AutoStudy AI — PDF Upload & Text Extraction

Today I implemented the core document pipeline for AutoStudy AI.

What works

• Upload a PDF through the web interface
• Save the file locally
• Extract text from all pages using PyMuPDF
• Display the extracted text in the browser

Why this matters

This is the first end-to-end workflow of the project. AutoStudy AI can now take a document and convert it into machine-readable text, which will be the foundation for:

• AI summaries
• Flashcards
• Quiz generation
• Spaced repetition

Tech stack

• Flask — web backend
• PyMuPDF (fitz) — PDF text extraction
• Python 3.11

Next step

Integrate Ollama + Qwen3 to generate local AI summaries directly from the extracted text.

First milestone achieved: documents can now enter the AI pipeline completely offline. 🚀