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2. Image translation - Wikipedia

   en.wikipedia.org/wiki/Image_translation

   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 ...

3. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   Image Translation: a function that identifies text in a picture taken by the users and translates text on the screen instantly by images. [ 29 ] Handwritten Translation: a function that translates language that are handwritten on the phone screen or drawn on a virtual keyboard without the support of a keyboard.

4. Naver Papago - Wikipedia

   en.wikipedia.org/wiki/Naver_Papago

   Image Translation: The portion of a photo in a gallery or the characters in a newly photographed picture is specified and translated into text. It is available in six languages: Korean , English , Japanese , Chinese , Vietnamese , and Thai .

5. Optical character recognition - Wikipedia

   en.wikipedia.org/wiki/Optical_character_recognition

   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 ...

6. Copyfish - Wikipedia

   en.wikipedia.org/wiki/Copyfish

   After a user marks the text in an image, Copyfish extracts it from a website, video or PDF document. [3] [4] Copyfish was first published in October 2015. [5] [6] Copyfish is not only used in Western countries but despite being available only with an English user interface, is used by many Chinese and Hindi-speaking Chrome users.

7. Yandex Translate - Wikipedia

   en.wikipedia.org/wiki/Yandex_Translate

   Previously, machine translation was based on "the meaning of the text" model: take any language, translate the words in the universal language of the senses, and then translate these meanings in the words of another language – and obtain the translated text. This model prevailed in the 1970s-1980s and automated in the 1990s.