physics-lesson-capture

To extract text and example questions from lesson PDFs and images, the workflow uses the DeepSeek-OCR pipeline to parse files and output structured text, an examples index, and summary artifacts for diagnostics.

Yes, you can generate lesson summaries and discussion notes from classroom DOCX materials. The workflow ingests DOCX files, extracts structured examples, and writes lesson_discussion.md and lesson_summary.md artifacts to support classroom reflection.

DeepSeek-OCR works with PDFs, DOCX, and images for lesson content capture by extracting text and identifying example questions. It uses pdfplumber and python-docx dependencies to process these formats and generate source manifests.

The best way to automate post-class diagnostics from scattered teaching materials is to run a lesson capture workflow that OCRs images and documents, extracts examples into a CSV, and generates structured markdown summaries for targeted homework.

To organize extracted classroom examples with source references for reuse, the workflow processes lesson materials and writes an examples.csv index alongside structured artifacts under a dedicated lesson ID directory.