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1. Subject of this article. 2. Python source analysis. 3. The full source code in Python. 1. Subject of this article. The goal is to generate a simple program to collect the text contained in various PDFs generated directly from word processing programs and insert the various fragments into a single document in Markdown language by separating the fragments with second-level headings corresponding to the name of the source documents.

Abstract: Compression of PDF documents is a useful technique to reduce the space occupied by these files and facilitate their transmission and storage. In this article, starting from a page devoted to compressing single PDFs, I present two methods for compressing multiple PDF documents.

Vim is an editor with endless capabilities. It can also generate hyperlinks in LaTeX language to other locally stored documents, thanks to its built-in Regular Expressions. For lawyers, this means linking a legal document with its related evidentiary materials.

Table of Contents Introduction. The installation of components. OCR of PDF documents with “tesseract”: description of steps. The single steps. Everything in one command! And now: Vim with RegEx. In Conclusion.

Table of Contents Subject of this article pdf2svg pdftocairo Inkscape In summary Subject of this article Recently I needed to convert some documents from PDF format, containing text generated by LaTeX in GNU/Linux operating systems, into vector images.