While excels at formatting and OCR, other libraries may be better suited for different tasks:
With a package size of only about 6.8 kB, it adds minimal overhead to your project environment. Considerations
# Stage 4: BiDi reordering if RTL if script_is_rtl(lang): block.text = bidi_reshape(block.text) multilingual-pdf2text
At first glance, a PDF looks simple: "What you see is what you get." However, internally, a PDF is a collection of instructions about where to place glyphs on a page. It does not store "sentences" or "paragraphs" in the way a .txt or .docx file does.
The software must reorder the extracted text stream. For example, the visual PDF string [Hello][ ][World][ ][مرحبا] must be extracted as مرحبا Hello World (where Arabic appears on the right). Without this, sentiment analysis and search indexing fail. While excels at formatting and OCR, other libraries
The ability to extract text from multilingual PDFs is essential for several modern high-stakes workflows:
The tool should not require you to manually select "French" for page 1 and "Greek" for page 3. It must analyze glyph distributions and Unicode blocks to auto-detect the script (Latin, Cyrillic, Han, Arabic, etc.) on a per-line or per-page basis. The software must reorder the extracted text stream
For developers working on Natural Language Processing (NLP) or data extraction pipelines, multilingual-pdf2text provides a streamlined, open-source solution for converting PDF content into machine-readable text without the "wall of text" effect common in basic libraries. It is particularly effective for multi-language documents where character recognition across different scripts is critical. Key Strengths