How to Extract Text from Images in Python using OpenCV and EasyOCR

Описание

First released in 2007, PyTesseract is the to-go library for extracting text from images. It uses classical computer vision methods to perform optical character recognition (OCR), then features neural network components such as LSTM from its fourth version onwards. Is there any alternative that is as good as PyTesseract for OCR? Yes, EasyOCR it is. It is a new, deep learning-based module for reading text from all kinds of images in more than 80 languages.

In this video, we will go through a three-step tutorial. First, we will install the required libraries. Then we will perform image-to-text processing using EasyOCR on various images. Finally, we will use OpenCV to overlay detected texts on the original images. Let’s get started.


Timestamp:
00:00 - Introduction
03:50 - Install and Import Required Modules
08:09 - Image Loading and Text Recognition using EasyOCR
15:10 - Overlay Recognized Text on Images using OpenCV
24:53 - How Well Did EasyOCR Perform?
29:01 - Text-to-Speech Recognition

Full tutorial: https://blog.finxter.com/how-to-extract-text-from-images-ocr-in-python-using-opencv-and-easyocr/
GitHub link: https://github.com/nghweigeok/text-recognition-ocr-python
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