pdfwordify 0.0.1

Tool for extracting text and tables from PDF files and saving this data in docx format

pdfwordify

pdfwordify is a tool for extracting text and tables from PDF files and saving this data in docx(Word) format. This project is designed to automate the process of transferring information from PDF to formats that are easier to edit and process.

Features

• Text extraction from PDF.
• Extract text from scanned pages to PDF.
• Extract tables from PDF.
• Save extracted information to a Word file.

How to use

• Install Python 3.10 or newer.

• Install Google tesseract OCR

• Install the library using pip:

  pip install pdfwordify
  

• Use the command-line interface to convert from PDF to docx.

  pdfwordify example.pdf
  

• Or use it with Python.

  from pdfwordify.converter import convert_to_docx
  
  convert_to_docx("example.pdf")
  

Arguments

This section will provide arguments for using the converter. They are suitable for use within the command line as well as for use within Python.

• pdf_path:

  • Description: The path to the input PDF file to be converted.
  • Required: Yes
  • Example:
    • In terminal: pdfwordify dir/example.pdf.
    • In code: convert_to_docx("dir/example.pdf").

• output_dir:

  • Description: The path for the docx file. Can be either a folder path, a named path, or a full path specifying the file(docx) extension.
  • Required: No
  • Default: PDF file directory is used
  • Example:
    • In terminal: pdfwordify dir/example.pdf /output/path/.
    • In code: convert_to_docx("dir/example.pdf", "/output/path/")

• method:

  • Description: Method for extracting tables from a file.
  • Required: No
  • Default: lattice
  • Types:

    • lattice for tables that have distinct boundaries.

      

    • stream for tables that have clear borders.

      

    • None if there are no tables in the document.

  • Example:
    • In terminal: pdfwordify --method stream dir/example.pdf.
    • In code: convert_to_docx("example.pdf", method=None).

• lang:

  • Description: Language for extracting text from images within a document using Google Tesseract OCR.
  • Required: No
  • Default: eng
  • Note: It is possible to combine languages. For example: rus+eng
  • Example:
    • In terminal: pdfwordify --lang rus+eng dir/example.pdf.
    • In code: convert_to_docx("example.pdf", lang="rus+eng").

Settings

To further customize the settings, edit the config.py file.