OCR lets you recognize and extract text from images, so that it can be further processed/stored. OCR – Optical Character Recognition – is a useful machine vision capability. How much does it cost to use an OCR API?.What are some well known OCR APIs available as a web service?.The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is used to store the user consent for the cookies in the category "Other. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. OCR technology has proven immensely useful in digitizing historic newspapers and texts that have now been converted into fully searchable formats and has made accessing those earlier texts easier and faster. Data entry for business documents ( bank statements, invoices, receipts).Making electronic documents searchable like Google Books or PDFs.Converting handwritten notes to machine-readable text.Extracting contact information from documents or business cards.Less known, but as important, use cases for OCR technology include: OCR is often used as a “hidden” technology, powering many well-known systems and services in our daily life. Not only was this massively time-consuming, but it also came with inaccuracy and typing errors. Once a scanned paper document goes through OCR processing, the text of the document can be edited with word processors like:īefore OCR technology was available, the only option to digitize printed paper documents was manually re-typing the text. The most well-known use case for OCR is converting printed paper documents into machine-readable text documents. The API returns the extracted text to the device application for further processing. Devices without OCR capabilities use an OCR API to extract the text from the image file captured and provided by the device. Eventually, the company spun off as Scansoft and later merged with Nuance Communications.įast forward to the 2000s, OCR was made available online as a service, in a cloud environment, and mobile applications (think online foreign-language translations).ĭue to the invention of smartphones and smartglasses, OCR can be used for various applications that extract text captured using the device’s camera. Riding on the winds of success, Kurzweil sold his company to Xerox. One of its first customers, LexisNexis, bought the program to upload legal paper and news documents for its online databases. In 1978, Kurzweil Computer Products released a commercial version of the OCR computer program. Kurzweil unveiled the finished product on January 13, 1976, during a news conference. The device required two enabling technologies: the CCD flatbed scanner and the text-to-speech synthesizer. Kurzweil believed the best application for OCR technology was for the blind–a computer to read text aloud. Though Omni-font OCR is often credited to Kurzweil, companies used it long before. in 1974, further developing Omni-font OCR, a technology that could recognize text printed in most fonts. Ray Kurzweil founded Kurzweil Computer Products Inc. He called it his “Statistical Machine.” In 1931, he patented this invention which IBM later acquired. Throughout the late 1920s into the early 1930s, Goldberg developed a machine for searching microfilm archives using optical code recognition. Like Goldberg’s invention, this was a handheld scanner that produced tones corresponding to specific letters or characters as it moved across a page. It read characters and converted them into standard telegraphic code.Īround the same time, Edmund Fournier d’Albe invented the Optophone. The earliest use of optical character recognition can be traced back to telegraphy technology and reading devices for the blind.Įmanuel Goldberg invented the OCR-like machine. The History of OCR Technology From the Brain of Emanuel Goldberg
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