Screenshot to Code

Screenshot to Code

Abi Raja · Coding

Screenshot to Code is an AI code generator that turns a screenshot, a mockup, a Figma design, or a screen recording into working front-end code. Drop in an image, pick a stack such as HTML with Tailwind, React, or Vue, and it builds a clean first draft of the page. You can convert a screenshot to code in minutes. The tool runs as a hosted app at screenshottocode.com, and the source is open, so you can also self-host it and plug in your own model keys.

Interface preview of Screenshot to Code

About Screenshot to Code

What Is Screenshot to Code

Screenshot to Code is a web tool that reads a picture of a user interface and writes the code to rebuild it. The idea is simple. Instead of measuring pixels and typing out markup by hand, you upload the design and let an AI model handle the translation. It ships as an open-source project on GitHub, with a React and Vite front end and a FastAPI back end, and it powers the official hosted product on screenshottocode.com.

The main problem it solves is the boring part of front-end work. Turning a finished design into a first pass of code takes time, and a lot of that time goes into layout, spacing, and matching colors. Screenshot to Code cuts that first pass down to a few minutes. You still review and clean up the result, but you start from something that renders rather than a blank file. As an AI coding tool, it doesn't replace you. It just removes the grunt work.

The biggest limit is accuracy. AI models do a good job on common layouts and standard components, and a shakier job on dense or unusual interfaces. Complex interactions, real data, and accessibility details are usually left for you to finish. Treat the output as a strong starting point, not a finished product. That's the honest trade-off. You save the tedium, and you pay with cleanup time on the hard parts.

Getting Started

  1. Open screenshottocode.com and sign in, or clone the GitHub repo if you'd rather run it locally.
  2. Upload a screenshot, mockup, or Figma export, or paste a URL to clone a live page.
  3. Choose your output stack, such as HTML with Tailwind, React with Tailwind, Vue, or Bootstrap.
  4. Pick a model if you're on your own API keys, then hit generate and watch the code appear.
  5. Copy the result into your project, tweak the details, and ship it.

Product Information

A quick look at Screenshot to Code's pricing, supported platforms, and performance.

Free PlanYes
Paid Plans$0 - $15/mo
PlatformWeb (hosted), self-hosted (Docker, local)
DeveloperAbi Raja
CategoryCoding
Release DateNov 2023
Latest UpdatedSep 2026
Website Visits23.6K
Website Global Rank1.2M
API AvailabilityN/A

Best for

The users, tasks, and scenarios where this tool fits best.

Users

  • Front-end developers
  • Designers who code a little
  • Product and marketing teams

Tasks

  • Rebuilding a page from a screenshot
  • Turning Figma files into code
  • Cloning a live site's look

Scenarios

  • Early prototyping before design is final
  • Learning a new stack
  • Speed-running repetitive layouts

Key features

Screenshot to Code Conversion

The core feature takes a flat image and returns structured front-end code. You upload a PNG or JPG of any interface, and the tool identifies layout blocks, text, buttons, and images, then writes the markup and styles to match. It works best on clean mockups and standard app screens. Messy screenshots? Those need a second look.

Figma and URL Input

You don't have to start from a static image. Figma designs and a live URL both work as inputs, which means you can pull a real page's structure without sketching it first. This cuts a step for teams that design in Figma or want to rebuild an existing site. Why bother redrawing what already exists?

Multiple Output Stacks

Pick the framework that fits your project. Supported stacks include HTML with Tailwind, plain HTML with CSS, React with Tailwind, Vue with Tailwind, Bootstrap, and Ionic with Tailwind. Seeing the same design in a few stacks is handy when you're deciding which one you actually want to build in. No lock-in either way.

Choice of AI Models

The tool isn't tied to one model. It supports options like Gemini, GPT, and Claude variants, and it can pick a stronger mix when you add more provider keys. If you run it yourself, you bring your own keys, which gives you control over both quality and cost.

Real Asset Extraction

When a Gemini key is available, the tool pulls the actual logos and images out of your screenshot and reuses them, rather than dropping in a gray placeholder. That small detail saves a surprising amount of cleanup on image-heavy pages. Placeholders are a pain to chase down later.

Screen Recording to Prototype

Beyond static images, Screenshot to Code can take a screen recording of a site in action and turn it into a functional prototype. That gives you more than a still page, and it's useful for capturing a flow rather than a single view.

Self-Hosting and Local Runs

The project is open source, so you can clone it, run the backend and frontend locally, and customize it to your own workflow. Teams that can't send designs to a third-party service can keep everything on their own machines. Privacy matters. Full control matters too.

Pros and cons

Pros

  • Turns a design into a working first draft of code in minutes, which saves hours of layout work.
  • Supports several popular front-end stacks, so the output fits different projects.
  • The source is open, so you can self-host it and use your own model keys.
  • Accepts screenshots, Figma files, URLs, and screen recordings, not just one input type.
  • Hands back real extracted assets instead of placeholders when the right model key is set.

Cons

  • Output needs review; complex layouts and interactions often come back imperfect.
  • The hosted version has a paid generation limit, so heavy use means either a plan or your own API keys.
  • Quality depends heavily on the model you choose, which means results can vary from run to run.
  • Best accuracy is on standard screens, while dense or unusual interfaces need more manual fixing.

Frequently asked questions

It reads a screenshot or design and writes front-end code that rebuilds it. You get HTML, React, Vue, or Bootstrap output depending on the stack you pick, ready to drop into a project and refine. You hand it a picture of a page, and it hands back the markup, layout, and styling so you can spend your time on the parts a machine can't fake.

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