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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.
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 ...
On December 7, 2022, Canva launched Magic Write, which is the platform’s AI-powered copywriting assistant. [33] On March 22, 2023, Canva announced its new Assistant tool, which makes recommendations on graphics and styles that match the user's existing design. [34] On January 11, 2024, Canva launched its own GPT in OpenAI's GPT Store. [35]
Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...
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.
Calibre (pronounced cal-i-ber) is a cross-platform free and open-source suite of e-book software. Calibre supports organizing existing e-books into virtual libraries, displaying, editing, creating and converting e-books, as well as syncing e-books with a variety of e-readers. Editing books is supported for EPUB and AZW3 formats.
The extraction of text from page images is a difficult engineering task. Smudges on the physical books' pages, fancy fonts, old fonts, torn pages, etc. can all lead to errors in the extracted text. Imperfect OCR is only the first challenge in the ultimate goal of moving from collections of page images to extracted-text based books.
image translation, where the user can take a picture (using the; device camera) of some printed text (a road sign, a restaurant menu, a page of a book etc.), have the application send it to the translation server which will apply Optical Character Recognition (OCR) technology, extract the text, return it to the user for editing (if necessary ...
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