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  1. 30 paź 2008 · pdfid.py This tool is not a PDF parser, but it will scan a file to look for certain PDF keywords, allowing you to identify PDF documents that contain (for example) JavaScript or execute an action when opened. PDFiD will also handle name obfuscation.

    • Cobalt Strike Tools

      This is a collection of Cobalt Strike tools for blue teams....

    • Translate

      Remark that the random number generator that is used is just...

  2. 24 sty 2022 · PDF to XML / HTML / XLSX Parser Python. As described above, we can also convert a pdf file into an XML, HTML, or Excel file using the pdftables_api module. We just need to replace the CSV() method to xlsx(), xml() or HTML() method according to our preference. Let’s see an example.

  3. pypi.org › project › pyxml2pdfpyxml2pdf - PyPI

    24 lip 2022 · Convert your XML into a Pdf table. Generate a multi-page PDF file from an XML file with the contents displayed in several tables based on filter criteria.

  4. In this tutorial, you'll learn what XML parsers are available in Python and how to pick the right parsing model for your specific use case. You'll explore Python's built-in parsers as well as major third-party libraries.

  5. pypi.org › project › pyxpdfpyxpdf - PyPI

    31 sie 2020 · pyxpdf is a fast and memory efficient python module for parsing PDF documents based on xpdf reader sources. Features. Almost x20 times faster than pure python based pdf parsers (see Speed Comparison) Extract text while maintaining original document layout (best possible) Support almost all PDF encodings, CMaps and predefined CMaps.

  6. This tutorial will show you the use of PyMuPDF, MuPDF in Python, step by step. Because MuPDF supports not only PDF, but also XPS, OpenXPS, CBZ, CBR, FB2 and EPUB formats, so does PyMuPDF [1]. Nevertheless, for the sake of brevity we will only talk about PDF files.

  7. pyxpdf is a fast and memory efficient python module for parsing PDF documents based on xpdf reader sources. Features. Almost x20 times faster than pure python based pdf parsers (see Speed Comparison) Extract text while maintaining original document layout (best possible) Support almost all PDF encodings, CMaps and predefined CMaps.

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