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Canva Code 2.0 adds visual editing, HTML imports, real-time collaboration
Canva today unveiled Canva Code 2.0, an AI-powered vibe coding platform that lets users build and visually edit websites, apps, and interactive experiences. Here are the details. 'Vibe code websites, apps and interactive experiences, then edit like a Canva design' A few months ago, Canva announced Canva AI 2.0, a unified conversational interface for design, automation, and content creation, based on the company's Proteus, Lucid Origin, and I2V generative image and video models. Today, the company is expanding its AI-powered coding tools with Canva Code 2.0, which promises to make it "simple to design interactive experiences that are engaging, easy to build and customized to your brand," through "new features that combine creative control with the latest models for AI-powered coding." Canva Code 2.0 lets users start with a prompt, choose from more than 50 new templates, or import HTML to continue working on pages created with other AI platforms and assistants. It also supports real-time collaboration between team members, It also integrates seamlessly with Canva's other tools, giving users greater creative control and making it easier to keep projects consistent with their brand. Here's Canva: Canva Code sits inside the same intuitive editor where you already house your brand kit. You can manually tweak your creation directly in the Canva Editor like any other design, or use Canva AI to prompt edits. It's easy to swap in your own images by dragging directly from Canva's built-in library, update colors and fonts through the familiar toolbar, click into any section to retype text directly, or select a specific element to refine with conversational AI. The result is an interactive experience that works and looks like it came from you. When the time comes to publish the work, Canva Code 2.0 lets users either connect a custom domain or publish it to a free Canva domain. The company says outputs are fully interactive, automatically adapt to different screen sizes, and can be previewed on mobile before going live. To learn more about Canva Code 2.0, follow this link. Worth checking out on Amazon
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Canva wants you to have full control over the design - Code 2.0 just does the heavy lifting for you
* Canva Code 2.0 is now free for everyone following a successful public preview * It can generate editable designs from simple prompts and existing creations * Users can create websites, apps and games - not just flyers and ads Initially teased at Canva's annual Create conference earlier this year and available only to the first million users who cracked an easter egg, the Australian software vendor has officially made Canva Code 2.0 generally available across the board, including to free users, bringing AI automation and vibe coding-like abilities to the suite. In short, Canva Code 2.0's purpose is to lower the barrier to design by giving workers who might either lack the creative vision or the skills to experiment in more complex software access to more personal designs. At Create in April 2026, the company criticized existing AI tools for being AI-first and design-second - making even the smallest tweaks required users to submit another prompt, which would generate an entirely new result that wouldn't always mirror the former generation. Canva Code 2.0 does the heavy lifting so the human can do all the fun designing Canva Code 2.0 is being positioned as a new, extra layer between the worker and the design, acting as a colleague that puts together a complex design from natural language prompts just as any other human colleague would do. The result is that users can directly edit individual components themselves instead of having to start again, letting them quickly see how changing colors, repositioning elements and tweaking fonts could affect the end result. "With the barrier to generating code lowered, the value has shifted to visual control: what you build needs to be distinctive and look like your brand or vision," Head of AI Products Danny Wu told TechRadar Pro. According to Canva, it's not all about flyers and social media graphics. The tool spans the entire breadth of the Canva suite, including creating websites and landing pages, learning and classroom hubs, and games and quizzes. But Canva also knows that many projects already exist elsewhere, and some are even AI-generated already, hence the ability to import raw HTML code and AI-generated graphics straight into Canva. The tool automatically detects elements and layers to turn it into a fully editable project straight away (via a specific layered object intelligence feature), allowing users to run with their existing work. Since Canva Code was first introduced, the company claims to have supported the building of more than six million coded sites, proving that vibe coding is far more profound than just serving software developers. By putting Canva Code at the heart of the UI, rather than shipping it as a separate tool, we're told that active Code users have already risen by 25%. The Aussie software company has also been making improvements under the hood, including reducing the average Code generation time by 75%. "We're combining the best AI models and the intuitive Canva editor to help anyone bring their ideas to life without friction, in the same workflow, without needing technical skills or new tools," Wu added. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.
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Canva launches Code 2.0, offering AI website building to every user -- including free accounts
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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Canva Code 2.0 just made vibe coding way less intimidating for everyone
Coding used to be reserved for developers who spent years learning complex languages. That has slowly changed with vibe coding, which lets you build apps and websites using simple, plain-language prompts. The problem is that most of these tools still feel intimidating for regular folks, as they still need to understand the code to make any meaningful changes. If not, everything you make tends to look the same. Recommended Videos Canva wants to fix that. Today, the company is rolling out Canva Code 2.0 to its entire community, combining AI-powered coding with its design tools, giving users an easy way to customize their apps and websites. What can you build with it? You can start from a simple prompt, pick from over 50 new templates, or import your existing HTML if you built something elsewhere. Once you have a starting point, you can create right inside your other Canva projects, whether that's a page, a whiteboard, or a deck. The best part is you are not stuck with whatever the AI gives you. You can drag in your own photos, tweak colors and fonts from the familiar toolbar, or click into any section and retype the text yourself. If you would rather chat your way through edits, Canva AI can handle that too. Why does this matter? Here's the thing about most vibe coding tools: most of them generate a working prototype that looks exactly like everything else people are churning out. Canva Code takes a different route by living right inside the editor where your brand kit already sits, so what you make looks like you actually made it. You can also build alongside your team in real time, drop comments straight in the editor, and send your creation off wherever it needs to go when you are done. Grab a custom domain in Canva, go with a free one, or keep it private within your organization. With Canva Code 2.0, you are not only using vibe coding but also the design tools inside Canva to create something unique for your brand, which most vibe coding tools cannot do. For creators who care as much about how something looks as how it works, that's a compelling advantage.
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You Can Now Use Vibe Coding to Build Your Website Using Canva Code 2.0
* Canva has introduced more than 50 Canva Code templates * Canva Code can be created inside other design projects * Canva Code 2.0 combines AI-powered code generation Canva on Tuesday took the wraps off Code 2.0, its latest AI-powered tool that allows users to build and edit websites, apps, and web experiences using text prompts. This vibe coding tool offers more than 50 new Canva Code templates for designs, and users can personalize it with photos and graphics. Canva Code 2.0 can be accessed by free, pro, business, enterprise, and education users. It also supports an HTML Import feature, and it lets users access the visual library or their own uploaded media. Canva Code 2.0 Is Also Available to Free Users The company announced that Canva Code 2.0 is now available to all users, and the new AI-powered app and website creation tool can be accessed by Free, Pro, Business, Enterprise, and Education users. It is available directly within existing design projects, including presentations, whiteboards, and documents. The update integrates AI coding directly into Canva's editor. Users can manually tweak their projects in the editor or use Canva AI to prompt edits. Canva is offering over 50 Canva Code templates for interactive designs, and users can customise them using Canva's library or their own uploaded media. The HTML import tool lets users bring projects created with other AI assistants into Canva as editable designs. This allows creators to continue working on existing projects without having to recreate them from scratch. Additionally, users can select a specific element and prompt Canva AI to refine or edit that piece. Canva says Code 2.0 combines AI-powered code generation and lets users swap in their own images by dragging directly from Canva's library, update colours and fonts through the toolbar, click into any section to retype text directly, or select a specific element to refine with conversational AI. The company says teams can collaboratively build, review, and comment on interactive designs in real-time with Canva Code 2.0. After completion, the creations can automatically adapt to different screen sizes. Users can preview how it will look on mobile and publish their work to a free Canva domain, connect a custom domain, or share it within their organisation using a single sign-on.
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Canva has launched Code 2.0, an AI-powered tool that brings vibe coding to its entire user base, including free accounts. The platform lets users build and visually edit websites, apps, and interactive experiences using plain-language prompts, then customize them like any Canva design. With HTML import, real-time collaboration, and 75% faster generation times, Canva is competing with Lovable and Replit in the rapidly growing AI website building market.
Canva unveiled Canva Code 2.0 on Tuesday, making its AI-powered tool available to all 265 million monthly users across every pricing tier, including free accounts
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. The platform enables users to build and visually edit websites, apps, and interactive experiences through vibe coding—a method that uses plain-language prompts instead of traditional programming1
. This marks Canva's most aggressive push into the fast-growing vibe coding market, which reached an estimated $4.7 billion in 2026 and is projected to hit $12.3 billion by 2027 at roughly 38 percent compound annual growth .
Source: Gadgets 360
Canva Code 2.0 deliberately targets non-technical users, distinguishing itself from competitors like Lovable, Replit, and Bolt.new by prioritizing design and editability over pure code generation
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. Danny Wu, Canva's Head of AI Products, explained that the tool aims to "bring the power of AI coding—and really lightweight coding—into the Canva platform" while addressing user requests for more interactivity and customization3
. The platform solves a critical problem: while most vibe coding tools generate functional prototypes, they often produce generic-looking outputs that require complex editing surfaces or endless prompting to customize3
. By integrating directly into Canva's editor where brand kits already exist, the tool helps users create interactive websites that maintain brand consistency1
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Source: VentureBeat
The platform introduces several capabilities designed to democratize design for workers who lack creative vision or technical skills
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. Users can start with a prompt, choose from more than 50 new interactive templates, or use HTML import to bring projects created with other AI assistants directly into Canva as editable designs5
. The HTML import feature automatically detects elements and layers through a specific layered object intelligence feature, allowing users to continue working on existing projects without recreating them from scratch2
. Teams can leverage real-time collaboration to build, review, and comment on interactive designs together5
. Users can swap images by dragging directly from Canva's built-in library of over 120 million templates and assets, update colors and fonts through the toolbar, or click into any section to retype text directly3
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Canva has reduced average code generation time by 75 percent and cut the median time from initial prompt to a published site by 30 percent
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. Since Canva Code was first introduced, the company claims to have supported building more than six million coded sites, and by integrating Code at the heart of the UI rather than as a separate tool, active Code users have risen by 25 percent2
. The platform automatically adapts outputs to different screen sizes with built-in mobile preview capabilities3
. Users can publish to a free Canva domain, connect a custom domain, or share within their organization4
. AI-generated code now comprises approximately 41 percent of all code written globally, with Lovable reportedly reaching approximately $400 million in annual recurring revenue by early 20263
. For creators who prioritize both functionality and brand-aligned aesthetics, Canva's approach offers a compelling alternative in the competitive AI website building landscape, though the platform currently doesn't support moving elements around—users still need to re-prompt for repositioning3
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