-to-speech synthesizer. Kurzweil decided that the best application of this technology would be to create a reading machine for the blind, which would allow blind people to have a computer read text to them out loud. and continued development of omni- font OCR, which could recognize text printed in virtually any font (Kurzweil is often credited with inventing omni-font OCR, but it was in use by companies, including CompuScan, in the late 1960s and 1970s ). In 1974, Ray Kurzweil started the company Kurzweil Computer Products, Inc. The patent was acquired by IBM.īlind and visually impaired users In 1931 he was granted USA Patent number 1,838,389 for the invention. In the late 1920s and into the 1930s Emanuel Goldberg developed what he called a "Statistical Machine" for searching microfilm archives using an optical code recognition system. Concurrently, Edmund Fournier d'Albe developed the Optophone, a handheld scanner that when moved across a printed page, produced tones that corresponded to specific letters or characters. In 1914, Emanuel Goldberg developed a machine that read characters and converted them into standard telegraph code. See also: Timeline of optical character recognitionĮarly optical character recognition may be traced to technologies involving telegraphy and creating reading devices for the blind. Some systems are capable of reproducing formatted output that closely approximates the original page including images, columns, and other non-textual components. 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). They can adopt electronic health care records such as insurance, patient’s history, ID cards, etc.Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. The health sector can upgrade its setup by relying on OCR. Moreover, it relieves them from contingencies of hard form data such as fire, forging, and theft. Banks can use OCR to retain their databases of useful but organic information of their clients by just scanning the papers. Moreover, data entered manually are prone to errors. Our picture to text converter helps you to store, link, understand and manipulate data. It means that by understanding data and manipulating it for our use we can open new horizons. In this age, we say that data is the new oil. Moreover, it can optimize your machinery by indexing necessary information and retrieving it whenever you want. With the use of online OCR, you can streamline all your administrative work. Particularly, manual paperwork for generating databases is very time-consuming and expensive. Automated enterprises are leading the business world now. Usual paperwork has become an antique thing in business handling. Why use our image to text tool? Business automation:
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