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Building OCR that actually works in real-world scenarios, here's how to do it.

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

(4.6) 5 reviews

75 learners

Level Basic

Course period Unlimited

  • nexthumans
Python
Python
AI
AI
openai
openai
openAI API
openAI API
Computer Vision(CV)
Computer Vision(CV)
Python
Python
AI
AI
openai
openai
openAI API
openAI API
Computer Vision(CV)
Computer Vision(CV)

Reviews from Early Learners

Reviews from Early Learners

4.6

5.0

lastadvance

100% enrolled

A lecture that truly helps with understanding and applying OCR. By following along with the hands-on practice, I was able to understand the theory as well.

What you will gain after the course

  • From Data Refinement to AI Service Connection, End-to-End OCR Practical Project

  • Deep Learning-based SOTA OCR Model Study

Introduction to the course

If you want to learn OCR technology that is actually used in the field, this is the course for you!
We work together to create enterprise-level OCR projects based on the latest SOTA models and practical know-how, aiming for an accuracy of over 98% even on non-standard documents and complex layouts.

  • “From Flyers to Chatbots, Catch Up on Real OCR Practice”

  • “This is how we make the 98% accuracy OCR that the industry wants!”

  • “Complex documents are OK too! Complete mastery of the latest OCR technology!”

  • “Start your hands-on OCR project today!”

#Python, #Artificial Intelligence (AI), #openai, #openAI API, #computer vision

Lecture Description

License plates, business cards, contracts… OCR is now standard.
In real life, we face complex, irregular documents like E-Mart flyers.

In this lecture, we will not just read the letters,
📦 Clean the data
🧠 Connecting to AI service
📊 Deriving insights
This hands-on course covers the flow of an end-to-end OCR project .

From deep learning-based SOTA OCR model
Building a project using real flyer data,
And RAG, chatbots, and marketing insights!

Learn everything about OCR that can be applied directly in practice.

Target audience

  • Practitioners and data engineers who need to handle complex document recognition.

  • Anyone who wants to design a real project using OCR technology

  • Anyone preparing or interested in RAG-based AI services

  • Students and job seekers who need a practical project for their portfolio

Learning Objectives

  • You can understand and compare the characteristics and application range of various OCR models.

  • You can extract necessary information in a refined form from unstructured documents (flyers, advertisements, etc.).

  • You can design a practical flow that links OCR data to RAG and AI services.

  • Gain the know-how to solve problems encountered in real life (distortion, background, font, etc.).

  • Understand strategies for achieving the level of accuracy required in business practice.

Notes before taking the course

Prerequisites

  • Python Basic Grammar

  • Although not required , it will help you learn if you know the following:

    • Experience using Pandas and Numpy

    • Machine Learning and Deep Learning Basics

    • Interest in computer vision or OCR technology

Tools and Libraries Used

  • Key technology stacks used in the course:

    • Python 3.10 or later


    • Image preprocessing and conversion using OpenCV and Numpy

    • OpenAI API

Practice environment

  • You can practice in a local environment and take the course without a separate GPU.


  • Practice code is provided along with the lecture materials.

Lecture materials

  • Provides flyer images and code samples needed for all exercises


Other Notes

  • The course is structured around practical, project-based learning, not just theory-based lectures.

  • Since hands-on practice is included, we encourage you to follow along and run Python code yourself during the course.

  • For continuous improvement, if you have any questions during the lecture, you can ask them through the community Q&A or instructor feedback channel.

Recommended for
these people

Who is this course right for?

  • Practitioners and data engineers who deal with complex document recognition

  • Someone who wants to design a real project utilizing OCR technology

  • Those preparing for or interested in RAG-based AI services

  • Students and job seekers needing practical projects for portfolio

Need to know before starting?

  • Python Programming Basics

Hello
This is

157

Learners

15

Reviews

27

Answers

4.9

Rating

3

Courses

I am currently serving as a development lead and consultant for projects at major corporations, as listed below. I am still active in the field.^^

In addition, I am serving as an adjunct professor specializing in Artificial Intelligence at Korea University's graduate school.

My goal is to provide practical, hands-on programming skills that can be applied immediately in the field. I look forward to creating engaging and enjoyable classes with all of you.

  • Enterprise AI Architecture and Service Design

  • Machine learning service implementation

  • Backend service development

  • Building databases and developing services in various cloud environments, including Cloud (Azure) Databricks, ETL, and Fabric.

Curriculum

All

22 lectures ∙ (11hr 47min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

5 reviews

4.6

5 reviews

  • lastadvance님의 프로필 이미지
    lastadvance

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    A lecture that truly helps with understanding and applying OCR. By following along with the hands-on practice, I was able to understand the theory as well.

    • kukuro9067님의 프로필 이미지
      kukuro9067

      Reviews 3

      Average Rating 4.0

      4

      32% enrolled

      • digitaltrans님의 프로필 이미지
        digitaltrans

        Reviews 9

        Average Rating 5.0

        5

        32% enrolled

        • fin4444님의 프로필 이미지
          fin4444

          Reviews 1

          Average Rating 4.0

          4

          32% enrolled

          • sjoh7998님의 프로필 이미지
            sjoh7998

            Reviews 15

            Average Rating 5.0

            5

            64% enrolled

            $84.70

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