Choosing a paint color is easy, but it's more difficult when it comes time to choose one that's just the right tone for the wall.

On a shade card, a customer might have a fondness for a warm beige, but after it is installed in the interior of the room, it could turn out to be a completely different hue. Natural or artificial light, furniture, room size, wall texture, surrounding colors and more can all influence the appearance of a paint shade.

That's the reason why lots of people ask the one question:

May I use a variety of colours first before selecting a colour?

When it comes to an AI Paint Visualizer, the answer is yes.

Instead of just making do with small swatches or imagining themselves, customers can upload their photo of the room they want to paint, experiment with various paint colors, compare the options, and list the ones they actually like from which to pick.

This means a much better and more engaging shopping experience for paint brands.

Why Choosing the Right Paint Color Is Difficult

The actual issue isn't that there's a shortage of options. In the majority of situations, consumers have too many choices.

Paint companies could have hundreds, even thousands of paint colors. Many whites, greys, greens, or beige shades might seem virtually indistinguishable on a sample card to a customer.

However, when the colors are used over an entire wall, the difference is quite apparent.

Customers usually:

Collect multiple shade cards
Save inspiration images online
Buy several sample pots
Paint test patches on their walls
Ask friends and family for opinions
Still remain confused about the final choice

This is where an AI paint visualizer can come in handy. It enables customers to visualize a variety of paint colors in their own home rather than in their imagination.

How Paint Buying Behaviour Is Changing

Customers today expect more from a brand website than a simple product catalogue.

They want to know:

How will this shade look in my bedroom?

Will this color match my furniture?

Should I choose a lighter or darker tone?

How will the paint look under the existing lighting?

An AI paint visualizer helps answer these questions before the customer reaches the store or speaks with a dealer.

This reduces hesitation and allows customers to explore more colors with confidence.

Try Multiple Paint Colors Before Making a Decision

Imagine a homeowner planning to repaint their living room.

They are considering five shades:

Warm white
Cream
Light beige
Sage green
Soft grey

They will have to order samples from all 5 colors if they don't have a picture.

They can use the AI Paint Visualizer to upload a photo of their living room, and then they can apply each shade within seconds.

They can easily discover that soft grey makes the room feel cooler, and sage green is a better colour to coordinate with their furniture and light.

Five ambiguous options turn into two definite options.

Then, the customer can purchase physical samples only of the shortlisted colors.

This will make the purchasing process quicker, easier and less stressful.

How Nirwana AI Works for Paint Brands

Nirwana AI helps paint brands bring this experience directly to their websites and digital catalogues.

The customer can send a picture of his/her room or he/she can select from a sample room.

The AI identifies the right wall surfaces and paints them in the chosen paint colour, and keeps the elements inside of the room, such as furniture, windows, doors, shadows, and architectural details intact.

Nirwana AI does not just add a flat color layer to top of the wall, it also provides a realistic visual preview instead.

Then, customers can easily try on various colors and different looks without having to exit the experience.

Key Features of Nirwana AI Paint Visualization

Realistic Paint Previews

Not just recolouring a wall is a quality attribute of a good AI paint visualiser.

The preview should retain the depth, shadows, highlights, and realistic appearance of the room to give customers a realistic idea of the room's finished appearance.

Lighting Accuracy

Colors in paint may look different in various light sources.

Under a different light source, a beige might look warm in the day and cool at night.

The lighting is also included in the uploaded image of the room and Nirwana AI considers them when giving the preview to give a more accurate view.

Automated Surface Mapping

A common issue with simple visualiser applications is not being able to accurately detect walls.

The paint can end up on furniture, doors, windows or other surfaces.

Nirwana AI automatically maps the textures and surfaces within the selected wall area for correct painting.

True-Scale Visualization

A 2 sample view of a color is vastly different than a view all the way across a wall.

If a customer isn't sure about a bold or subtle hue, true-scale visualization will assist them to understand how the color will appear in the actual scale and perspective of the room.

Easy Color Comparison

Customers have the option to sample several shades in succession without buying several sample pots.

This can assist them in narrowing down their choices and settle just on the hues that are suitable for their area.

A Realistic Scenario for a Paint Brand

Imagine a paint manufacturer offering 1,500 colors online.

A customer comes to the website and clicks nine different colors.A Customer visits a website and clicks on 6 different colors.

Traditionally, they may save the shades then visit a dealer, they may take home some swatches and then they will wait several days to make a decision.

Now imagine the same customer using an AI paint visualizer.

They upload their bedroom image, test six colors in a few minutes, reject four, and shortlist two.

The customer is now much closer to making a purchase.

The brand catalogue is no longer something customers simply browse.

It becomes something they can interact with.

Why Paint Brands Should Adopt an AI Paint Visualizer

For paint brands, AI visualization can improve several parts of the customer journey.

It can help customers explore more colors, reduce decision anxiety, spend more time engaging with the product catalogue, and make better-informed decisions.

It can also give dealers and sales teams a more powerful tool during paint consultations.

Most importantly, it helps answer the customer's biggest question:

“Will this paint color actually look good in my room?”

Conclusion

Customers want more confidence before committing to a paint color.

It is still helpful to get physical samples for final confirmation, but customers shouldn't be forced to buy multiple samples to know which ones to consider.

With an AI paint visualizer, they can try out various paint colours initially, make their choices more quickly, and then choose the one they are happy with.

Nirwana AI transforms a passive paint catalogue into a visual aid to guide customers from uncertainty to action, a boon for paint companies. Nirwana AI is a tool that transforms a passive paint catalogue into an active visualization experience, helping customers shift from uncertainty to purchase, a benefit for paints companies.

If your customers are still trying to imagine how your paint colors will look in their homes, Nirwana AI can help them see the possibilities before they choose.

Can I try multiple paint colors before choosing one?