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Merge PDF files selecting entire documents or subsections of them. It provides a number of settings to let the user decide what to do in case the original PDF files contain Acro Forms (Acrobat forms) or an outline ( bookmarks ) and it can generate a table of contents , normalize pages size and page margins and add blank pages.
Library to create and manipulate PDF, RTF, HTML files in Java, C#, and other .NET languages. JasperReports: GNU LGPL: Open-source Java reporting tool that can write to screen, printer, or into PDF, HTML, Microsoft Excel, RTF, ODT, comma-separated values and XML files. libHaru: ZLIB/LIBPNG: Open-source, cross-platform C library to generate PDF ...
PDF Studio is a commercial desktop application from Qoppa Software to create, convert, review, annotate, and edit Portable Document Format (PDF) documents. System requirements [ edit ]
Universal Document Converter is a virtual printer and PDF creator for Microsoft Windows developed by fCoder Group. It can create PDF documents (as raster images or searchable text) and files in graphic formats JPEG, TIFF, PNG, GIF, PCX, DCX and BMP. [3] It can create graphic or PDF files from any document that can be printed.
PDFtk (short for PDF Toolkit) is a toolkit for manipulating Portable Document Format (PDF) documents. [3] [4] It runs on Linux, Windows and macOS. [5] It comes in three versions: PDFtk Server (open-source command-line tool), PDFtk Free and PDFtk Pro (proprietary paid). [2] It is able to concatenate, shuffle, split and rotate PDF files.
Sumatra PDF is a free and open-source document viewer that supports many document formats including: Portable Document Format (PDF), Microsoft Compiled HTML Help (CHM), DjVu, EPUB, FictionBook (FB2), MOBI, PRC, Open XML Paper Specification (OpenXPS, OXPS, XPS), and Comic Book Archive file (CB7, CBR, CBT, CBZ). [3]
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.
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.