Screenshot to Code vs Greptile

Detailed side-by-side comparison to help you choose the right tool

Screenshot to Code

🟡Low Code

AI Coding

Paste a screenshot, get production-ready code — open-source tool and hosted service that converts UI mockups to working frontends.

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Starting Price

$0

Greptile

🔴Developer

AI Coding

AI code review agent that reads your entire codebase, comments on every PR with senior-engineer feedback, and learns your team's conventions.

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Starting Price

$0

Feature Comparison

Scroll horizontally to compare details.

FeatureScreenshot to CodeGreptile
CategoryAI CodingAI Coding
Pricing Plans3 listed plans3 listed plans
Starting Price$0$0
Key Features
  • • Screenshot, Figma frame or short video → working frontend code
  • • Output in HTML/Tailwind, React, Vue, Svelte, Ionic or React Native
  • • Vision support for Claude 4.6, GPT-5 and Gemini 2.5
  • • AI PR review grounded in full-repo context
  • • Inline comments and summary on every PR
  • • Learns from accepted vs rejected feedback

Screenshot to Code - Pros & Cons

Pros

  • ✓Genuinely removes the tedious first 60% of markup from a design reference
  • ✓Self-hostable with your own API keys if you already pay for Claude or GPT
  • ✓Stack-agnostic across HTML/Tailwind, React, Vue, Svelte, Ionic and React Native
  • ✓Live preview with natural-language edits beats the round-trip of generate-then-paste

Cons

  • ✗Output still needs accessibility, semantics and responsive review before shipping
  • ✗Complex stateful components rarely come back ready — it's scaffolding, not a senior engineer
  • ✗Hosted plan bills against model usage so heavy usage can outrun the subscription value

Greptile - Pros & Cons

Pros

  • ✓Comments are grounded in full-repo context, not isolated diffs
  • ✓Learns from accepted vs rejected feedback over time
  • ✓Codebase chat lets new hires ask questions instead of bothering teammates
  • ✓Generous free tier for individuals and OSS projects
  • ✓Supports GitHub, GitLab and Bitbucket

Cons

  • ✗Initial indexing of large monorepos takes time
  • ✗Quality of suggestions still depends heavily on prompt context
  • ✗Some teams find the volume of comments overwhelming on big PRs
  • ✗Self-hosted indexing only on the Enterprise tier

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