Text-to-image tools are software applications that generate images based on a textual input. These tools use artificial intelligence (AI) algorithms to convert text descriptions into visual representations.

The process typically involves feeding the tool a textual description of an image, such as "a red apple on a wooden table," and the tool then uses machine learning models to create a corresponding image. The output can be a variety of formats such as a still image, animated gif, or video.

Some text-to-image tools use Generative Adversarial Networks (GANs) to generate the images. GANs are a type of deep learning neural network that can create new images by learning from a training dataset.

Text-to-image tools have many potential applications, including generating images for product catalogs, creating visual aids for educational materials, and producing visual content for social media marketing. They can also be used in the creative arts, such as generating illustrations for books and comics or producing concept art for films and video games.