Decoritt vs Apply Design Detailed comparison features, price

Decoritt

Decoritt is an innovative AI-powered interior design platform that transforms the way people visualize and design living spaces. The platform combines advanced AI technology with user-friendly features to enable real-time room transformations, furniture removal, and style modifications.

The tool offers real-time rendering capabilities that instantly respond to user modifications, whether it's adjusting furniture placement, changing room styles, or enhancing image details. With access to over 50 room styles and collaboration with leading interior designers, Decoritt ensures professional-quality results while maintaining simplicity in its user interface.

Apply Design

Apply Design is an AI-powered virtual staging platform designed to elevate property images. It offers photorealistic results with a quick turnaround, allowing users to transform vacant or furnished rooms into beautifully staged spaces.

The platform features an intuitive drag-and-drop editor, furniture removal, and a vast catalog of furniture pieces, ensuring consistent and customizable designs. It supports both 2D and 360° images, catering to a wide range of real estate marketing needs.

Decoritt

Pricing

Freemium

From 19$

Apply Design

Pricing

Paid

Decoritt

Features

Real-time Rendering: Instant visualization of design changes
AI Furniture Removal: Simple scribble-based removal of unwanted items
Room Style Transformation: Access to multiple professional design styles
Image Enhancement: Fine detail adjustment with clear lines and perfect lighting
Multiple Masked Generations: Create various design versions
High Resolution Export: Professional quality output options

Apply Design

Features

Furniture Removal: Automatically removes existing furniture from images with one click.
Photorealistic Results: Generates high-quality, realistic renders based on layout and style preferences.
Multi-Angle Consistency: Replicates designs across multiple images of the same space.
On-the-Spot Revisions: Offers lightning-fast design customizations with a drag-and-drop editor.
Vast Furniture Catalog: Provides a library of over 12,000 furniture pieces to customize designs.
2D and 360° Image Support: Use any type of image in the platform.

Decoritt

Use cases

Personal home renovation planning
Professional interior design visualization
Real estate property staging
Content creation for design blogs
B&B property renovation planning
Furniture retail visualization
Design proposal creation

Apply Design

Use cases

Enhancing real estate listings with virtually staged images.
Creating marketing materials for property developers.
Assisting interior designers in visualizing and presenting design concepts.
Helping home stagers showcase their services.
Providing potential buyers with a realistic vision of a property's potential.

Decoritt

FAQs

How does Decoritt work?

Decoritt is a web-based app that allows users to remodel and redesign spaces through a Drawing Board interface. Users can generate furniture, erase objects, and change materials by painting freely. The Real-time Preview shows AI-generated renderings based on chosen styles and modifications.

What happens to my interior photos?

Decoritt uses an advanced AI analytics framework to analyze home structure, room attributes, and space layout while preserving the basic structure. The AI recognizes spatial layout and follows instructions to add or remove furniture without affecting other parts of the space.

Apply Design

FAQs

What is the turnaround time for virtually staged images?

The turnaround time is approximately 10-15 minutes per image.

What types of images are supported?

Apply Design supports both 2D and 360° images, taken by any device.

Is furniture removal included?

Yes, Apply Design offers an AI-powered furniture removal tool.

How much does it cost per image?

Pricing starts as low as $7 per image when you buy Apply Coins. The 'Auto Staging' feature starts at 1.5 Apply Coins per 2D Image. The 'DIY Staging' feature starts at 1 Apply Coin per 2D Image.