Locofy

Locofy is a design-to-code platform that converts Figma, Adobe XD, and Penpot files into front-end code for React, Next.js, React Native, Flutter, Vue, Angular, and plain HTML/CSS. The company calls its underlying engine a Large Design Model (LDM), trained on design patterns rather than general text, and pairs it with fine-tuned LLMs to produce component-level output.

Two conversion modes ship today: Locofy Lightning for one-click AI conversion, and Locofy Classic for step-by-step conversion with manual tagging. A newer product, UIPro, targets professional developers with a streamlined Figma-to-code flow built for agentic handoff. Around mid-2026 Locofy added a Figma-to-Cursor/Claude Code agentic layer and an MCP server, positioning itself as the connective layer between a Figma file and an AI coding agent rather than a code generator that stops at export.

Locofy is a Singapore-based company founded in 2021 by Honey Mittal and Sohaib Muhammad. It has raised roughly $7.3 to $7.5 million from investors including Accel, Golden Gate Ventures, and Northstar Ventures.

What it actually is

Locofy sits between a design file and a code repository. A designer or developer runs the Locofy plugin inside Figma (or Adobe XD, or Penpot), and the underlying Large Design Model reads the layer structure, applies heuristics for spacing and responsiveness, and outputs component-based code in the target framework. Locofy Lightning does this in one click; Locofy Classic lets a developer manually tag components and interactions first for tighter control over the output.

server lets a converted design flow directly into an AI coding assistant. According to Locofy’s own positioning, it acts as “the agentic frontend layer between Figma and Cursor & Claude,” combining its design-aware models with the target LLM so the generated code can be immediately refined, extended, or wired to a backend inside the coding tool a developer already uses.

UIPro is the newest product line, aimed specifically at professional developers who already hold a Figma seat and want the fastest path from design to clean, editable code without Locofy’s older manual-tagging workflow.

When to pick Locofy

• You have a real Figma, Adobe XD, or Penpot file to convert. Locofy needs a structured design file as input; it is not a text-to-app generator like v0 or Bolt.
• You want component-level code you can actually read and edit. Independent side-by-side testing rates Locofy’s output structure above Anima’s literal, flat HTML translation.
• Your team already works in Cursor or Claude Code. The MCP server and agentic layer route converted designs straight into those tools for the next round of edits.
• You need React Native or Flutter output from a design file, a framework combination fewer design-to-code competitors cover well.
• You are an agency doing repeat handoff work. The Pro annual plan’s lower per-token rate rewards frequent conversions.

When to pick something else

• You want a truly free or open-source path: design-to-code plugins with no card requirement, or hand-coding with a general AI assistant, cost less if your volume is low.
• You want a text-to-app builder with no design file required: v0 or Bolt generate full-stack apps from a prompt rather than requiring a Figma source.
• You want AI-native design generation, not conversion: Google Stitch generates UI from prompts inside an AI-native canvas.
• You want live, publishable sites rather than exported components: Framer AI builds and hosts the site itself.
• You want the design tool’s own native AI, staying entirely inside Figma: Figma has added first-party AI features that reduce the need for a third-party export plugin for some workflows.
• You want the strongest general-purpose coding agent and are willing to build the UI by hand or prompt: Cursor remains the default AI-native IDE for teams not starting from a design file.

Pricing

Pricing reconstructed 2026-07-02 from Locofy’s pricing page and cross-checked against independent trackers, because the live pricing page did not fully resolve on direct fetch. Treat exact figures as medium-to-low confidence and reconfirm at checkout before committing.

LDMtokens are consumed per design conversion; more complex, multi-frame designs use more tokens. All paid plans reportedly support unlimited teams, collaborators, and projects, with the token pool as the actual usage constraint. New users get a one-time free token allowance to test the plugin, but ongoing use requires a paid plan or pay-as-you-go top-up, and a card is required to activate the plugin even at the free trial stage.

Against the alternatives