If your team needs production-minded front-end code from Figma, choose Locofy for more control and Anima for faster design handoff and cleaner visual previews. Both tools can save time, but neither removes the need for a developer review. The better choice depends on whether your priority is speed, code structure, framework fit, or collaboration.
TLDR: Anima is stronger when designers want a quick path from Figma screens to responsive prototypes, HTML, React, or Vue code. Locofy is usually better for teams that care about component mapping, React or Next.js structure, and developer workflows. For example, a five-screen SaaS dashboard that takes a developer 12 to 16 hours to rebuild from Figma might be converted into a usable first draft in 2 to 4 hours with Locofy, then cleaned up manually. Expect savings, not magic.
What “design to code” really means
Design-to-code tools convert Figma layers, styles, and layouts into front-end code. That sounds simple. It is not. Figma is a design tool, while code has logic, accessibility rules, reusable components, state, routing, data, and performance concerns.
Anima and Locofy sit in the middle. They read your Figma file, inspect the layout, and generate code that tries to match the design. The result is often useful as a starting point. It is rarely final production code without review.
Honestly, it feels like these tools are marketed as if they replace front-end work. They do not. They reduce repetitive work, especially for landing pages, dashboards, marketing sites, and static screens.
Anima: best for visual fidelity and designer-led workflows
Anima is highly approachable for designers. Its Figma plugin lets users add responsive behavior, links, forms, and breakpoints before exporting code or publishing a preview. This makes it useful for teams that want more than a static mockup but are not ready to involve engineering every time a screen changes.
Anima performs well when the goal is to preserve the look of a design. Visual fidelity is one of its strengths. If the Figma file is well organized, with auto layout, clear naming, and consistent spacing, Anima can create a close match with limited setup.
Typical Anima strengths include:
- Fast previews for internal review and client approval.
- Good visual matching for landing pages and product screens.
- Useful responsive controls inside the Figma workflow.
- Exports for common web formats, including HTML, CSS, React, and Vue in many workflows.
- Designer-friendly setup with a shorter learning curve.
The catch is that the generated code can still feel presentation-heavy. Developers may need to refactor styles, split files into better components, and replace static content with real data. If the design uses messy grouping or absolute positioning, the output can become harder to maintain.
Locofy: best for structured front-end output
Locofy is more developer-oriented. It focuses on tagging design elements, mapping them to code components, setting responsive rules, and exporting to frameworks such as React and Next.js. For teams already building with modern JavaScript frameworks, this can be a major advantage.
Locofy’s workflow asks for more decisions. You may tag buttons, inputs, containers, lists, and reusable patterns. That takes time. Still, it often leads to cleaner output because the tool understands the purpose of more layers.
Typical Locofy strengths include:
- Component-based thinking that fits React and Next.js teams.
- Better control over code structure compared with quick export tools.
- Support for reusable UI patterns when the Figma file is prepared well.
- Developer-friendly export options, including project files that can be edited further.
- Improved handling of responsive behavior when configured with care.
Expect to waste time on setup if your Figma file is sloppy. Locofy rewards discipline. It can punish rushed design files with confusing layers, inconsistent components, and vague grouping. If your team does not already use Figma components and auto layout properly, fix that first.
Code quality: which tool wins?
Locofy usually has the edge for code structure. Its tagging model encourages better component output and makes more sense for teams shipping React or Next.js products. It is not perfect, but it tends to produce code that developers can reason about faster.
Anima often wins on visual output and speed. If a marketing manager needs a landing page preview by the end of the day, Anima may be the easier pick. It is less demanding at the start and more comfortable for design teams.
That said, code quality depends heavily on the source file. A clean Figma file with named frames, auto layout, design tokens, shared components, and consistent spacing will export better in both tools. A messy file will export messy code. No tool fixes poor design hygiene automatically.
Responsive design and breakpoints
Both tools support responsive design, but the experience differs.
Anima makes responsive behavior easier to define visually. Designers can set breakpoints and preview how layouts react. This works well for pages where visual approval matters most.
Locofy gives more control to teams that need framework-ready responsive output. It may take longer to configure, but the result can be easier to adapt in a real codebase. For product teams, that control matters.
A fair rule: choose Anima when the designer owns the responsive prototype. Choose Locofy when developers must extend the responsive code after export.
Collaboration and handoff
Anima is useful when stakeholders need to review designs in a browser-like format. It helps reduce vague feedback such as “this does not feel real.” Clickable, responsive previews give clients and managers a clearer sense of the end result.
Locofy is better suited to handoff between design and engineering. It asks teams to think about components, props, layout roles, and code export earlier. That can reduce rework later, especially in product interfaces with repeated cards, tables, forms, and modal windows.
It drives me crazy when design files use five different button styles that look almost identical. Locofy exposes that problem quickly. Anima may still render the screen nicely, but the code will reflect the inconsistency.
Best use cases for Anima
- Marketing websites that need accurate visual output.
- Landing pages where speed matters more than deep architecture.
- Client previews that need to feel close to the final site.
- Designer-led prototypes with responsive behavior.
- HTML or React drafts that developers will polish later.
Best use cases for Locofy
- React or Next.js applications with reusable components.
- SaaS dashboards with repeated UI patterns.
- Internal tools that need rapid front-end scaffolding.
- Design systems where consistency matters.
- Developer handoff where exported code must be extended.
Pricing and adoption concerns
Pricing changes over time, so teams should check current plans before committing. The better question is not only cost. Ask how much team time each tool saves after training, cleanup, and review.
If Anima saves a designer six hours per landing page but creates three hours of developer cleanup, it may still be worth it. If Locofy takes two extra hours to tag components but saves eight hours in React setup, it may be the smarter choice.
Run a trial with one real Figma file. Not a perfect demo file. Pick a screen your team actually built or plans to build. Measure three things: setup time, export quality, and developer cleanup time.
Final recommendation
Pick Anima if your main goal is quick, accurate visual conversion from Figma to web-ready previews or front-end drafts. It is the better fit for designers, agencies, and teams working on marketing pages or prototypes.
Pick Locofy if your main goal is structured code for React, Next.js, or component-based product development. It asks for more setup, but the output can be more useful for engineering teams.
The serious answer is that neither tool should be treated as a one-click production pipeline. Use them to cut repetitive work, test responsive behavior, and speed up handoff. Then let developers clean, connect, and harden the code before release.
