hf-papers-reporter

To generate a Word report from HuggingFace papers, you run the main Python script to automatically fetch daily papers, parse PDFs for abstracts and introductions, extract figure images, and compile everything into a formatted .docx file along with a metadata JSON.

Yes, you can automatically extract abstracts and figures from HuggingFace PDFs. The process downloads the daily papers and uses PDF parsing to pull out abstracts, introductions, and figure images for your documentation.

Yes, this PDF parsing approach works by using PyMuPDF to extract text and figures from academic PDFs, while python-docx assembles the extracted content into a professionally formatted Word document.

The best way to summarize HuggingFace Daily Papers for a briefing deck is to automate content extraction. This fetches paper metadata, pulls introductions and abstracts, and outputs a single ready-to-share Word document.

A limitation when extracting figures from academic PDFs is that the process specifically targets abstracts, introductions, and images, meaning complex tables or full-text body sections outside the introduction are not included in the generated Word report.