R&K Image Studio

Rug shoppers and interior designers struggle to picture how a specific rug will look in a real room, and static product photos rarely close that gap. Rug & Kilim wanted a way for anyone to see any rug from the catalog placed in their own space, or any space they could describe, in seconds.

R&K Image Studio pairs Algolia instant search (pick any rug from the catalog) with Google's Gemini image models. Shoppers describe a room, upload a photo of their space, or choose a preset, and Gemini composites the selected rug into the scene at the correct real-world scale. A dimension-aware prompt engine reads each rug's size and aspect ratio to place it believably, and the whole thing runs as a hardened WordPress REST endpoint with model failover, a concurrency gate, and abuse protection.

Shoppers pick a rug from Algolia-powered catalog search, then describe a room, upload a photo of their space, or choose a preset, all from a single page.

Real outputs from the studio: each rug composited into a described or uploaded room at believable scale, with lighting and perspective matched to the scene.