Mellel 5.1.3 – The word processor for scholars, writers, and long document writing

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Mellel is the leading word processor for OS X and has been widely considered the industry standard since its inception. Mellel focuses on writers and scholars for technical writing and multilingual word processing. It offers special tools to help you write and organize long documents easily. If you need multilingual support or are writing bi-directional text, Mellel is just the thing for you: Arabic, Persian, Hebrew, and Syriac never looked better on a Mac. Even if you don’t need all the bells and whistles, Mellel is still the right choice for you: clean, stable, and easy to use.

 

WHAT’S NEW

Version 5.1.3:

  • Spelling: Many improvements and bug fixes to spelling, auto-detection of language is now working much better.
  • Auto-titles: Fixed an issue that disabled editing TOC formats properly for certain documents.
  • Tables: Fixed a bug that caused Mellel to crash when adding columns to a table while editing a cell in some circumstances.
  • Track Changes: Fixed a bug that caused Mellel to crash sometimes when accessing the track changes submenu while a floating image or text box is selected.
  • Outline: Fixed an issue that caused Mellel to crash when drawing certain outline items under certain rare circumstances.
  • RTF Import: Fixed a bug that caused Mellel to fail to open certain RTF files originating from Nisus.
  • RTF Import Fixed an issue that caused Mellel to fail to open some RTF files containing bin elements.
  • RTF Import Fixed an issue that caused RTF files created in Zotero to be interpreted using the wrong encoding leading to gibberish Japanese text.
  • RTF Export: Fixed an issue that caused a note symbol to pick up character attributes such as italic and bold from the first letter in a footnote/endnote text when exporting to RTF.
  • Bibliography: Improved support for special characters and dashes in citation RTF parser.

 

REQUIREMENTS

  • Intel, 64-bit processor
  • OS X 10.9 or later

ScreenShots :

 

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Size – 118MB