Compare workflows
Figma to Code vs Locofy
Locofy uses a Large Design Model and token-based workflow. Figma to Code avoids models, accounts and remote processing.
The short answer
An AI-assisted frontend workflow is the priority, and optimizing designs for its model and managing a hosted account are acceptable.
Zero network access, predictable conversion, native output and no usage credits matter more than AI interpretation.
At a glance
Figma to Code vs Locofy Lightning
| Decision | Figma to Code | Locofy |
|---|---|---|
| PricingRelative | FreeUnlimited generations | $$–$$$Token plans through enterpriseCurrent pricing |
| Processing model | Deterministic TypeScript conversion pipeline | Large Design Model-powered conversion |
| Network access | No allowed network domains | Hosted product workflow |
| Usage model | Unlimited, free and open source | LDM token-based plans |
| Best fit | Regulated or offline-constrained teams | Teams seeking model-assisted frontend automation |
Why the gap exists
Privacy and intelligence pull the architecture in opposite directions.
A connected service can send structured design context to models, inspect a repository, map real components and iterate through a prompt. Those are valuable capabilities. They also require an account, infrastructure and a data-processing path.
Figma to Code fixes the boundary at the plugin sandbox. It reads Figma nodes, applies public conversion rules and produces code without calling an external domain. The result is less magical, but easier to approve, understand and repeat.
Keep comparing
Choose the workflow your constraints allow.
No account required
Generate code from a Figma design—privately.
The plugin is free, open source, and cannot send your design to external services.