paper-style-toolkit

You can convert academic PDF papers to cleaned Markdown using MinerU-backed batch conversion that extracts images and generates output reports. This process normalizes section headers, cleans equations and tables, and removes artifacts to produce analysis-ready Markdown files.

Academic writing style extraction analyzes processed Markdown to aggregate corpus-level patterns including voice, tense, high-frequency academic verbs, transition phrases, and citation styles. It outputs structured JSON analysis with confidence reports detailing detected stylistic patterns across multiple research articles.

Yes, you can batch convert a folder of conference PDF papers to processed Markdown using MinerU-backed conversion with glob fallbacks. The toolkit supports relative-path script execution to handle multiple files and extract figures, tables, and captions automatically.

Yes, Jinja2 template validation checks syntax for generated templates and hybrid artifacts extracted from academic papers. This verification ensures template structures are syntactically correct before downstream use in style-driven document generation.

MinerU-based PDF conversion requires proper environment setup and may need post-processing for formatting artifacts like irregular section headers or uncleaned equations. Complex table structures and figure captions often require additional normalization to produce analysis-ready Markdown output.