Udemy

Computer Vision : OCR using Python - GenAI with LLM & RAG

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  • 1,358 Students
  • Updated 3/2025
4.3
(287 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
8 Hour(s) 39 Minute(s)
Language
English
Taught by
Vineeta Vashistha
Rating
4.3
(287 Ratings)
5 views

Course Overview

Computer Vision : OCR using Python - GenAI with LLM & RAG

Become a Computer Vision Expert & Learn OCR with Tesseract, OpenCV, Deep Learning, GenAI, LLMs, & RAG

Master OCR with Python and OpenCV: Become a Computer Vision Expert

Unlock the Power of Text Extraction with AI & Generative AI

This comprehensive course will equip you with the skills to:

  • Build Cutting-Edge OCR Systems: Go beyond traditional OCR with Python and OpenCV. Learn to leverage the power of Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) to create intelligent and accurate text extraction systems.

  • Master Deep Learning Techniques: Dive into advanced deep learning models like CTPN and EAST for text detection and recognition.

  • Integrate GenAI for Enhanced OCR: Discover how to integrate Generative AI with LLMs and RAG to improve OCR accuracy, extract insights from unstructured text, and automate complex document processing tasks.

  • Apply OCR to Real-World Scenarios: Implement OCR solutions for a variety of applications, including document digitization, invoice processing, and more.

  • Stay Ahead of the Curve: Keep up with the latest advancements in OCR, Computer Vision, LLMs, RAG, and Generative AI.

Key Features:

  • Hands-On Projects: Gain practical experience with real-world projects, such as invoice processing, KYC digitization, and business card recognition.

  • Expert Guidance: Learn from experienced instructors who will guide you through every step of the process.

  • In-Depth Coverage: In-Depth Coverage: Explore a wide range of topics, from fundamental image processing and deep learning to advanced LLM and RAG techniques.

  • Dedicated Support: Get 24/7 support from our team of experts.

  • Flexible Learning: Learn at your own pace with self-paced video lessons and downloadable resources.

What You'll Learn:

  • Fundamental Image Processing: Understand the basics of image processing, including image formats, color spaces, and image manipulation techniques.

  • Text Detection and Recognition: Master techniques for detecting and recognizing text in images and PDFs.

  • Deep Learning for OCR: Explore advanced deep learning models like CTPN and EAST for accurate text detection and recognition.

  • Revolutionize OCR with the power of LLMs and RAG. Learn to build intelligent text extraction systems by mastering LLM fine-tuning, exploring RAG architectures, and seamlessly integrating OCR outputs into advanced AI pipelines.

  • Data Preprocessing and Augmentation: Prepare your data for training deep learning models.

  • Model Training and Evaluation: Train and evaluate your models using appropriate metrics.

  • Deployment Strategies: Deploy your OCR models to production environments.

Why Choose This Course?

  • Industry-Relevant Skills: Develop highly sought-after skills in OCR, Computer Vision, LLMs, RAG, and Generative AI to advance your career in AI and machine learning

  • Real-World Applications: Learn how to apply OCR to solve real-world problems.

  • Flexible Learning: Learn at your own pace with self-paced video lessons and downloadable resources.

  • Expert Guidance: Benefit from expert instruction and personalized support.

  • Career Advancement: Gain a competitive edge in the job market with advanced OCR skills.

Enroll Now and Unlock the Power of OCR with GenAI, LLMs, and RAG!

Course Content

  • 10 section(s)
  • 121 lecture(s)
  • Section 1 Course Starter
  • Section 2 OCR Starter - OCR Architecture
  • Section 3 Setting up Environment - Ubuntu, Windows
  • Section 4 Image Basics - Pixels, Kernel, Image Properties
  • Section 5 Text Detection - Machine Learning Techniques (Noise Removal, Thresholding)
  • Section 6 Exploring Open-Source OCR Tools - Tesseract, Calamari and OCRopus
  • Section 7 Cloud Vision Tools - Abbyy Cloud, Google Cloud and Azure Computer Vision
  • Section 8 Using OCR for RAG - LLM Pipeline
  • Section 9 Introduction to Neural Networks and Text Detection Models
  • Section 10 Text Detection & Recognition - EasyOCR, Tesseract, PyTesseract

What You’ll Learn

  • A quick starter on OCR Architecture, Commercial Solutions and Use Cases in Industry
  • Learn to implement OCR - Text Detection with OpenCV and Deep Learning Models
  • Use Tesseract and EasyOCR to implement OCR - Text Recognition
  • Work with OCR - Text Labelling using Spacy and Regular Expression
  • Discover the concepts of RAG, its architecture and extract deeper insights from text
  • Integrating OCR outputs into RAG pipelines for advanced document understanding and information extraction
  • Build OCR Solutions for Invoice Processing with Text Labelling and XML output & Vehicle Nameplate Recognition
  • Executable Code of CTPN and EAST Model implementation for Text Detection and Text Recognition
  • Learn to train Deep Learning Models of CTPN and EAST on ICDAR dataset
  • Understand the Image Basics and apply it for Image Processing
  • Use OpenCV and Tesseract to apply Noise Removal Techniques including Thresholding, Rescaling, Dilation, Erosion and Deskewing
  • Learn to develop web-based applications - Business Card Recognition and KYC Digitization for OCR using Flask


Reviews

  • M
    Manjit
    5.0

    It's a great course on OCR, very well structured and explained. The instructor explains each topic in depth along with practical examples that are a icing on cake. Best part is all the examples and projects are available for download that makes it very easy to practice them at my own pace.

  • A
    Ankit D
    5.0

    The explanation of how RAG technologies integrate with OCR, combined with a detailed code walkthrough, makes this course unique and valuable

  • R
    Ronak Nikam
    4.5

    no

  • T
    Tamir
    1.0

    Too much theory, not practical, been waiting the whole course for the punch line. I wish I could get a refund, but Udemy policy doesn't let me.

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