pdf2docx: Python Library for Converting PDF Files to DOCX with Features, Limitations, Installation, and Example
The pdf2docx library uses PyMuPDF and python-docx to extract PDF layouts, paragraphs, images, and tables, offering multi‑process conversion while noting current limitations such as lack of OCR and support for only left‑to‑right languages, and provides simple pip installation and a code example.
pdf2docx is a Python library that converts PDF files to DOCX by extracting page layout, margins, columns, headers/footers, paragraphs, text styles, images, and tables using the PyMuPDF and python-docx packages.
Features include parsing and creating page layouts, paragraph formatting (fonts, colors, highlights, underlines, alignment), image handling (inline, grayscale/RGB/CMYK, transparent, floating), table processing (borders, background colors, merged cells, nested tables), and support for multi‑process conversion.
The library also extracts table content and styles, making it useful as a table extraction tool.
Limitations are that it currently does not support OCR for scanned PDFs, only left‑to‑right languages (no Arabic), cannot handle rotated text, and rule‑based parsing cannot guarantee 100% fidelity to the original PDF style.
Installation :
<code>pip install pdf2docx</code>Example usage :
<code>from pdf2docx import parse
pdf_file = '/path/to/sample.pdf'
docx_file = 'path/to/sample.docx'
# convert pdf to docx
parse(pdf_file, docx_file)</code>Running the above script converts the specified PDF into a DOCX file preserving the extracted layout and content.
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