Outpainting is an AI image generation technique that extends an existing image beyond its original borders, synthesizing new content in the areas surrounding the original frame that is visually consistent with the existing image's style, content, lighting, and perspective. Where inpainting fills in masked areas within an existing image, outpainting expands the canvas outward to reveal what might exist beyond the original edges.

The technique works by providing the AI model with the original image as context and asking it to generate plausible continuations of the scene in any direction - upward to reveal more sky or ceiling, sideways to extend a landscape or room, or in multiple directions simultaneously to reframe a tightly cropped composition into a wider view. The model must infer lighting direction, perspective, style, and environmental logic from the existing image and extend them convincingly into the new space. Outpainting enables creators to change the aspect ratio of an image without cropping it, to reveal environmental context around tightly framed subjects, to create wider establishing versions of compositions originally captured in close framing, and to build panoramic scenes from narrower source images.

Outpainting is particularly useful in workflows where existing imagery - whether AI-generated or photographed - needs to be adapted for a different format or compositional context. Extending a portrait-oriented image to landscape, for example, or widening a close-up to reveal the surrounding environment, allows creators to reuse and repurpose strong visual material across different use cases without regenerating from scratch.