Decoratly

Decoratly

⭐ 3.7

Decoratly is an AI-powered interior design tool that transforms any room with customizable style makeovers.

Screenshots

Decoratly screenshot

About Decoratly

Decoratly leverages artificial intelligence to help homeowners and design professionals reimagine their living spaces without expensive renovations. Simply upload photos of your room or exterior area, specify your preferred style, color palette, and furniture types, and the AI generates realistic design mockups that match your vision. The platform eliminates guesswork by allowing you to preview design changes before making real-world decisions. The tool offers two distinct rendering modes to suit different goals. The 'makeover' mode enables dramatic transformations for users ready to completely redesign a space, while 'enhance' provides subtle refinements for those seeking minor improvements. This dual approach accommodates both ambitious redesigns and conservative updates, giving you full control over the scope of change. With 27 different style options available, Decoratly enables experimentation across various design aesthetics, from minimalist and modern to traditional and eclectic. The built-in 'prompt builder' feature empowers users to create custom design instructions, making it possible to explore unique combinations and personalized visions that standard templates might not cover. Designed for accessibility, Decoratly serves both casual homeowners exploring design ideas and professional decorators seeking to streamline client consultations. The platform's realistic rendering quality helps bridge the gap between imagination and execution, making it a practical tool for confident design decisions.

Pros

👍 Two rendering modes (makeover and enhance) for flexible design control 👍 27 style options enable diverse aesthetic experimentation 👍 Custom prompt builder allows personalized design instructions 👍 Works for both interior and exterior spaces 👍 Realistic AI-generated mockups inform real-world decisions

Cons

👎 Results depend heavily on photo quality and angles 👎 Custom style creation may require learning curve for new users 👎 Rendering accuracy varies based on complex architectural features