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Image translation is the machine translation of images of printed text (posters, banners, menus, screenshots etc.). This is done by applying optical character recognition (OCR) technology to an image to extract any text contained in the image, and then have this text translated into a language of their choice, and the applying digital image processing on the original image to get the ...
Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. 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 ...
For translations from Arabic, Hindi and Persian, the user can enter a Latin transliteration of the text and the text will be transliterated to the native script for these languages as the user is typing. The text can now be read by a text-to-speech program in English, French, German and Italian. 16th stage (launched January 30, 2010) Haitian Creole
In other languages that read text right-to-left, such as Persian, Arabic and Hebrew, text is commonly aligned "flush right". Additionally, flush-right alignment is used to set off special text in English, such as attributions to authors of quotes printed in books and magazines, or text associated with an image to its right.
Use non-English vocabulary sparingly; for more information, see Wikipedia:Writing better articles § Use other languages sparingly. Certain specialist or non-English terms are not italicized, including musical terminology like minuet and adagio. As a rule of thumb, do not italicize words that appear in multiple major English dictionaries.
Handwriting recognition (HWR), also known as handwritten text recognition (HTR), is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices.