Maket launches floor and wall textures from text or images
Maket, the AI-powered platform aimed at architects and interior designers, has introduced a new feature that allows users to generate floor and wall textures using either a text description or an uploaded reference image. The addition brings material exploration directly into the design environment, reducing the need to source textures from external libraries or rely on pre-built asset packs.
The text-to-texture approach lets designers describe a surface - such as a weathered concrete finish or a herringbone oak floor - and receive a generated texture that can be applied within the platform. The image-based input option allows users to upload a photo of an existing material and use it as a visual reference for generating something similar or derivative, which could be useful when matching real-world samples to digital models.
Maket has been building out its suite of generative tools for architectural use cases over the past couple of years, with features that include AI-assisted floor plan generation and rendering. Adding texture generation fits into that broader direction of covering more of the design pipeline with AI assistance. Surface materials are a significant part of how a space reads visually, and having them generated on demand - rather than selected from a fixed catalog - gives designers more flexibility during early-stage concept work.
For professionals working on client presentations or iterating quickly through design options, the ability to produce custom textures without leaving the platform is a practical time-saver. The quality and tilability of AI-generated textures have improved considerably across the industry in recent months, making this kind of feature more viable for real production workflows than it would have been even a year ago.
