What does the kitchen photo really say about home value?

Scroll through Hemnet long enough and the pattern starts to emerge. Some kitchens stop the eye. Others you scroll past without a second thought. But the question we rarely ask is: how much is that feeling actually worth?

More than you might think.

The kitchen sells — agents know it

Ask any experienced estate agent and most will say the same thing: the kitchen and the bathroom are the rooms that decide it. Not the bedroom size. Not the storage. The kitchen.

There is a logic to it. The kitchen is a room with high visibility and high renovation cost. A buyer who sees a worn kitchen knows it will cost 150,000–300,000 kronor to replace. That cost gets factored in — consciously or not — already at the viewing.

Conversely, a newly renovated kitchen with a sense of quality signals that someone has invested in the property. It builds confidence. And confidence drives bids.

What the traditional model misses

A classical AVM knows the property has a kitchen. It knows roughly how large it is. It knows nothing about whether it has flat-front cabinet doors from 2023 or louvred doors from 1994. It does not know whether there is a kitchen island, whether the worktops are marble or laminate, or whether the lighting is considered or a fluorescent tube on the ceiling.

Those differences are not cosmetic. They are economic. And they do not show up in the transaction register.

What an image analysis model can actually see

When we at Nezto train our computer vision models on kitchen images, the goal is to teach the model to distinguish the attributes that an experienced agent intuitively registers in a matter of seconds.

This can include:

• Standard and finish — are the materials high or low quality? Integrated appliances or freestanding? Splashback in tile or glass?
• Age and condition — does the kitchen show signs of wear, or does it look new?
• Layout and functionality — is there an island? How is the work surface organised?
• Light and space — is the kitchen dark and enclosed, or bright and open?

Each such signal is small on its own. Together, they begin to build a picture — in both senses of the word — of what the property is actually worth.

One signal among several

We want to be clear about one thing: the kitchen image does not replace the valuation model. It complements it.

The Nezto Vision Engine™ combines traditional transaction data — location, size, floor, sales history — with the visual signals we extract from images. The kitchen is an important room in that picture, but it is one room among several. The bathroom, the living room, the balcony — all contribute. The point is that for the first time we are beginning to quantify what previously lived only in an agent's judgement.

What this means in practice

For an agent setting a listing price, it means stronger supporting evidence. Not just "similar apartments on the same street have sold for X" — but "similar apartments with a similar kitchen standard on the same street have sold for X."

That is a different level of precision. And in a market where the difference between the right and wrong listing price can cost the seller hundreds of thousands of kronor, that precision matters.

The kitchen image says more than most people think. We have started listening.