MedPDF Structurer
Turn chart-heavy professional PDFs into queryable structured knowledge
- Problem
- A developer trying to structure the Chinese medical textbook Internal Medicine found that after splitting by table of contents, he got stuck on parsing images, tables, and flowcharts. AI-generated parsing scripts kept failing. In medical texts these diagrams carry diagnostic logic that is lost if dropped.
- Solution
- Upload a PDF, automatically split by chapter, extract tables/flowcharts/diagrams as structured fields. Provide disease-centric knowledge card templates and export JSON/CSV for downstream training or retrieval. Mark unparseable diagrams for human review rather than silently dropping them.
- Users
- Medical educators, developers building medical knowledge bases or question banks, med students preparing for exams
- MVP
- Only do chapter splitting + diagram OCR + table extraction; export disease cards; highlight unresolved areas; support local-only processing of sensitive material
- Revenue
- Per-document purchase or subscription; API billing for training institutions and med-exam platforms
- Why now
- LLM layout understanding is just good enough, but general tools still lose key diagrams in professional textbooks — a vertical gap an indie dev can own