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Locofy vs SuperCompress

LocofySuperCompress

Bottom line: Locofy for front-end developers and design engineers; SuperCompress for developers cutting LLM API costs.

LocofyLocofy

Turn Figma and Adobe XD designs into front-end code with AI

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SuperCompressSuperCompress

Query-aware prompt compression that cuts LLM input tokens by roughly 60% before inference.

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Votes00
PricingPaidFreemium
CategoryCodingCoding
Tags
design-to-codefigmafront-endreactdeveloper-tools
llmdeveloper-toolscost-optimization
Best for
  • Front-end developers and design engineers
  • Teams with clean, component-based Figma files
  • Speeding up UI implementation
  • Developers cutting LLM API costs
  • RAG pipelines with oversized retrieved context
  • Teams running coding agents
Pros
  • Automates tedious hand-coding of UI from designs
  • Supports popular frameworks (React, Next.js, React Native)
  • Works inside Figma and Adobe XD
  • Can significantly speed up front-end work on clean designs
  • Investment in dedicated conversion AI models
  • Open source under the MIT license and free to self-host
  • Genuine free tier: 1M tokens/month with no credit card
  • Cheap
  • transparent usage pricing at $0.30 per 1M tokens
  • Runs on CPU with no GPU or model download (~60ms per compression)
Cons
  • Output quality depends heavily on clean, well-structured designs
  • Not a replacement for developers; code needs refinement
  • Token-based pricing is hard to estimate for occasional use
  • Best value requires steady, higher-volume usage
  • Learning curve to tag and map designs effectively
  • Early-stage project with a small team and limited independent track record
  • Headline compression (~58-82%) and >98% retention figures are vendor-reported and benchmark-dependent
  • Compression is lossy
  • so aggressive settings can drop context that later turns out to matter
  • Text-only: it does not compress image or audio context

Comparison generated from each tool's listing. Add or remove tools above to change it.