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  2. Noori Nastaleeq - Wikipedia

    en.wikipedia.org/wiki/Noori_Nastaleeq

    It was first created as a digital font in 1981 as the collaboration between Ahmed Mirza Jamil and Monotype Imaging. [2] In 1982, the Government of Pakistan named the nastaleeq as an "Invention of National Importance". [2] Daily Jang is a user of the nastaleeq. [3]

  3. Nastaliq - Wikipedia

    en.wikipedia.org/wiki/Nastaliq

    Text: نستعلیق in the font "Urdu Typesetting". Windows 8 was the first version of Microsoft Windows to have native Nastaliq support, through Microsoft's "Urdu Typesetting" font. [29] Text: نستعلیق in the font "Noto Nastaliq". Google has an open-source Nastaliq font called Noto Nastaliq Urdu. [30]

  4. Amar Nastaleeq - Wikipedia

    en.wikipedia.org/wiki/Amar_Nastaleeq

    Amar Nastaleeq (Urdu: امر نستعلیق) is a Nastaliq style Embedded OpenType and TrueType Font which was lowest in size, created for web embedding on Urdu websites in 2013. The font was announced by Urdu poet Fahmida Riaz. [1] Jang Group of Newspapers has rendered this font from the developers. [citation needed]

  5. Urdu alphabet - Wikipedia

    en.wikipedia.org/wiki/Urdu_alphabet

    The Urdu alphabet (Urdu: اُردُو حُرُوفِ تَہَجِّی‌, romanized: urdū ḥurūf-i tahajjī) is the right-to-left alphabet used for writing Urdu. It is a modification of the Persian alphabet , which itself is derived from the Arabic script .

  6. File:Urdu-alphabet-en-hi-final.svg - Wikipedia

    en.wikipedia.org/wiki/File:Urdu-alphabet-en-hi...

    - Enlarged Urdu letters. - Fixed missing Nuqtas in Devanagari transliteration. 23:40, 10 November 2012: 8,769 × 6,200 (162 KB) Siddhantss10 - Used font Jameel Noori Nastaleeq, which even more justifies the Nastaliq style. - Added letter Noon Ghunna. - Named the numerals as pronounced in Urdu. - Followed ISO:15919 convention for Romanization.

  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 ...

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