Screenshot To Code
Convert screenshots to clean code with AI – open-source and self-hostable.
A powerful open-source tool for developers to quickly prototype UI from designs. Ideal for iterating on mockups, not for pixel-perfect production code. Non-technical users may find the API key setup challenging.
- Frontend developers needing to quickly prototype UI from designs
- UI/UX designers converting mockups to code for handoff
- Developers building tools to automate design-to-code workflows
- Rapid prototyping and iteration on visual concepts
- Production-ready pixel-perfect code – expect manual tweaks
- Non-technical users seeking a plug-and-play SaaS tool
- Enterprise teams requiring SLAs or support
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In short
Screenshot To Code — Convert screenshots to clean code with AI – open-source and self-hostable. Best for Frontend developers needing to quickly prototype UI from designs, UI/UX designers converting mockups to code for handoff, Developers building tools to automate design-to-code workflows. Free to use.
Viability Score
How likely is Screenshot To Code to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Convert screenshots to HTML+Tailwind, React+Tailwind, Vue+Tailwind, Bootstrap, Ionic+Tailwind code
- Convert screen recordings to functional prototypes
- Support for Figma designs
- Asset extraction to reuse real logos and images from screenshots
- Image generation via Replicate (z-image-turbo)
- Image editing and background removal via Replicate
- Multiple AI model support: Gemini, GPT, Claude
- Video mode for screen recordings
- Run locally via Docker or manual setup (FastAPI + React/Vite)
- Hosted version at screenshottocode.com
- Open source with MIT license
- Active community with frequent updates
About Screenshot To Code
Screenshot to Code is an open-source AI tool that turns screenshots, mockups, Figma designs, and screen recordings into functional code. It supports multiple frontend stacks including HTML+Tailwind, React+Tailwind, Vue+Tailwind, Bootstrap, and Ionic+Tailwind. The tool leverages AI models like Gemini, GPT, and Claude to generate accurate code from visual inputs. You can run it locally via Docker or use the hosted version at screenshottocode.com. Features include asset extraction that reuses real logos and images from screenshots, image generation/editing via Replicate, and a video mode for screen recordings. The project has a strong open-source community with over 73,000 GitHub stars and an MIT license. Compared to commercial tools like V0 or Locofy, Screenshot to Code is free and self-hostable, but requires manual API key setup and may need technical expertise for best results.
Behind the Verdict
Screenshot to Code fills a clear gap: rapid prototyping from visual inputs without subscription lock-in. For frontend developers, the ability to convert a screenshot into a working Tailwind or React component in seconds is genuinely useful. The open-source nature means you can inspect, modify, and extend the code. However, the tool is not a one-click solution – you need to bring your own API keys (OpenAI, Anthropic, Gemini, Replicate) and manage those costs. The generated code is a starting point, not a production finish. Compared to hosted tools like V0 or Locofy, you trade convenience for control and zero subscription fees. Where it bites: if you expect pixel-perfect output or rely on support, you'll be disappointed. Best for developers comfortable with the command line and API management. Not for those who want a ready-made SaaS with no setup.
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Use Cases
- Convert a UI mockup screenshot into a functioning React component in minutes.
- Rapidly prototype a landing page by providing a design image and generating HTML/Tailwind code.
- Recreate a mobile app screen from a recording using AI-generated Vue code.
- Use the tool to generate code from Figma exports for initial development scaffolding.
Limitations
- As an open-source project, there is no formal support or SLA.
- The accuracy of code generation depends on the underlying AI model and the complexity of the input.
- Users may need to manually adjust the generated code for production use.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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