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2. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   Full feature PDF editor. Poppler-utils: GNU GPL: Yes Yes Unix Yes Converts PDF to other file format (text, images, html). pstoedit: GNU GPL: Yes Yes Unix Yes Converts PostScript to (other) vector graphics file format. QPDF: Apache License 2.0: Yes Yes Yes Structural, content-preserving transformations from PDF to PDF. Scribus: GNU GPL: Yes Yes Yes

3. Wikipedia:Tools/Editing tools - Wikipedia

   en.wikipedia.org/wiki/Wikipedia:Tools/Editing_tools

   A very simple Copy & Paste Excel-to-Wiki Converter; A free open source tool to convert from CSV and Excel files to wiki table format: csv2other; Spreadsheet-to-MediaWiki-table-Converter This class constructs a MediaWiki-format table from an Excel/GoogleDoc copy & paste. It provides a variety of methods to modify the style.

4. Readdle - Wikipedia

   en.wikipedia.org/wiki/Readdle

   PDF Expert is a PDF editing app for iPhone, iPad and Mac. [13] [14] The app allows a user to read, annotate and edit PDFs, change text and images, fill in forms and sign contracts. [15] PDF Expert was initially launched for iOS in 2010 for the first iPad and is now supported on the iPad, iPhone, and Mac. [16]

5. Poppler (software) - Wikipedia

   en.wikipedia.org/wiki/Poppler_(software)

   Poppler is a free and open-source software library for rendering Portable Document Format (PDF) documents. Its development is supported by freedesktop.org . Commonly used on Linux systems, [ 4 ] it powers the PDF viewers of the GNOME and KDE desktop environments .

6. TextMate - Wikipedia

   en.wikipedia.org/wiki/TextMate

   TextMate supports user-defined and user-editable commands that are interpreted by bash or the interpreter specified with a shebang.Commands can be sent many kinds of input by TextMate (the current document, selected text, the current word, etc.) in addition to environment variables and their output can be similarly be handled by TextMate in a variety of ways.

7. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.