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2. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [12] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [12]

3. Copyfish - Wikipedia

   en.wikipedia.org/wiki/Copyfish

   [6] [7] 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. [ 8 ] [ 9 ] The software is published under the GPL open-source license and hosted on GitHub.

4. Naver Papago - Wikipedia

   en.wikipedia.org/wiki/Naver_Papago

   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.

5. Microsoft Translator - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Translator

   Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...

6. DeepL Translator - Wikipedia

   en.wikipedia.org/wiki/DeepL_Translator

   DeepL for Windows translating from Polish to French. The translator can be used for free with a limit of 1,500 characters per translation. Microsoft Word and PowerPoint files in Office Open XML file formats (.docx and .pptx) and PDF files up to 5MB in size can also be translated.

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 ...