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AI & Machine Learning

Outpainting

An AI technique that extends an image beyond its original boundaries by generating new content that continues the existing scene.

Outpainting is the inverse of inpainting: instead of filling holes inside an image, it creates new content outside the image edges. The AI reads edge context such as sky, ground, walls, or background texture, then continues it into the added canvas while preserving perspective, lighting, and style.

Social media teams use outpainting to adapt one image to many formats. A portrait product shot for Instagram Stories can become a landscape Facebook cover by extending the sides while the product stays centered and unchanged.

Quality depends on how much new area is generated. Small extensions of about 10–20% per side usually look more reliable because the AI has strong visual context. Large extensions of 50% or more are more speculative, especially around buildings, roads, text, faces, or other strict geometry.

Magic Eraser supports outpainting through AI Fill. Users can add canvas on one or more sides, generate matching continuation content, and change aspect ratio or framing without cropping away the original composition.