Visual Text Correction

Visual Text Correction is a method that integrates computer vision and natural language processing technologies, aiming to identify and correct textual errors in images. This technique analyzes the text content within images to detect spelling, grammar, and formatting errors, and offers accurate correction suggestions. Its application value lies in enhancing the readability and accuracy of textual information in images, making it widely applicable in fields such as document scanning, advertising design, and educational material production.