Canva on Tuesday launched Canva Code 2.0, a major upgrade to its AI-powered coding tool that lets users build interactive websites, apps, and experiences using plain-language prompts — and then edit the results as easily as tweaking a Canva presentation. The feature is now available to all of the company’s more than 265 million monthly users across every pricing tier, including free accounts.
The move is Canva’s most aggressive push yet into the fast-growing «vibe coding» market, a category that barely existed 18 months ago but has already minted billion-dollar startups and reshaped how non-developers think about building software. But where rivals like Lovable, Replit, and Bolt.new have focused primarily on generating functional code from text prompts, Canva is making a different bet: that the real bottleneck isn’t creating the code — it’s making the output actually look good.
«Most vibe coding tools stop at functional — generating output that looks the same as everyone else’s,» Canva states in its announcement. «You might get a working prototype, but making it actually look like yours requires a complex editing surface, a separate design tool, a developer, or endless back-and-forth prompting that rarely lands where you want it.”
Danny Wu, Canva’s Head of AI Products, framed the product’s positioning in stark terms during an exclusive interview with VentureBeat ahead of the launch.
«We are deliberately targeting non-technical users,» Wu said. «Canva Code isn’t a tool we’re building for developers. What we’re trying to do is bring the power of AI coding — and really lightweight coding — into the Canva platform, while answering our users’ requests for more interactivity, more customization, and more flexibility, from websites to interactive presentations.»
Canva Code 2.0 brings drag-and-drop editing, HTML import, and 75% faster generation to AI-built websites
The update introduces several capabilities designed to collapse the distance between generating code and publishing a polished interactive experience. Users can now create Canva Code projects directly inside other design projects — embedding interactive elements within a whiteboard, presentation deck, or standalone page. Canva has also added more than 50 new templates specifically designed for interactive designs, along with the ability to import raw HTML files from other AI coding tools and convert them into editable Canva designs.
The performance improvements are significant. Canva says it has reduced average code generation time by 75 percent and cut the median time from initial prompt to a published site by 30 percent. The company also reports that integrating Canva Code into the broader Canva editor — allowing users to treat coded outputs like any other design element — has increased active Code users by 25 percent.
Perhaps the most distinctive feature is the editing experience itself. Unlike most AI coding platforms, which require users to re-prompt or modify raw code to make visual changes, Canva Code 2.0 lets users click directly into generated elements to change text, drag and drop images from Canva’s built-in library of over 120 million templates and assets, update colors and fonts through a familiar toolbar, or select a specific element and refine it through conversational AI. Every output is fully interactive and automatically adapts to different screen sizes, with a built-in mobile preview.
Wu demonstrated the drag-and-drop editing during the interview, showing how a generated conference website could be modified in real time — swapping in photos, changing fonts to branded alternatives, and editing text directly on the canvas. «The key differentiator with Canva Code is the editability and the kindness of the outputs it generates,» he said, though he noted one current limitation: «We don’t support moving elements around. You still have to re-prompt for that.»
How Canva plans to compete with Lovable, Replit, and Bolt in the booming AI app builder market
Canva’s entry into vibe coding at this scale arrives at a pivotal moment for the category. According to market research published by Luminix AI in May 2026, the vibe coding and AI app builder market has reached an estimated $4.7 billion in 2026, with projections pointing toward $12.3 billion by 2027 at roughly 38 percent compound annual growth. The research also estimates that AI-generated code now comprises approximately 41 percent of all code written globally — a figure that would have seemed inconceivable even two years ago.
The competitive landscape has grown ferocious. Lovable, which focuses on conversational, design-forward app generation for non-technical founders, has achieved what may be the fastest revenue ramp in the category’s history — reportedly reaching approximately $400 million in annual recurring revenue by early 2026, according to Luminix’s analysis. Replit, which transformed its browser-based IDE into a full vibe-coding engine through successive AI agent releases, has tripled its valuation to $9 billion and is targeting $1 billion in run-rate revenue by the end of 2026, per the same report. Bolt.new, which runs a full Node.js environment entirely in the browser, scaled from $4 million to $40 million in ARR within months of launching.
And then there is Canva, which brings something none of those platforms possess: a quarter-billion-user design ecosystem where brands, teams, and individuals already store their visual identities, collaborate on projects, and publish content.
Wu positioned Canva Code not as a direct competitor to these developer-focused tools but as something that fills a gap none of them have addressed. «A lot of the requests that we have been getting and the usage we’re seeing is actually with using Canva Code not necessarily as just one artifact, but as part of an overall design, the visual communication they’re trying to tell,» Wu said. «Like when you have a sales deck, you’re able to add a calculator, you’re able to add a visualizer of what exactly your product does. That’s something where an interactive slide can be worth a thousand pictures.»
Why Canva’s HTML import feature could turn it into a ‘finishing layer’ for every AI coding tool
One of the most strategically interesting features in Canva Code 2.0 is its HTML import capability, which allows users to take code generated by any AI tool — including ChatGPT, Claude, Lovable, or Bolt — and bring it into Canva as a fully editable design. The implication is unmistakable: Canva is positioning itself as the place where AI-generated code gets its finishing touches, regardless of where it was originally created.
When asked directly whether this amounts to positioning Canva as a «finishing layer on top of vibe coding,» Wu offered a diplomatic but revealing response. «It’s really a continuation of our goal to make all design as easy as possible,» he said. «We’ve supported importing PDFs and translating them into docs, importing PowerPoint files — so in one way, it’s an expansion of that. But in another way, it’s really just listening to what our users want and making Canva both the most useful and the most compatible platform.”
He paused, then added: «It’s not that we’re deliberately positioning ourselves as a specific layer, say like a finishing layer after vibe coding. We just really want to make our platform the most accessible and the most pluggable.»
That language — «most pluggable» — suggests a platform strategy that doesn’t require Canva to win the AI code generation race outright. If Canva becomes the default destination for making AI-generated code look professional and on-brand, it captures value from the entire category regardless of which code generation engine users prefer. The strategy also echoes the broader import capabilities that already allow Canva to ingest PowerPoint decks and PDFs from competing platforms, gradually pulling users deeper into the Canva ecosystem without demanding they abandon existing workflows.
What Canva Code can build — and where Danny Wu says it hits its limits
Wu was notably candid about the product’s boundaries — a refreshing departure from the typical Silicon Valley product launch. «Canva Code is great for anything that works as a front-end app, and it’s especially good when you want to leverage data, data submissions, and interactivity at small to medium scale,» he said. «I’ll be honest about the limitations. Canva Code is probably not going to be suitable if you’re trying to build a website with complex backends, or if you’re handling hundreds of thousands of visitors per day.»
This candor effectively draws a line between Canva Code and the more ambitious platforms in the space. While Lovable and Replit are pushing toward full-stack application development — complete with databases, authentication, and production-grade hosting — Canva is deliberately limiting its scope to interactive front-end experiences at modest scale. The question is whether that’s a strategic weakness or a disciplined focus. For the teachers, small business owners, and marketing teams that make up the bulk of Canva’s user base, complex backends and high-traffic scalability are irrelevant concerns. What matters is whether they can create an interactive event page, a property listing website, or a classroom hub that looks professional and works on mobile — without hiring a developer or learning a new tool.
When asked about the AI models powering Canva Code, Wu confirmed the company uses a combination of proprietary and third-party models, including those from OpenAI and Anthropic, but declined to specify the exact mix. «We don’t share the exact mix, and it does change over time,» he said. «We also route differently depending on what you’re asking for and which model family we think is best for handling certain requests.»
Canva’s AI acquisition spree — from Affinity to Leonardo.ai — now powers its vibe coding push
Canva’s broader AI infrastructure has been significantly bolstered by an acquisition strategy that has accelerated over the past two years. In March 2024, the company acquired Affinity, the British creative software suite popular with Mac users, in a deal that Bloomberg reported was valued at «several hundred million pounds.» Canva at the time positioned the deal as a way to compete with Adobe’s flagship products — Illustrator, Photoshop, and InDesign — by gaining ownership of Affinity’s Designer, Photo, and Publisher applications.
Just four months later, Canva acquired Leonardo.ai, an Australian generative AI startup with over 19 million registered users and more than a billion images generated. Canva co-founder Cameron Adams said at the time that Leonardo.ai’s technology would be integrated into Canva’s Magic Studio generative AI suite.
Together with these acquisitions, Canva Code is the company’s attempt to layer interactive, code-driven capabilities on top of a visual design platform that has already been enhanced by professional-grade design tools and generative AI models. The company reports over 32 billion uses of its AI products to date — a staggering figure that underscores how deeply AI is now woven into everyday Canva workflows, even for users who may not think of themselves as using artificial intelligence.
Six million sites published, but Canva’s retention data remains an open question
Canva’s announcement highlights an impressive traction metric: users have created and published more than six million websites using Canva Code since the feature was first introduced a year ago. But the number deserves scrutiny.
Wu clarified in the interview that the six million figure represents published websites over the past year — meaning sites that were either made public or shared via password-protected or private links. «They may have published publicly, or behind a password, or as a private link. But that’s the number of published websites,» he said.
When asked about active retention — how many of those sites are still live and being maintained — Wu acknowledged the gap in his data. This is a meaningful distinction. In the vibe coding market, raw creation numbers can be misleading because the barrier to generating a site is so low. The more telling metric — which Canva does not yet provide — would be how many of those six million sites receive regular traffic or have been updated after initial publication.
The early use cases, however, suggest genuine utility beyond novelty. Educators and school administrators are using Canva Code to build classroom hubs, with one teacher creating bespoke webpages for each of their classrooms to keep students and parents updated on announcements. Small businesses, like Alt Marketing School, have built mini apps for fundraising training and interactive roadmaps for their members. For World Book Day, 50 readers created educational games across different subjects, complete with pedagogical guides for classroom use.
Canva Code pricing, data governance, and what enterprise customers need to know
Canva Code 2.0 is available across all of Canva’s pricing tiers, including its free plan — a notable decision given that competitors like Lovable, Bolt, and Replit reserve their most capable features for paid subscribers. «As you go from, say, free to pro to business to enterprise, you would get more AI credits and be able to have higher usage of Canva Code,» Wu said. «But it is available and it is usable — even free Canva accounts as well as education and not-for-profit accounts.»
This credit-based approach mirrors the pricing evolution happening across the entire vibe coding category, where platforms have converged on token or credit systems that meter AI generation capacity rather than gating features behind subscription tiers. The difference is that Canva’s free tier serves as an acquisition funnel for a much larger design platform, not just for the coding feature itself.
For the institutional customers Canva increasingly courts — school districts, real estate brokerages, enterprise marketing teams — data governance is a threshold concern. Wu addressed this directly. «All users and customers have full control over how their data is used,» he said. «They can choose whether their prompts and data are used for AI training in the settings. For businesses and enterprises, team admins can manage this at the organizational level and guarantee that their inputs, content, and outputs won’t be used for training.» This opt-out approach reflects a lesson the broader industry has learned the hard way. As The Verge reported when Canva acquired Leonardo.ai, Adobe suffered significant backlash over a policy update regarding user data and AI model training — a controversy Canva appears keen to avoid.
Canva’s long-term vision: closing the gap between imagination and what non-technical users can actually build
When asked where Canva Code fits into the company’s long-term trajectory — and whether Canva is building toward a full-stack app development platform — Wu steered the conversation back to the company’s core audience.
«A huge part of it is reducing the gap between your imagination and what’s possible, especially for everyday users — people who don’t have a lot of time,» he said. «They don’t have time to figure out deploys or MCPs or APIs. They just want to design more interactive and more dynamic communication.»
He pointed to the rapid improvement in AI model capabilities as a key accelerant. «The kind of things you can create today in one shot — like a 3D visualization of a solar system — you really couldn’t have trusted the output a year ago. But today, you have a really high success rate.»
Whether Canva Code becomes a durable product category or a feature that gets absorbed into the platform’s broader AI workflow will depend on how quickly the company can close the gap between its current front-end focus and the full-stack capabilities that increasingly define the competition. Lovable is shipping Supabase-backed apps with authentication and databases built in. Replit’s agents can execute autonomous long-running builds. Bolt.new runs entire Node.js environments in a browser tab. These are fundamentally different ambitions than making a conference landing page look good.
But Canva has never won by matching the technical depth of its competitors. A decade ago, it didn’t try to out-feature Adobe — it made design accessible to the 99 percent of people who would never open Photoshop. Now, in a vibe coding market where every tool can generate a working prototype from a prompt, Canva is making the same wager it made in 2012: that for most people, the hardest part was never the building. It was making it look like it came from you.
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