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  2. PDF Split and Merge - Wikipedia

    en.wikipedia.org/wiki/PDF_Split_and_Merge

    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 and it can generate a table of contents, normalize pages size and page margins and add blank pages. Split PDF files in a number of ...

  3. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    deskUNPDF: PDF converter to convert PDFs to Word (.doc, docx), Excel (.xls), (.csv), (.txt), more; GSview: File:Convert menu item converts any sequence of PDF pages to a sequence of images in many formats from bit to tiffpack with resolutions from 72 to 204 × 98 (open source software) Google Chrome: convert HTML to PDF using Print > Save as PDF.

  4. 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.

  5. File:Ilovepdf.svg - Wikipedia

    en.wikipedia.org/wiki/File:Ilovepdf.svg

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  6. Table extraction - Wikipedia

    en.wikipedia.org/wiki/Table_extraction

    In a comparison published in 2017, the researchers found the proprietary program ABBYY FineReader to yield the best PDF table extraction performance among six different tools evaluated. [7] In a 2023 benchmark evaluation, [ 8 ] Adobe Extract, [ 9 ] a cloud-based API that employs Adobe’s Sensei AI -platform, [ 10 ] performed best among five ...

  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 ...