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Optical Character Recognition (OCR) in Python

OpenCV, Tesseract, EasyOCR and EAST applied to images and videos! Create your own OCR from scratch using Deep Learning!

Optical Character Recognition (OCR) in Python is an online course from Udemy in Python. It is structured in 13 modules with 7 stated learning outcomes, over 13 hours. It costs ₹469, certificate included. Learners rate it 4.9/5 from 453 ratings on Udemy, with 4.8K enrolled.

Part of our Python courses collection, where we compare it against 60 other courses. See all Python courses on Udemy.

★★★★★4.9(453 reviews) 4.8K learners English

Course highlights

Provider Udemy
Duration 13 hours
Level All Levels
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Instructor Jones Granatyr
Rating 4.9★ (453 reviews)
Learners 4.8K
Price ₹469 ₹3,289

What you’ll learn

Use Tesseract, EAST and EasyOCR tools for text recognition in images and videos
Understand the differences between OCR in controlled and natural environments
Apply image pre-processing techniques to improve image quality, such as: thresholding, inversion, resizing, morphological operations and noise reduction
Use EAST architecture and EasyOCR library for better performance in natural scenes
Train an OCR from scratch using Deep Learning and Convolutional Neural Networks
Application of natural language processing techniques in the texts extracted by OCR (word cloud and named entity recognition)
License plate reading

Level and time commitment

Udemy lists this course at All Levels level.
It is published as suitable across experience levels, so beginners and people brushing up share the same material.
Time commitment: 13 hours.
It is self-paced, so that figure is the material, not a fixed schedule.

What this course covers

13 modules

The 13-part outline Udemy publishes for this course, across 13 hours.

Module 1 · Introduction
Module 2 · OCR with Tesseract
Module 3 · Techniques for image pre-processing
Module 4 · OCR with EAST for natural scenes
Module 5 · Training a custom OCR
Module 6 · Natural scenarios with EasyOCR
Module 7 · OCR in videos
Module 8 · Project 1: Searching for specific terms
Module 9 · Project 2: Scanner + OCR
Module 10 · Project 3: License plate reading
Module 11 · Extra content 1: artificial neural networks
Module 12 · Extra content 2: convolutional neural networks
Module 13 · Final remarks

What learners rate it

4.9
★★★★★
453 ratings

Rated 4.9/5 by 453 learners on Udemy (checked 6 Oct 2026).

This rating is collected by Udemy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Udemy →

How this page is put together

Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udemy course pages — we never estimate a price or a rating. Last verified 6 October 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

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Optical Character Recognition (OCR) in Python This Udemy 4.9★ ₹469 13 hours Cheapest paid option (₹469)
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Python for Everybody Specialization Coursera 4.8★ Check price 2 months Most popular — 2M learners View ↗
AI Python for Beginners Coursera 4.8★ Check price 17h 30m Beginner-friendly · 17h 30m View ↗
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Common questions

How much does Optical Character Recognition (OCR) in Python cost?

It is listed at ₹469 on Udemy, last checked 6 October 2026. Course prices change and providers run discounts, so treat this as the list price and confirm on the provider page.

Does Optical Character Recognition (OCR) in Python come with a certificate?

Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

How long does Optical Character Recognition (OCR) in Python take?

Udemy lists it at 13 hours. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is Optical Character Recognition (OCR) in Python suitable for beginners?

Udemy lists it as suitable for all levels, so beginners and people brushing up work through the same material.

What does Optical Character Recognition (OCR) in Python cover?

It is organised into 13 modules, starting with Introduction and going on to OCR with Tesseract, Techniques for image pre-processing, OCR with EAST for natural scenes, Training a custom OCR, among others. The full outline is on this page.

Who teaches Optical Character Recognition (OCR) in Python?

Jones Granatyr, as listed by Udemy.

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