Extracting Structured Data from Images with OCR and LLM

Overview

Learn how to extract and structure data from images by combining Optical Character Recognition (OCR) and Large Language Models in this conference talk from Conf42 Prompt Engineering 2024. Explore the fundamentals of OCR technology and its significance in modern data processing, followed by practical demonstrations on integrating OCR with LLMs. Follow along with a hands-on demo that showcases building an application using Tesseract.js for OCR implementation and leveraging OpenAI's capabilities for data structuring. Master the complete workflow from initial setup through final testing, gaining practical insights into creating efficient systems for automated data extraction from visual content.

Syllabus

Introduction and Speaker Background
Understanding OCR: Basics and Importance
Combining OCR with LLMs for Structured Data
Demo Setup: Building the Application
Implementing OCR with Tesseract.js
Integrating OpenAI for Data Structuring
Final Testing and Conclusion