paper2blog

To convert an academic paper into a bilingual editorial package, this skill automates data extraction and text generation to produce Chinese WeChat articles and English research blog posts. It streamlines the editorial workflow directly from the source document.

Generating WeChat articles from research papers is best handled by transforming the source text into a bilingual editorial package. This process automatically extracts figures and captions, ensuring professional-quality Chinese content for broader audience sharing.

Yes, processing academic papers and extracting figures requires Python dependencies including python-docx, PyMuPDF, Pillow, and numpy. These libraries handle the underlying text processing, figure extraction, and document generation tasks.

You can automate bilingual text generation from a single PDF document by using this editorial package conversion process. It extracts the necessary data and figures to simultaneously generate both Chinese and English articles.

The editorial package does include extracted figures, captions, and source links from the original paper. This comprehensive output ensures the generated bilingual content maintains the research's visual and referential integrity.