What AI room design can and can't do

AI room design can show you what a specific change to your own room would plausibly look like: a wall in a different color, a floor in a different material, a sofa replaced, a whole room restyled, as a photograph rather than a mood board. It cannot measure anything, price anything, engineer anything, or match a paint color exactly, and in Interify it is built not to move your walls, windows, doors or ceiling: without a style, everything outside the areas you mark stays as it was, and a whole-room restyle is told to keep the architecture, which it usually does.

Knowing which side of that line a question falls on saves a lot of disappointment, so here is the honest version of both lists.

What it does well

Directed changes on your own photo. You mark the wall, the floor or the sofa, say what it should become, and the areas you marked are regenerated. With no style, everything outside them comes back from your photo. That is the difference between editing your room and generating a room that resembles yours.

Deciding between options. The real strength is comparison. Four versions of your own room with four different floors, in identical light from an identical viewpoint, answer a question that four showroom photos cannot.

Whole-room restyling. A style preset applies a coherent set of materials, colors and lighting across the photo, and is told to leave the architecture alone, which it usually does — one style per version.

Iterating without starting over. Try again runs the same request for a different take, and the first one on each version is free. Tweak changes the style or instruction behind a result. Refine brushes over one part of a result and regenerates just that part. Use as base makes a result the starting point for the next change, so changes stack.

Showing someone else. A share link opens for anyone, with no account, and puts the before and after on one slider when the original is included.

Reasonable output quality. Results come back at HD resolution, never larger than the photo you uploaded, on every account.

What it does not do

4K output. Results are HD. There is no 4K export, on any account.

Several styles in one run. Each version uses one style, with an optional instruction beside it, but never two styles. Comparing styles means running the room more than once, which is also the better way to compare them.

Editing your own photo without an account. Uploading a photo needs a signed-in account. The sample room at /try needs none, and is there precisely so you can see how it works first.

Floor plans, 3D models, measurements or cost estimates. There is nothing in a result you can scale off and no price attached to it. It is a photograph of a change, not a construction document.

Moving the room. Nothing asks the model to move a wall, enlarge a window or raise a ceiling. With no style, that is structural rather than instructed: the model's work is composited into the areas you marked, and everything outside them comes back from your photograph. On a whole-room restyle the architecture is part of the instruction instead, so it is kept rather than guaranteed. Either way this is a design decision rather than a limitation to be worked around: it is what keeps the result recognizably your room, and why the result is useful for showing finishes.

Color matching. A rendered color is the right neighborhood, not the right color, and no consumer screen is calibrated to a paint manufacturer's standard. Shortlist on screen, then test physically — testing paint colors on your own walls is the method.

Guaranteeing the finished room. How close reality gets depends on the products available, the contractor doing the work and the budget. The preview is the brief, not the outcome.

Directed editing and whole-photo generation are different questions

Many tools in this category take a photo and generate a new room that resembles it. That answers "show me a nice room like this one". Directed editing answers "show me this room with the floor changed", which is the question people with a room and a budget are actually asking.

The distinction has practical consequences. A whole-photo generator will happily return a beautiful room with your window in a different place, your radiator gone and a bay you do not have, because nothing in it is anchored to your photograph. For inspiration that is fine. For deciding whether to buy a floor it is useless, because you cannot tell which part of the improvement is the floor.

It also changes how you work. With directed editing the useful habit is to change one thing at a time and keep everything else constant, so each version is a controlled comparison rather than a new proposal. That is why the marked area, the note and the whole-room instruction exist as three separate controls: one says where, one says what, and one speaks to the photo as a whole for the things a single area cannot cover.

Where results commonly go wrong

Worth knowing, because recognizing a familiar failure is faster than re-describing everything.

• Small, repeated geometry. Tile grids, brick courses and herringbone seen at a sharp angle sometimes drift out of alignment.
• Text and logos. Lettering on book spines, labels and signs rarely survives an edit intact.
• Reflections. Mirrors and glossy floors may reflect something slightly different from what is in front of them.
• Small hardware. Cabinet pulls, switch plates and outlet covers are often approximated.
• Very dark or very blurry originals. The model cannot recover detail the photograph never captured.
• Over-ambitious notes. One area asked to change in six ways usually changes in two of them.
• Architecture in a whole-room restyle. A restyle regenerates the photo under an instruction to keep the room's geometry, so a window reveal, a doorway edge or a ceiling line can shift slightly. A directed edit with no style does not have this failure: the model's work is composited into the area you marked, and the rest comes back from your photo.

The fixes are mundane: a better photo, a tighter outline, one change per area, and Refine for a single stubborn detail. Writing notes for marked areas and how to photograph a room for AI editing are the two guides that prevent most of this.

What happens when a version fails

Sometimes a version does not complete. When that happens the credit it cost is returned automatically, and the version shows what went wrong rather than quietly disappearing. You do not need to ask for it.

What happens to your photos

Photos are stored encrypted and are visible only to you unless you create a share link. They are not used to train AI models, not sold, and not shown to anyone else. Projects can be deleted at any time, all your data can be exported, and the account can be deleted from Settings.

When to use something else

Getting the most out of it

1. One good photo. Daylight, lamps off, level camera, whole surface in frame.
2. One change per marked area, described concretely.
3. Protect what stays. Outside a marked area nothing is touched; under a style preset, name what must survive in the whole-room instruction.
4. Run variants rather than one perfect attempt. The comparison is the product.
5. Refine single details instead of regenerating the whole room.
6. Stack decisions with Use as base once a change is agreed.
7. Confirm physically before spending money.

The short version

Interify answers "what would this room look like if I changed that?" convincingly, on your own photo, for the price of a credit and a short wait. It does not answer "how much", "will it fit" or "is it structurally possible", and it does not pretend to. Used for the first question and not the others, it is a genuinely good way to stop arguing about words and start looking at pictures of your own room.

See how it works for the steps in order, the features page for each control, or try it on a room that is already set up in the sample room.