InteriorAI Ratings (September 2025)
This page breaks down InteriorAI ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand InteriorAI’s overall reputation. This data-driven overview will show you exactly how InteriorAI is rated - including how it compares to competitors.
InteriorAI's Overall Rating Summary
- Average Rating:3.6/5
- Total Reviews:12 reviews
- Sources:G2, Producthunt, Facebook, Trustpilot
- Last updated:September 1, 2025
InteriorAI Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4.6/5 | 5+ reviews | 05.08.25 |
 Producthunt | 2.3/5 | 3+ reviews | 05.08.25 |
 Facebook | 5/5 | 1+ reviews | 06.03.25 |
 Trustpilot | 2.8/5 | 3+ reviews | 05.08.25 |
What is InteriorAI?
Interior AI is an AI-powered app that allows users to redesign their interiors in seconds by taking a photo and selecting from various styles such as Modern, Minimalist, and Contemporary. It offers features like transforming sketches and SketchUp files into photorealistic renders, creating 3D flythrough videos, and using Virtual Staging AI to furnish empty homes for real estate. The app supports multiple room types and styles, providing high-resolution, photorealistic designs that can be generated from a laptop or phone.
🤔 InteriorAI vs Competitors: How Do Ratings Compare?
Check out InteriorAI AlternativesFrequently Asked Questions
How many stars is InteriorAI rated?
InteriorAI has an average star rating of 3.6 out of 5 stars based on average of 12 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from InteriorAI public reviews pages on platforms: G2, Producthunt, Facebook, Trustpilot. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for InteriorAI is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.