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2. Copyfish - Wikipedia

   en.wikipedia.org/wiki/Copyfish

   Copyfish is a browser extension software for Google Chrome and Firefox that allows users to copy and paste or copy and translate text from within images. "Images ...

3. Google Lens - Wikipedia

   en.wikipedia.org/wiki/Google_Lens

   Google Lens is an image recognition technology developed by Google, designed to bring up relevant information related to objects it identifies using visual analysis based on a neural network. [2] First announced during Google I/O 2017, [ 3 ] it was first provided as a standalone app, later being integrated into Google Camera but was reportedly ...

4. Google Translator Toolkit - Wikipedia

   en.wikipedia.org/wiki/Google_Translator_Toolkit

   The toolkit was designed to let translators organize their work and use shared translations, glossaries and translation memories, and was compatible with Microsoft Word, HTML, and other formats. Google Translator Toolkit by default used Google Translate to automatically pre-translate uploaded documents which translators could then improve.

5. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]

6. Word Lens - Wikipedia

   en.wikipedia.org/wiki/Word_Lens

   Word Lens was an augmented reality translation application from Quest Visual. [1] Word Lens used the built-in cameras on smartphones and similar devices to quickly scan and identify foreign text (such as that found in a sign or a menu), and then translated and displayed the words in another language on the device's display.

7. 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 ...