Text Extraction-EasyOCR

Text Extraction-EasyOCR, available at Free, has an average rating of 3.9, with 21 lectures, based on 15 reviews, and has 3772 subscribers.

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You will learn about Write codes to extract text from images Write codes to extract text from images in different languages Practically understand how text extraction works Use few lines of codes to do text mining from images This course is ideal for individuals who are Python developers or Beginners or Text Miners or Educators It is particularly useful for Python developers or Beginners or Text Miners or Educators.

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Summary

Title: Text Extraction-EasyOCR

Price: Free

Average Rating: 3.9

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Write codes to extract text from images

Write codes to extract text from images in different languages

Practically understand how text extraction works

Use few lines of codes to do text mining from images

Who Should Attend

Python developers

Beginners

Text Miners

Educators

Target Audiences

Python developers

Beginners

Text Miners

Educators

Hello future developers, welcome to the course on text extraction using the power of computers, thus Optical Character Recognition( OCR).

Do you want to extract text from an image for personal or commercial purposes without having to pay for expensive software or online services? This course is for you if you answered, Yes because, you will learn to build your very own OCR program in python.

With EasyOCR, the power of artificial intelligence is just a python code away(a few lines of code).

EasyOCR, comes with great methods that will help us extract text from images as easily as making pie without the need for sophisticated technologies.

EasyOCR comes with options to other use the Graphical Processing Unit (GPU) of their computer or coders can use the normal Central Processing Unit (CPU) of their computers to extract images from images fed to the code.

In this course, we will use easyOCR, a python package that can help us to extract texts from images with just a few lines of code.

We will learn to use some computer vision methods from openCV to help us overlay text on our images, kinda tagging our text based on a region/ bounding box for which a particular text is located on an image.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Quotes

Chapter 2: Python installation & Download

Lecture 1: Installing Python and IDES

Lecture 2: Quotes

Chapter 3: Installing and Importing Packages

Lecture 1: Installing and Importing Packages

Lecture 2: Quotes

Chapter 4: Single Text Extraction-Exercise-2

Lecture 1: Single Text Extraction

Lecture 2: Quotes

Chapter 5: Text Extraction-Exercise

Lecture 1: Text Extraction-Exercise

Lecture 2: Quotes

Chapter 6: Text Overlay Setup-Exercise 4

Lecture 1: Text Overlay Setup-Exercise 4

Lecture 2: Text Overlay-Exercise-5

Lecture 3: Quotes

Chapter 7: How to Extract Chinese Text Exercise

Lecture 1: Extract Chinese Text Exercise-6

Lecture 2: Quotes

Chapter 8: How to Extract Multiple Text

Lecture 1: Extract Multiple Text-Exercise-7

Lecture 2: Quotes

Chapter 9: Multiple Languages Texts Extraction

Lecture 1: Multiple Languages Texts Extraction-8

Lecture 2: Quotes

Chapter 10: Paragraph Method-Exercise-9

Lecture 1: Paragraph Method-Exercise-9

Lecture 2: Quotes

Instructors

Bliva TangerynTech
Cyber Analyst | Artist | IT Specialist | WordPress Developer

Christian Kusi
Instructor at Udemy

Rating Distribution

1 stars: 0 votes

2 stars: 2 votes

3 stars: 2 votes

4 stars: 6 votes

5 stars: 5 votes

Frequently Asked Questions

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