DALL-E is a generative AI model developed by OpenAI that can create images from text description prompts. It is a text-to-image model that uses deep learning methodologies to generate digital images from natural language descriptions, called "prompts". DALL-E can generate imagery in multiple styles, including photorealistic imagery, paintings, and emoji. It can "manipulate and rearrange" objects in its images, and can correctly place design elements in novel compositions without explicit instruction. Furthermore, DALL-E exhibits a broad understanding of visual and design trends. DALL-E can produce images for a wide variety of arbitrary descriptions from various viewpoints with only rare failures.

DALL-E can be used for a wide range of fascinating use cases and applications thanks to its exceptional capacity to produce unique, finely detailed visuals based on text inputs. Some notable examples include creative design and art, marketing and advertising, interpretability and control, and limited understanding of real-world constraints.

DALL-E was developed by AI vendor OpenAI and first launched in January 2021. DALL-E 2 is the newest system, generating more realistic and accurate images with 4x greater resolution than DALL-E 1. It is preferred over DALL-E 1 when evaluators compared each model. DALL-E 2 is now available without waitlist and its API is available in public beta.