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Spacely AI combines the art of architectural visualization with the power of generative AI.
Its rendering engine enhances lighting conditions, reflections, and textures dynamically.
The platform supports input from sketches, CAD exports, or photos.
You can choose from multiple design moods and render quality levels.
Spacely’s AI ensures accurate spatial interpretation while maintaining design intent.
It is built for professionals who demand quality and speed in every presentation.
The result is a lifelike render that captures material finishes and ambiance authentically.
Spacely AI democratizes rendering, making it accessible to designers, students, and firms alike.
With automated processing, teams can deliver visuals faster without overloading hardware.

Key Features

  • AI-powered photorealistic rendering

  • Style and lighting customization

  • Supports photo, sketch, or CAD input

  • Rapid output with professional quality

  • Ideal for interiors, exteriors, and rooms

Industries

  • Architecture & Interior Design

  • Real Estate Marketing

  • Visualization Studios

  • 3D Design & Rendering


An interior designer uploads a rough 3D model, and Spacely AI instantly produces a photorealistic render with accurate lighting and textures. A property developer creates high-end marketing visuals for pre-sale brochures. Architects use it to visualize concept proposals before construction. Students generate realistic presentation boards for academic projects. A real-estate agency produces furnished visuals to attract buyers online. Designers can apply different moods — day, dusk, or night — for client comparisons. A hospitality design firm renders multiple lobby styles in one session. Marketing teams use AI renders for social media content and advertisements. Spacely replaces expensive rendering setups with fast, cloud-based automation. Each render can be downloaded in ultra-high resolution for presentations or print. For architects and visualizers, it dramatically reduces production time while enhancing quality.

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