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This article introduces the pdf2docx Python library for converting PDF files to DOCX, detailing its capabilities such as layout, paragraph, image, and table parsing, outlining current limitations, providing installation instructions, and showing a concise code example for practical use.
The pdf2docx Python library converts PDF files to DOCX by extracting layout, text, images, and tables, offering detailed features, known limitations, simple pip installation, and a concise code example for quick usage.
Baidu Wenku converts all document types to PDF, parses the PDF into a proprietary format, uses absolute‑position layout for PC rendering, and transforms this into flow‑type structural data for mobile devices by re‑typing layout, extracting OOXML structures, and detecting charts, thereby enabling adaptive layouts, accurate formula rendering, and interactive chart extraction.
This article demonstrates how to automatically convert PDF slide decks into editable markdown text by first converting each page to images, then applying a deep‑learning OCR pipeline (CTPN for detection and CRNN for recognition) with Python code examples, achieving high transcription accuracy.