Udemy
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 a beginner-level online course from Udemy in Python. It is structured in 13 modules with 7 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.7/5 from 447 ratings on Udemy, with 4.7K enrolled.
Part of our Python courses collection, where we compare it against 29 other courses.
Course highlights
| Provider | Udemy |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.7★ (447 reviews) |
| Learners | 4.7K |
| Price | Free Free |
What you’ll learn
Level and time commitment
Skills you’ll gain
What this course covers
13 modulesThe 13-part outline Udemy publishes for this course.
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
Rated 4.7/5 by 447 learners on Udemy (checked 26 Aug 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 →
Compiled by the 10courses 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 26 August 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.
| Course | Provider | Rating | Price | Duration | Why pick this one |
|---|---|---|---|---|---|
| Optical Character Recognition (OCR) in Python This |
Udemy
|
4.7★ | Free | Free — and still gives a certificate | |
| Python Data Structures |
 Coursera
|
4.9★ | Check price | 19h 50m | Highest rated (4.9★ from 97.3K reviews) |
| Python for Everybody Specialization |
Coursera
|
4.8★ | ₹3,999 | 2 months | Most popular — 2M learners |
| AI Python for Beginners |
Coursera
|
4.8★ | Check price | 17h 30m | Quickest to finish (17h 30m) |
Where Python leads
Roles we map to Python on 10courses. This is our own mapping of subject to job, not a placement claim by Udemy.
Browse every course we track for one of these — courses for data scientists.
Common questions
Is Optical Character Recognition (OCR) in Python free?
Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.
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.
Is Optical Character Recognition (OCR) in Python suitable for beginners?
Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.
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.