ocr_kb

To convert long academic PDFs to editable DOCX with OCR, automate end-to-end extraction of text, LaTeX formulas, and figures into per-page Markdown, then compile incremental DOCX. This workflow requires Pandoc and PyMuPDF to process and render complex research papers.

Yes, the PDF to DOCX OCR pipeline supports LaTeX formula extraction by using Pandoc to convert LaTeX into OMML format. This ensures mathematical equations are accurately extracted and embedded in the final editable DOCX file.

You can extract figures and text from research notes per-page by rendering each PDF page with PyMuPDF and generating page-level Markdown. This process includes global numbering for figures to ensure cross-page consistency and traceability.

Yes, you can resume OCR processing for long documents because the workflow supports checkpointing and breakpoint recovery. Intermediate products are saved in a strict directory structure, ensuring complex paper workflows remain repeatable and traceable.

Yes, you need Pandoc and PyMuPDF to extract text from academic PDFs in this workflow. PyMuPDF handles page rendering, while Pandoc is strictly required for converting extracted LaTeX formulas into OMML format for DOCX compatibility.