TL;DR

• There is no single AI UX design tool. Research synthesis, wireframing, UI generation, accessibility checking and behavioural analytics are five different jobs, and the tools that do them well do not overlap.

• AI pricing moved from seats to credits, and that is the real change this year. Figma now gives a Full seat on Professional 3,000 AI credits a month and enforces the limit. UX Pilot, Magic Patterns, Adobe Firefly and Attention Insight all meter the same way.

• Three tools that every list still recommends are not what they were. Galileo AI no longer exists as its own product, Hotjar no longer sells Hotjar accounts, and Google Stitch is still an unpriced beta.

• Several of the most-recommended tools publish no price at all. Maze, Khroma and Google Stitch publish nothing. Dovetail publishes a free tier and "custom" and nothing in between.

• A working stack costs roughly $40 to $250 a month per designer depending on how much generation you actually do, and the variable cost is now the part that moves.

There is no single AI UX design tool, and that is the first thing most roundups get wrong. Research synthesis, wireframing, high-fidelity UI generation, accessibility checking and behavioural analytics are five different jobs. The tools that are good at one are mostly unremarkable at the others, and a list that ranks them against each other is comparing a usability testing platform with a colour palette generator.

What actually changed in 2026 is how you pay. AI features that used to be bundled into a seat price have moved to metered credits, Figma included, which means two teams on identical plans can pay very different amounts depending on how much they generate. That is a budgeting problem, and it is the thing none of the competing lists for this search have caught up with.

So this page is organised by stage, with current pricing, how each tool meters its AI, and a plain label on every entry saying whether we have used it on client work or only evaluated it. It covers both halves of the question most people are actually asking: which AI tools for UX designers are worth paying for, and where they genuinely save time rather than just producing more output.

The 15 Tools at a Glance

Two things to read off this before the entries. The free tiers are not comparable, because a daily credit allowance that does not roll over is a different proposition from a permanently free project. And the "how AI is metered" column is the one that decides your actual bill, which is why it gets its own section next.

How AI Design Tools Are Billed in 2026

This is the part that has changed, and it is the part the competing pages for this keyword have not covered at all.

Seats became credits

Until recently, AI features in design tools were a reason to be on a higher plan. You paid for the seat and the AI came with it. That model is being replaced by metered consumption, and Figma is the clearest example because it is the tool most teams cannot avoid.

Figma now allocates AI credits per seat per month. A Full seat on Professional gets 3,000, on Organization 3,500, and on Enterprise 4,250. Starter plans and every non-Full seat get 500. From March 2026 those limits are enforced rather than advisory.

If a team runs past its allocation, more credits are bought in blocks: 5,000 credits cost $150 as pay-as-you-go or $120 a month on a subscription, 7,500 cost $225 or $180, and 10,000 cost $300 or $240. On a Professional Full seat at $16 a month billed annually, a heavy generation month can cost more in credits than in seats.

The same model shows up almost everywhere once you look:

• UX Pilot gives 750 credits a month on Pro and 80 a day on free, with no rollover on the free tier

• Magic Patterns gives 1,000 credits a month on Starter and 5,000 on Business, then charges $0.02 per credit on demand

• Attention Insight gives 40 credits a month on Basic and 200 on Pro, and unused credits expire rather than carrying forward

• Adobe Firefly meters premium generations against a monthly credit balance while leaving standard generations unlimited on paid plans

What a credit actually buys

Nobody defines a credit the same way, which is what makes budgeting hard.

Attention Insight is the clearest: one credit equals one image test, one URL, or one AI recommendation. Magic Patterns publishes that a single generation costs around 70 credits and that iterating through four to ten versions costs 110 to 200, which means its 1,000-credit Starter plan is roughly a dozen properly explored components a month rather than a hundred.

Figma does not publish a per-action credit cost at all, so you cannot forecast a Figma AI bill in advance. You can only watch the balance.

That asymmetry matters more than any feature comparison on this page. A tool that tells you what an action costs can be budgeted. A tool that does not has to be monitored, and someone has to own the monitoring.

Budgeting when usage is unpredictable

Three things worth doing before you commit a team to any of this.

Find the overage rate before you need it. Magic Patterns publishes $0.02 a credit. Figma publishes block prices. Several tools publish nothing, which means you discover the cost at the moment you are blocked.

Check whether credits roll over. Magic Patterns rolls them forward one month. Attention Insight and UX Pilot's free tier do not. On a team with uneven project load, that difference is substantial.

Decide who watches the balance. On Figma, admins can see team usage in the billing dashboard and individuals can see their own. Without someone owning that, the first signal is a designer unable to work.

If you want the wider context on where this is all heading, our piece on AI in design covers the shift underneath the pricing.

What You Can Actually Get for Free

"Free" is doing a lot of work in this market and it means four different things depending on the tool. Worth separating them, because the difference decides whether you can evaluate something properly before paying.

A permanently free tier you can work in. Contentsquare gives 200,000 sessions a month at $0, which is more than most sites need. UX Pilot gives 80 credits a day and up to 13 screens, which resets every day and does not roll over, so a patient person can get real work done without ever paying. Figma Starter includes 500 AI credits a month. These are usable.

A free tier that is a demonstration. Uizard's three AI generations a month, Dovetail's single project, Relume's single project and single page. You can see what the tool does. You cannot evaluate how it behaves on a real piece of work, which is a different question.

A trial with a clock on it. Attention Insight gives 14 days and no free plan underneath it. Maze offers a trial and publishes no prices at all. If the thing you want to test is whether the tool survives contact with a live project, a fortnight is tight.

Free because nothing is published. Khroma has historically been free and now publishes no pricing at all. Google Stitch publishes no price and no usage limits and carries Labs branding. Both are free today. Neither is a commitment.

The practical version: the free tiers worth building a habit on are UX Pilot, Contentsquare and the free tiers of Claude and ChatGPT. Everything else free in this category is a preview.

Where AI Actually Saves Time for UX Designers

The promise attached to every tool on this page is hours saved. Some of it is real. A fair amount of it is output generated faster that then takes just as long to fix.

Worth separating the two, because the stages where AI genuinely compresses work are not the ones the marketing emphasises.

Where the saving is real

Synthesis. Reading twelve interview transcripts and pulling out themes is the single clearest win. It is pattern-matching across a lot of text, which is exactly what these models do well, and it turns a day into an afternoon of checking rather than an afternoon of reading.

The blank page. Getting from nothing to a first wireframe you can react to. The output is rarely what ships, but reacting to something wrong is faster than starting from nothing, and that is a real part of the job.

Microcopy variants. Twelve versions of an error message in thirty seconds, then you pick. This is small and it happens constantly.

Documentation. Component usage notes, handoff annotations, release notes. Dull, necessary, and the first draft no longer has to be yours.

Where the saving is imaginary

Anything that needs to match your system. Generic output plus the work to adapt it frequently costs more than building it properly once. This is the trap, and it is covered in the design system section below.

Final production assets. Close is not finished, and the last 10% of a component is most of the work.

Decisions. A tool will give you five directions and no view on which is right. That is still the job, and it is the part you are paid for.

Research you have not done. A confident synthesis of thin data is worse than no synthesis, because it is persuasive.

The honest shape of it: AI compresses the beginning of the work and the admin around it. The middle, where the actual thinking happens, is unchanged. Teams that report big gains are usually the ones who were spending a lot of time on the beginning and the admin.

How We Picked, and What We Have Only Evaluated

Worth being straight about this, because a lot of roundups imply hands-on use of everything they list and almost none of them have it.

Nine of these tools are in or have been through our actual workflow: Figma, UX Pilot, Relume, Adobe Firefly, Khroma, Attention Insight, Hotjar before the Contentsquare merge, Claude and ChatGPT. Those entries reflect what happened when we used them on client projects.

Six we have evaluated but not deployed on client work: Dovetail, Maze, Stark, Magic Patterns, Uizard and Google Stitch. Those entries describe what the tool does, what it costs and who it suits, and they do not claim results we have not seen. They are on the list because leaving out the research and accessibility layers entirely would make this a UI generation list rather than a UX one, which is the mistake most of these pages make.

What got a tool onto the list: it has to be usable in production rather than only for exploration, it has to export into something, and it has to publish either a price or a free tier that a team can actually start on. For the broader set that is not AI-specific, our UX design tools roundup covers the rest of the stack.

AI for Research and Synthesis

The stage most AI tool lists skip entirely, and the one where the AI case is strongest, because synthesis is pattern-matching across a lot of text and that is what these models are good at.

Dovetail

Evaluated, not deployed. Free tier: one channel, one project, one dashboard, basic AI summaries. Paid: Enterprise, custom pricing.

A research repository that tags interviews, clusters themes and answers questions across a body of past research. The free tier is genuinely usable for a single project, which makes it the cheapest way to find out whether a repository changes how your team works.

Worth knowing before you plan around it: Dovetail publishes a free tier and a custom-priced Enterprise plan and nothing in between. If you are a team of six, there is no published number to budget against.

Best for: teams sitting on interview data nobody has synthesised. 

Not right for: anyone who needs to know the price before a sales call.

Maze

Evaluated, not deployed. Free tier: trial. Paid: not published.

Unmoderated usability testing with AI-assisted study building and reporting. It is the tool most often named when teams want to validate a prototype without running sessions themselves.

Maze publishes no prices on its own pricing page. The plan cards and comparison table list features without figures. Any Maze price you see quoted in a roundup came from somewhere other than Maze.

Best for: validating prototypes at volume without moderating. 

Not right for: budgeting in advance.

AI for Wireframing and Early Exploration

UX Pilot

Used on client work. Free: $0 forever, 80 credits a day with no rollover, up to 13 screens a day, one project. Pro: $14.99 a month, or $11.49 a month billed annually, 750 credits a month and up to 125 screens. Teams: $39 a user a month, or $31 annually, 900 credits a user.

Prompt-to-screen generation with chat-based editing and Figma export. It is fast, and the free tier is the most generous starting point of anything here for genuine exploration.

The limitation is the one that applies to this whole category: it does not know your design system, so what comes out is plausible rather than yours. Use it to get past the blank canvas, not to produce the artefact you hand over.

Best for: early exploration and getting a shape on screen quickly. 

Not right for: production work inside an established system.

Uizard

Evaluated, not deployed. Free: $0, three AI generations a month, two projects. Pro: $12 a creator a month billed annually, $19 billed monthly, 500 generations a month, up to 100 projects. Business: $39 a creator a month billed annually, 5,000 generations, unlimited projects. Enterprise: custom.

The tool most often named in this category, and the one that turns a hand-drawn sketch or a screenshot into an editable wireframe. It also generates themes from a URL, which is a fast way to get a client's existing brand into a mockup before you have a system to work from.

The free tier is the thing to understand before you plan around it. Three generations a month is a demonstration, not a trial, and the step up to a usable allowance is a paid seat. Compare that with UX Pilot's 80 credits a day on free and the starting positions are not close, even though both tools present themselves as free to begin with.

Best for: turning sketches, whiteboard photos and screenshots into something editable. 

Not right for: evaluating properly on the free tier, which runs out in an afternoon.

Google Stitch

Evaluated, not deployed. Price: none published. Status: labelled Beta, a Google Labs experiment.

Generates mobile and web UI from a prompt, with an emphasis on multi-screen structure rather than finish. It is capable, and for structural exploration it is genuinely useful.

Two cautions, both worth more than the feature list. Google publishes no price and no usage limits anywhere on the product site, its documentation or its blog posts, so any limit figures you read in a roundup are not from Google. And it is a Labs experiment, which is not a category of product you build a workflow on. Our Google Stitch breakdown covers what it does well and what to use instead.

Best for: free structural exploration across multiple screens. Not right for: anything you need to still exist and still be free next year.

Relume

Used on client work. Export free tier: one project, one page, Figma export. Export Starter: $26 a user a month, or $18 billed annually. Export Pro: $58 a user a month, or $40 annually. Site hosting is priced separately from $12 a site a month billed annually.

Generates sitemaps, wireframes and component-level page structure, then exports to Figma or Webflow. For marketing sites it is the strongest tool in this section, because it works at the level of site architecture rather than individual screens.

Its AI usage is described qualitatively rather than numerically. The plans promise "enough AI usage to build a landing page" or "5x or 20x more usage" without publishing a credit count, so you cannot forecast it. Relume sits closer to the web end of this list, and our AI web design tools comparison covers that market properly.

Best for: marketing site structure, fast, with a real export path. 

Not right for: product UI, dashboards or anything with dense state.

AI for High-Fidelity UI Generation

Figma Make

Used on client work. Seats: Starter free, Professional $16 a seat a month billed annually or $20 monthly, Organization $55, Enterprise $90. AI credits: 3,000 a month on a Professional Full seat, 3,500 Organization, 4,250 Enterprise, 500 on Starter and on every non-Full seat.

Figma's AI lineup is now Figma Make for prompt-to-prototype, a Figma agent in beta, Weave for in-canvas image and vector generation, plus an MCP server and write-to-canvas for agent workflows. The name "Figma AI" that most roundups still use no longer matches anything on Figma's own site.

The honest assessment after using it: it is best when it starts from something you already have rather than from a prompt alone. Given existing frames and a component library in the file, it extends your work. Given a cold prompt, it produces competent generic output, the same as everything else in this category.

If you are weighing the platform decision underneath all this, the argument has moved on considerably from the days of comparing it with Sketch and Adobe XD, and the credits model is now part of that calculation.

Best for: teams already in Figma, extending existing work. 

Not right for: cold-start generation, or teams that cannot monitor credit spend.

Magic Patterns

Evaluated, not deployed. Free: free monthly credits, count not published. Starter: $20 a seat a month, or $17 billed annually, 1,000 credits. Business: $100 a seat a month, or $85 annually, 5,000 credits. On demand: $0.02 a credit on paid plans.

The most transparent tool on this page about what AI actually costs. It publishes that one generation runs about 70 credits and that iterating through several versions costs 110 to 200, which lets you work out in advance what a month of real use costs. Nothing else here does that.

It is also the tool in this category most explicitly built around working from an existing design system rather than generating from nothing.

Best for: teams with a component library who want generation that respects it. 

Not right for: solo exploration, where the per-seat cost outweighs the benefit.

Design-system awareness: the real dividing line

Worth saying plainly, because it explains why so much AI UI output feels generic and why "the output looks AI-made" is a pricing question rather than an aesthetic one.

Most generators have no access to your components, tokens or rules. They produce a competent interface from a general model of what interfaces look like. That is useful for exploration and useless for production, because adapting generic output to your system costs more than building from your system would have.

The tools that break this pattern do it by reading your actual library. Figma Make working inside a file with your components, Magic Patterns pointed at your design system, Relume exporting into a Webflow project with your classes. The question to ask of any tool in this category is not how good the output looks in the demo. It is what it does when you point it at your library.

That is also the practical reason a strong system pays for itself twice over now. Our guide to AI screen generators goes deeper on which ones can read a system and which cannot.

AI for Creative Assets

Adobe Firefly

Used on client work. Free to use. Standard: US$9.99 a month, 2,000 premium generation credits. Pro: US$19.99 a month, 4,000 credits. Premium: US$199.99 a month, 50,000 credits. Standard generations are unlimited on paid plans.

Icons, textures, illustrations and generative fill, trained on licensed data, which is the reason it gets used in commercial work where provenance matters. For teams already inside Creative Cloud it is the obvious choice and the integration does most of the arguing.

It is not a UI layout tool and does not pretend to be. For a comparison of the broader generative image market including Midjourney, the trade is roughly licensing clarity and integration against raw aesthetic range.

Best for: commercial asset generation where licensing has to be defensible. 

Not right for: interface layout.

Khroma

Used on client work. Price: none published.

Trains on colours you pick and then generates palettes, gradients and type pairings, with filtering for accessible contrast. It is a genuinely pleasant tool and it solves a real problem at the start of a brand or UI exploration.

One change worth noting: Khroma's site now publishes no pricing, no plan information and no beta label. It has historically been free. If you are building it into a process, that is worth confirming yourself rather than assuming.

Best for: generating a starting palette with contrast awareness built in. 

Not right for: enforcing accessibility across a whole system, which it does not do.

AI for Validation and Behaviour

Contentsquare, formerly Hotjar

Used on client work, before the merge. Free: $0 forever, 200,000 monthly sessions, one month of data access, one project. Growth: $39 a month, reduced from $49. Pro and Enterprise: custom.

Heatmaps, session replay, surveys and AI summarisation of what it records. The AI features that matter are session replay summaries and heatmap summaries, which turn hours of watching into something readable.

The important change: you cannot buy Hotjar any more. Hotjar merged into Contentsquare on 1 July 2025, hotjar.com/pricing now redirects to Contentsquare, and Contentsquare states that it is no longer possible to create a Hotjar account. Every competing list for this search still names Hotjar with Hotjar pricing. The product continues inside Contentsquare, with a more generous free tier than Hotjar's, but the thing you would be signing up for has a different name and a different price list.

Best for: behavioural evidence on a live site with real traffic. 

Not right for: pre-launch validation, since it needs traffic to say anything.

Attention Insight

Used on client work. No free plan, 14-day trial. Basic: €29 a month, or €23 billed annually, 40 credits. Pro: €119 a month, or €95 annually, 200 credits. Hero: €299 a month, or €250 annually, unlimited under fair use. One credit equals one image test, one URL or one AI recommendation, and credits do not roll over.

Predicted attention heatmaps before you have traffic, which is the gap it fills. For comparing two layout options at the point where you have no users to ask, it is genuinely useful.

One caveat we would want any buyer to have. Attention Insight publishes an accuracy claim of "90%-96% accurate heatmaps compared to real eye-tracking studies", and attributes it to its own training data rather than to an independent study. It is the vendor's own number. Treat the output as a directional signal that one layout draws the eye differently from another, not as a substitute for testing with people.

Best for: comparing layout options before launch. 

Not right for: evidence you need to defend to a sceptical stakeholder.

AI for Accessibility

Stark

Evaluated, not deployed. Premium Pack: from $198 a user a year, minimum three seats. Launch: from $2,500 a year. Grow: from $8,000 a year. Scale: from $21,000 a year.

Contrast checking, focus order, alt text and automated scanning, with plugins for the design tools and a compliance dashboard above them. It is the only accessibility-specific tool that appears on any list for this search, and it is on exactly one of them.

Two things to go in with. The pricing is organisational rather than individual, which is a different purchase from everything else on this page. And Stark's own pricing and compliance pages do not name a WCAG version or level, so if you need conformance against a specific standard, establish which one before you buy.

Best for: organisations with a contractual accessibility obligation. 

Not right for: a solo designer who wants a contrast checker.

AI for UX Writing and Synthesis

Claude and ChatGPT

Used on client work. Claude: free tier, Pro at $17 a month billed annually or $20 monthly, Max from $100. ChatGPT: free tier, Go at $8 a month, Plus at $20, Pro tiers at $100, $200 and $500.

Not design tools, and that is the point. Microcopy variants, tone adjustment, research guide drafting, synthesis of messy feedback into themes, and arguing with your own information architecture until it holds up. These are the two tools on this page that get used every day rather than per project.

What they are not good at: anything requiring knowledge of your product that is not in the prompt, and any judgement about whether the thing you are writing copy for should exist.

Best for: writing, synthesis and thinking out loud. 

Not right for: interface generation, despite what the demos suggest.

Five More We Considered and Left Out

Every list like this makes cuts and almost none of them say so. These five come up often enough on comparable pages that leaving them unexplained would be a gap, and their prices are worth having in one place anyway.

The first four are all prompt-to-screen generators, which is the most crowded corner of this market and the one where the tools differ least. If UX Pilot or Uizard does not fit, these are the next places to look rather than a different kind of answer.

What Changed in 2026 That the Lists Have Missed

Three tools that appear on nearly every competing page for this keyword are not what those pages describe.

Galileo AI no longer exists as its own product. Its site, usegalileo.ai, now redirects to Google Stitch. Galileo AI's co-founder Arnaud Benard is bylined as a Google Research Scientist on Google's own launch post for Stitch, and the founders announced publicly that the company had been acquired by Google. Stitch is where that work went. Yet Galileo AI still appears as a current recommendation on several lists ranking for this search, one of which prices it at $2 a month. Our explainer on Galileo AI covers what it did and where it ended up.

Hotjar cannot be bought as Hotjar. Covered above. It merged into Contentsquare in July 2025 and new Hotjar accounts cannot be created.

Google Stitch is an unpriced beta. No price, no published usage limits, Labs experiment branding. It may well become the default in this category. It is not something to standardise on yet.

The pattern underneath all three is worth more than the individual facts: this category is consolidating fast, and a tool list written eighteen months ago is now actively misleading rather than merely dated. Check that a tool still exists in the form a list describes before you plan around it.

Where AI UX Tools Still Fall Short

They do not know your system. Covered above, and it is the single biggest limitation. Generic output is cheap to produce and expensive to adapt.

They do not replace research. A model can synthesise interviews you have already run. It cannot tell you what your users do, and a confident synthesis of thin data is more dangerous than no synthesis at all.

Accessibility is checked, not solved. Automated scanning catches contrast and missing labels. It does not catch focus order that makes no sense, or a flow that is technically navigable and practically unusable with a screen reader.

Everything depends on the prompt. Which means these tools reward people who already know what good looks like, and flatter people who do not. The gap between a senior and a junior using the same generator is wider than it was, not narrower.

A generated screen is not a working product. Everything in the UI generation section above stops at the interface. It produces something that looks like a product and does nothing, which is fine for a design artefact and misleading if a stakeholder mistakes it for progress. If what you actually need is a functioning thing people can click through and use, that is a different category with different tools, and our comparison of AI app-building tools covers where each one stops being enough. Knowing which of the two you are buying prevents a surprisingly common and expensive misunderstanding between design and engineering.

They are repricing under you. This is the lesson of 2026 and it is not really a limitation of the tools, it is a limitation of how teams budget for them. A seat price is a fixed cost you approve once a year. A credit balance is a variable cost that moves with how busy you are, which means the month you most need to generate quickly is also the month you are most likely to run out. Budget for the variable, not just the seat, and give someone the job of watching it. Our view on the future of AI in design sets out where we think this settles.

What These Tools Do With Your Data

The question every design lead asks and almost no roundup answers.

Know what leaves your systems. Prompts, uploaded screens, research recordings and in some cases your component library are being sent to a model provider. For a consumer product that may not matter. For a healthcare or fintech client with a signed data processing agreement, it is the first question procurement will ask.

Check the training position per tool, not per category. Vendors differ, enterprise tiers usually differ from individual tiers, and the position changes. The answer that matters is what the contract you are on says today.

Name your subprocessors. If you are an agency, the AI tooling in your design process is now part of what you disclose to clients. Agencies that have been through an enterprise security review already know this. Agencies that have not will find out during one.

Three Stacks and What They Cost

Monthly, per designer, using the published prices above.

Solo designer, roughly $40 to $60. Figma Professional at $16, ChatGPT Go at $8 or Claude Pro at $17, UX Pilot Pro at $11.49, and free tiers of Relume and Khroma. The free tiers do more than you would expect at this level, and our list of free UI/UX design tools covers what you can get without paying at all.

In-house team, roughly $90 to $150 per person. Figma Professional or Organization, Claude or ChatGPT at the paid tier, Relume Export Starter at $18, Attention Insight Basic at €23 shared across the team, Contentsquare Growth at $39 for the team rather than per person. Add Figma credit overage, which is the line that moves.

Agency or studio, roughly $150 to $250 per person. The above plus Magic Patterns Starter at $17 a seat where there is a client design system to respect, plus a credit buffer, plus Stark if a client has a contractual accessibility obligation. Stark is the line that changes the shape of the budget, since it starts at $2,500 a year rather than a per-seat monthly figure.

The number that moves most is not on this list. It is generation volume, and it is the reason the billing section is at the top of this page rather than the bottom.

Conclusion

The useful way to think about AI UX tools in 2026 is as five separate purchases rather than one, bought for five different stages, with only two of them used daily.

Start with what you already pay for. Figma's AI is in your seat already, and understanding its credit allocation is more valuable than adding another subscription. Then add the one tool for the stage that is actually slow for you, whether that is research synthesis, early exploration or pre-launch validation.

And check the tools on any list, including this one, against the vendor's own site before you plan around them. Three of the most-recommended tools in this category changed hands or status in the last eighteen months, and the lists have not caught up. Our overview of AI UX practices covers how teams are actually working with these now, which matters more than which tool wins a comparison.

If you are building something where the interface has to carry a technical product, and you want product design, the component system and generation workflow handled by one team, that is the work we do. The tools are the easy part.

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Read case study