Design and diagrams decision
Interior AI
A capable developer can reproduce the core image-redesign flow and basic virtual staging in a week, but the vendor’s partnerships, curated style library, production polish and video pipeline are differentiators that make a full replacement nontrivial.
Visit website↗Built by @levelsio, who ships 6 products in this index
$32.5/mo
$390/yr
Read off the official pricing page.
$100one-off36 h to build
$40/mo4 h/mo upkeep
On cash alone, building overtakes the subscription at 2 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Upload a photo of a room, pick room type and style, call an image-generation model to produce redesigned render(s), present results in a gallery.
What it still won’t have
- Proprietary training data and any custom in-house models
- The vendor’s curated style library and large preset catalogue
- Production polish, AB-tested UX and reliability at scale
- Official integrations/partnership-enabled features (e.g., special World Labs or Stable Video Diffusion access)
What remains hard
- Integration maintenance
Interior AI is an official launch partner of World Labs state-of-the-art AI world model that makes this feature possible.
- Integration maintenance
Interior AI is an official launch partner of Stable Video Diffusion and use their tech to turn images into video.
- Brand trust
Interior AI™ | AI Interior Design + Virtual Staging AI App
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 2 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal Interior-AI replacement as a single-developer web app using Next.js (React) + Node API, Postgres (Supabase) for storage, and a hosted image-generation API (eg. Replicate or Stability). In scope: image upload endpoint with validation and thumbnails; simple room-type and style-select UI; preprocessing step to resize and optionally run open-source segmentation (e.g., detect/seg mask) before model call; integrate with a hosted image-to-image model to generate 4 variations; gallery page to view/download results; basic account auth and one paid tier stub (mock payments); assemble simple flythrough by generating a sequence of frames and encoding to MP4. Out of scope: training new models, large-scale multi-tenant billing, advanced style marketplace, polished mobile app. Require error handling, retries for model API calls, and unit/integration tests for upload, model-invoke, and gallery endpoints.
How we checked
How the score was reached
- Partly verdict base52
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score59
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Integrity checks
What held up, and what did not.