via kinsta.com => original post link
Extracting text from images has been a popular problem in software engineering for long. Optical Character Recognition (OCR) has been a pioneer technology used widely to solve this problem. With its ability to transform images containing text into machine-readable data, OCR has revolutionized various industries, from document processing automation to language translation.
While commercial OCR solutions exist, building your own OCR API in Python, a versatile and powerful programming language, offers several advantages, including customization, control over data privacy, and the potential for cost savings.
This guide will walk you through creating your own OCR API using Python. It explores the necessary libraries, techniques, and considerations for developing an effective OCR API, empowering you to harness the power of OCR for your applications.