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2. Wikipedia : Graphics Lab/Resources/PDF conversion to SVG

   en.wikipedia.org/.../Resources/PDF_conversion_to_SVG

   To convert a pdf: Convert the first page of a PDF file with pdf2svg file.pdf file.svg. To extract all pages of a multiple-page PDF use pdf2svg file.pdf output-%02d.svg all. This generates output files output-00.svg, output-01.svg, etc. where the pattern "%02d" is replaced by the respective two-digit page numbers.

3. PDF Split and Merge - Wikipedia

   en.wikipedia.org/wiki/PDF_Split_and_Merge

   Split PDF files in a number of ways: After every page, even pages or odd pages; After a given set of page numbers; Every n pages; By bookmark level; By size, where the generated files will roughly have the specified size; Rotate PDF files where multiple files can be rotated, either every page or a selected set of pages (i.e. Mb).

4. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   As with Adobe Acrobat, Nitro PDF Pro's reader is free; but unlike Adobe's free reader, Nitro's free reader allows PDF creation (via a virtual printer driver, or by specifying a filename in the reader's interface, or by drag-'n-drop of a file to Nitro PDF Reader's Windows desktop icon); Ghostscript not needed.

5. PDFtk - Wikipedia

   en.wikipedia.org/wiki/Pdftk

   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.

6. Zamzar - Wikipedia

   en.wikipedia.org/wiki/Zamzar

   Zamzar is currently free to use, but there is a limit of two conversions per hour for files up to 100MB. Users can pay a monthly subscription in order to access preferential features, such as unlimited file conversions, online file management, shorter response and queuing times and other benefits. [22]

7. Data extraction - Wikipedia

   en.wikipedia.org/wiki/Data_extraction

   Typical unstructured data sources include web pages, emails, documents, PDFs, social media, scanned text, mainframe reports, spool files, multimedia files, etc. Extracting data from these unstructured sources has grown into a considerable technical challenge, where as historically data extraction has had to deal with changes in physical hardware formats, the majority of current data extraction ...