This model identifies and removes artificial text, logos, or natural text found within an image. It analyzes surrounding pixels to fill the void, ensuring the background remains coherent. It is used for cleaning product labels, clearing distracting street signs, or removing watermarks from environmental photos. The result is a clean image without visible artifacts from the original text placement.