AI-Powered PDF Data Extraction using LLM (GPT-4o + Python + Streamlit)

Description

Extract Data from PDF using OpenAI GPT-4o (Step-by-Step Tutorial) In this video, I’ll show you how to build a PDF Data Extraction App using OpenAI GPT-4o, LangChain, and Streamlit — step by step! You’ll learn how to extract printed text, handwritten text, and tables from PDFs using LLMs and Python. Perfect for AI developers, data engineers, and anyone exploring Generative AI + Document Processing. What You’ll Learn Convert PDFs into images using PyMuPDF (fitz) Extract both handwritten and printed text using GPT-4o Get structured JSON output Track input/output/total tokens Build a full Streamlit web app Download extracted data as a JSON file Tech Stack OpenAI GPT-4o for multimodal understanding Python 3.10+ Streamlit for the UI PyMuPDF for PDF page conversion Pillow for image handling LangChain Core Messages for message structuring Source Code GitHub Repository: https://github.com/ramtheaiwarrior/Projects