AI Renovation - AI Tool for Architecture & Design

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AI Renovation (airenovation.io) helps homeowners, interior designers, and real estate professionals visualize complete renovations from a single photo. The platform recognizes walls, floors, furniture, and fixtures automatically, then offers 30+ professional design styles, clutter removal, and material previews. Built-in virtual staging and paint visualization tools make it easy to test multiple looks before investing in construction or staging.

Key Features

Automatic space geometry recognition for walls, floors, and furniture
30+ interior design styles plus renovation-ready prompts
Virtual staging with furniture placement and clutter removal
Paint color and flooring visualization
Material previews for cabinets, benchtops, and textiles
Before/after comparison slider for sharing results
Image quality enhancement for low-light or blurry inputs
2D to photorealistic visualization conversion

Overview

AI Renovation (airenovation.io) helps homeowners, interior designers, and real estate professionals visualize complete renovations from a single photo. The platform recognizes walls, floors, furniture, and fixtures automatically, then offers 30+ professional design styles, clutter removal, and material previews. Built-in virtual staging and paint visualization tools make it easy to test multiple looks before investing in construction or staging.

Research Highlights & Evaluation Tips

AI Renovation advertises key functions such as Automatic space geometry recognition for walls, floors, and furniture, 30+ interior design styles plus renovation-ready prompts, Virtual staging with furniture placement and clutter removal, Paint color and flooring visualization. These capabilities are pulled directly from the vendor’s public materials so your team can gauge how the platform copes with everyday project requests.

Teams typically deploy AI Renovation for workflows like Home renovation planning and visualization, Virtual staging for property listings, Kitchen and bathroom redesign previews. Mapping these scenarios to your current pipeline makes it easier to justify pilot budgets and set measurable KPIs.

Implementation checklist

  • Start with the free allocation to validate output quality and confirm the UI works on the hardware your team carries into the field.
  • Paid options such as Basic, Professional unlock higher resolution exports and support commitments—use these tiers when client deliverables demand consistent turnarounds.
  • Document the supported formats (JPG, PNG) so your downstream BIM, DCC, or marketing tools can stay in sync without additional conversion steps.
  • Save the vendor’s support channel in your runbook to escalate blockers quickly during time-sensitive submissions.

Technical Specifications

Supported Formats

JPGPNG

Export Options

High-resolution downloadsInteractive comparison slider
Collaboration: No
API Available: No
Mobile Support: Yes

Use Cases

Home renovation planning and visualization
Virtual staging for property listings
Kitchen and bathroom redesign previews
Paint color and flooring comparisons
Interior design concept generation
Real estate marketing collateral

Pricing

Free Plan

  • 3 credits free trial
  • Access to core design styles
  • Standard resolution outputs
Limitations:
  • • Credits required after trial
  • • Watermark on free exports

Paid Plans

Basic

$50/month

Homeowners and small teams

  • 50 credits per month
  • Full design style library
  • Standard resolution outputs
  • Email support
Billing: monthly

Professional

$250/month

Agencies and real estate marketing teams

  • 250 credits per month
  • Priority rendering speeds
  • Commercial usage rights
  • Advanced editing tools
  • Priority support
Billing: monthly

Integrations

Photo upload workflow
Before/after comparison links for clients
High-resolution export for print or web listings

Quick Info

Category

Interior Design

Subcategory

Interior Design & Remodeling

Pricing

Paid

Last Updated

2026-01-07

Try AI Renovation

Company Information

Support Options

Documentation
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