OCR PDF Documents Using Tesseract Docker Image

Optical Character Recognition (OCR) is a powerful technology that converts different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data. Tesseract is one of the most popular open-source OCR engines available today. In this article, we will explore how to use Tesseract within a Docker container to perform OCR on PDF documents. Why Use Docker for OCR? Docker provides a consistent environment for running applications, ensuring that the software behaves the same way regardless of where it is deployed.

Understanding OpenCV: A Comprehensive Overview

OpenCV (Open Source Computer Vision Library) is one of the most popular open-source libraries designed for computer vision and image processing tasks. It was initiated by Intel in 1999 and later supported by Willow Garage and Itseez (which was later acquired by Intel). The library provides a robust infrastructure for various applications in fields like robotics, artificial intelligence, and machine learning. Key Features of OpenCV Comprehensive Functionality: OpenCV offers more than 2500 optimized algorithms, which can be utilized for tasks such as object detection, face recognition, image filtering, and machine learning.