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  2. Google Lens - Wikipedia

    en.wikipedia.org/wiki/Google_Lens

    Lens can also use images to identify text and can find results from Google Search or translate the text with Google Translate in augmented reality. [9] Lens is also integrated with the Google Photos and Google Assistant apps. [5] The service originally launched as Google Goggles, a previous app that functioned similarly but with less capability.

  3. Naver Papago - Wikipedia

    en.wikipedia.org/wiki/Naver_Papago

    Naver Corporation. URL. papago.naver.com. Current status. Active. Naver Papago (Korean: 네이버 파파고), shortened to Papago and stylized as papago, is a multilingual machine translation cloud service provided by Naver Corporation. The name "Papago" comes from the Esperanto word for "parrot", Esperanto being a constructed language [1].

  4. 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 ...

  5. Copyfish - Wikipedia

    en.wikipedia.org/wiki/Copyfish

    Download QR code; Wikidata item; Print/export ... and Firefox that allows users to copy and paste or copy and translate text from within images. "Images" come in all ...

  6. Flitto - Wikipedia

    en.wikipedia.org/wiki/Flitto

    Website. www.flitto.com. Flitto Launcher Icon. Flitto (Korean: 플리토) is a crowdsourcing translation platform where users can request or provide translations. Users are also able to read various online content in their native languages. The service supports text, image, and voice translations, and 1:1 translation in 25 different languages.

  7. QR code - Wikipedia

    en.wikipedia.org/wiki/QR_Code

    The QR code system was invented in 1994, at the Denso Wave automotive products company, in Japan. [5] [6] [7] The initial alternating-square design presented by the team of researchers, headed by Masahiro Hara, was influenced by the black counters and the white counters played on a Go board; [8] the pattern of position detection was found and determined by applying the least-used ratio (1:1:3 ...

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