论文排版与整理完全工作流 (Iterative OCR & Typesetting Pipeline)

What problem does it solve?

This Skill solves the problem of converting research PDFs (especially scanned or layout-heavy papers) into clean, structure-preserving DOCX that matches academic formats, without losing figures, tables, and equations.

Core Features & Use Cases

• Iterative page OCR + structure normalization: extracts per-page text with strict heading-level hygiene and clean Markdown suitable for later typesetting.
• Formula-to-OMML conversion workflow: forces all formulas into explicit LaTeX syntax so they can be converted into Word-native OMML reliably.
• Figure/table detection with precise cropping: generates individually numbered figure images instead of embedding whole-page screenshots, preserving citation-ready visuals.
• Incremental DOCX build with checkpointing and audit: appends each page immediately, supports suspension/continuation, and requires periodic verification every 2 pages.
• Use Case: You need to re-typeset a conference paper in IEEE/APA format after correcting OCR issues, preserving global figure/equation numbering, and producing an editable DOCX for submission and revision.

Quick Start

Ask the agent to follow Pipeline A to iteratively OCR and typeset the provided PDF into a final DOCX in IEEE format, producing checkpointed intermediate outputs and figure-cropped assets.