Automatically Rotating Scanned Text Images with Tesseract OCR
Problem If you've ever had a batch of scanned images with text, you know how tedious it can be to manually rotate each one to the correct orientation. This process can be especially frustrating when dealing with a large number of images. Wouldn't it be great if there were a way to automatically rotate these images so that the text is always upright and readable? Solution To solve this problem, I developed a simple script that automatically detects the correct orientation of text in scanned images using Optical Character Recognition (OCR) and dictionary matching. Here's how it works: OCR Parsing with Tesseract : I used Tesseract, a popular open-source OCR engine, to extract text from the images. Tesseract is powerful and versatile, making it an excellent choice for this task. Dictionary Matching : I created a list of the most commonly occurring words in the text. This list acts as a reference to determine the correct orientation. While my example includes only 5-6 words,