Choose Anima if your team wants polished visual fidelity and quick prototype-to-code handoff; choose Locofy if developers want more control over components, props, and production-style React or Next.js output. Both tools can turn Figma designs into usable front-end code, but they solve slightly different problems. Anima feels friendlier for designers who need clean previews and responsive exports. Locofy feels closer to a developer workflow, especially when a design system already exists.
TLDR: Anima is best for design teams that need fast, accurate HTML, React, or Vue exports from Figma, Sketch, or Adobe XD. Locofy is stronger for product teams building with React, Next.js, and reusable components. For example, a 3-page SaaS dashboard that might take 18 hours to hand-code could drop to 10 or 12 hours with either tool, but only if the Figma file is clean. Expect roughly 30% to 45% time savings on well-structured screens, not magic one-click production code.
What these tools actually do
Design-to-code tools promise a tempting idea: take your visual design and convert it into front-end code. No messy handoff. No guessing padding values. No developer squinting at Figma comments at 11 p.m.
In real use, the result sits somewhere between starter code and near-production UI. Anima and Locofy both inspect layers, spacing, styles, frames, and components. Then they generate code that developers can edit, connect to data, and ship.
That sounds simple. It is not. A perfect-looking Figma file can still produce clunky code if layers are unnamed, auto layout is missing, or components are built as flat visual art. The tool is only as good as the design structure behind it.
Anima: best for visual fidelity and fast handoff
Anima has been around long enough to feel mature. It works with popular design tools such as Figma, Sketch, and Adobe XD, though most teams now use it mainly with Figma. Its core strength is turning designs into responsive prototypes and exportable code with minimal setup.
Anima is especially useful when designers want to create high-fidelity prototypes that feel closer to a real site. You can add links, inputs, hover states, breakpoints, and responsive rules. Then the same work can become exported code in formats such as HTML, CSS, React, or Vue, depending on the plan and setup.
Where Anima shines:
- Visual accuracy: It usually keeps layouts close to the original design.
- Responsive behavior: Breakpoints and stacked layouts are easier to define than in many older export tools.
- Designer-friendly flow: Non-developers can create web-like prototypes without writing code.
- Client previews: Stakeholders can click through screens and understand the idea quickly.
The frustration comes when you expect the exported code to match your engineering standards right away. Honestly, it feels like Anima sometimes gives you beautiful code-shaped material rather than code your team wants to maintain for two years. Developers may still need to rename elements, separate components, clean CSS, and wire real state.
Locofy: best for components and developer intent
Locofy is more focused on helping teams convert designs into front-end code that maps better to real app structures. It works with Figma and supports frameworks such as React, Next.js, and React Native in many workflows. It also pays attention to components, props, reusable patterns, and code structure.
The standout idea is tagging. You mark parts of the design as buttons, inputs, lists, images, cards, and other UI elements. Locofy then has more context when generating code. That extra setup takes time, but it can lead to cleaner output.
Where Locofy shines:
- Framework focus: React and Next.js teams get a more familiar starting point.
- Component thinking: Designs can be mapped into reusable UI blocks.
- Props and interactions: Developers can prepare elements for real app logic sooner.
- Design system support: It works better when your Figma components are already organized.
The catch is that Locofy asks for more decisions upfront. Tagging screens, confirming layouts, and adjusting behavior can feel slow on the first pass. If your team is in a rush, those extra clicks can be annoying. Still, that time often pays back when the exported files feel less like a screenshot translated into divs.
Code quality: who wins?
Neither tool replaces a front-end engineer. That needs to be said plainly. Both can reduce repetitive work, but neither understands product context like a developer does.
Anima tends to win on appearance. It can produce pages that look very close to the design. This is great for landing pages, marketing sites, investor demos, and MVP screens. The issue is maintainability. You may see extra wrappers, fixed dimensions, or styling that needs cleanup.
Locofy tends to win on app structure. Its code can be easier to shape into a real product, especially when the design uses proper components and auto layout. The output still needs review, but it often starts closer to how developers think.
If your goal is pixel matching, Anima has the edge. If your goal is component-based application code, Locofy is often the better pick.
Ease of use for designers
Anima is easier for designers to understand quickly. The interface feels more visual. You can preview, adjust responsiveness, and share results without learning too many developer terms. A designer working on a product landing page can get value in the first afternoon.
Locofy has a steeper learning curve. It asks users to think about code structure, elements, tags, and framework output. For designers who do not work closely with developers, that can feel heavy. For design engineers, it feels useful.
Put simply: Anima feels like a design tool with code export. Locofy feels like a bridge between Figma and a front-end repository.
Best use cases for Anima
- Landing pages: Great when the layout matters more than complex logic.
- Clickable client demos: Useful for agencies showing realistic prototypes.
- Portfolio and marketing sites: Strong visual output with less setup.
- Design-led teams: Helpful when developers join later in the process.
Anima is a good fit when speed and presentation matter most. If a startup needs to show a polished pricing page by Friday, it can save hours. It may not create the final version, but it can create a convincing first build.
Best use cases for Locofy
- SaaS dashboards: Good for repeated cards, tables, filters, and panels.
- React or Next.js apps: Better when the final product will use those frameworks.
- Design systems: Stronger when components are already named and reused.
- Developer handoff: Useful when engineers want structured output instead of static markup.
Locofy works best when product and engineering teams agree on naming, components, and layout rules before export. Skip that prep and the tool feels less impressive. Do the prep and the result can be a serious time saver.
Pricing and team fit
Pricing changes often, so compare current plans before committing. In general, both tools offer tiers aimed at individuals, teams, and larger companies. The real cost is not only the subscription. It is the setup time, team training, and cleanup work after export.
A solo designer may get more immediate value from Anima. A front-end team may prefer Locofy because it supports a more technical handoff. Agencies may even use both: Anima for client previews, Locofy for app screens that need serious development.
Common mistakes that ruin output
Design-to-code tools punish messy files. If your Figma frame is a pile of unnamed rectangles, expect pain.
- Bad layer names: “Rectangle 246” is not helpful in generated code.
- No auto layout: Responsiveness becomes harder to export cleanly.
- Flattened components: Buttons and cards should be reusable, not random groups.
- Inconsistent spacing: Code will reflect the mess.
- Unclear states: Hover, error, loading, and empty states need proper design.
Clean design files make both tools better. This is not glamorous work, but it matters. A tidy Figma file can be the difference between a useful export and a folder nobody wants to open.
Final verdict
Anima is the better choice for fast visual output, realistic prototypes, and design-led web pages. It is easier to pick up and strong at preserving the look of a design. Use it when the first goal is speed, polish, and stakeholder approval.
Locofy is the better choice for teams that care about reusable front-end structure. It takes more setup, but it suits React and Next.js workflows well. Use it when developers will continue building on top of the generated code.
The smartest choice depends on who owns the next step. If designers own the handoff, Anima feels smoother. If developers own the build, Locofy gives them more to work with. Either way, treat the output as a head start, not a finished product. That mindset saves disappointment, and probably a few tense Slack threads too.