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draw-a-ui vs Screenshot to Code

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

draw-a-ui

Open source · MIT

Draw a rough wireframe in a canvas and get HTML/Tailwind code generated from it by GPT-4 Vision.

Screenshot to Code

Open source · MIT

Turns screenshots or mockups into code for HTML, React, Vue and other stacks using AI.

The short answer

Choose draw-a-ui if you need…

  • Developers exploring how vision models can turn sketches into HTML
  • Designers who want a quick rough draft of a page layout as code
  • People learning how to connect a canvas drawing tool to an AI API
  • Anyone who wants a starting point for a Tailwind-based page

Choose Screenshot to Code if you need…

  • Developers who want a first draft of a page from a design image
  • Designers who want to see a rough coded version of their mockup
  • Prototyping a website from a screen recording
  • People who want to self-host and customize the code

Side-by-side

draw-a-uiScreenshot to Code
TypeAppApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars13.6k81k
Setup difficultyBeginnerIntermediate
How you get itClone and build from sourceClone and build from source
Main languageTypeScriptPython
Last code update16 months ago10 days ago

What each one is

draw-a-ui

draw-a-ui is a Next.js web app built on the tldraw drawing canvas. You sketch a wireframe, the app exports the canvas as an image, and sends it to OpenAI's gpt-4-vision API with instructions to return a single HTML file styled with Tailwind. It is a demo that shows how an image of a layout can be turned into working front-end code.

Screenshot to Code

You give it a screenshot, a design mockup, a Figma design, or a screen recording, and it uses AI models to write front-end code that tries to match the look of the original. It supports several stacks, including HTML with Tailwind or CSS, React with Tailwind, Vue with Tailwind, Bootstrap, and Ionic with Tailwind. People use it to speed up turning visual designs into working starting points.

Best for

draw-a-ui

  • Developers exploring how vision models can turn sketches into HTML
  • Designers who want a quick rough draft of a page layout as code
  • People learning how to connect a canvas drawing tool to an AI API
  • Anyone who wants a starting point for a Tailwind-based page

Screenshot to Code

  • Developers who want a first draft of a page from a design image
  • Designers who want to see a rough coded version of their mockup
  • Prototyping a website from a screen recording
  • People who want to self-host and customize the code

Strengths

draw-a-ui

  • Simple idea that is easy to follow from the README
  • Built on established tools: Next.js, tldraw and the OpenAI API
  • Open source under the MIT license

Screenshot to Code

  • Supports multiple common front-end stacks
  • Offers a hosted version for trying it without local setup
  • Licensed under MIT, so it can be freely used and modified

Not ideal for

draw-a-ui

  • Production deployment: the README says it is a demo with no auth, so it could run up API costs for anyone who finds it
  • Users without an OpenAI API key with GPT-4 Vision access, since the app cannot work without one
  • People needing pixel-accurate or production-ready code, since the output is generated and not reviewed

Screenshot to Code

  • Anyone who needs pixel-perfect or production-ready output without review, since the README presents results as a starting point and makes no such guarantee
  • People without API keys or budget for paid model providers, because running it locally requires at least one key
  • Users who want to run fully offline or with local open-source models, since the README says Ollama models are not recommended due to poor-quality results

Trade-offs

draw-a-ui

  • Depends on a paid OpenAI API key with GPT-4 Vision access
  • README explicitly says it is a demo, not for production, and has no authentication
  • Output quality depends on the model and the sketch; the README does not describe accuracy

Screenshot to Code

  • Requires API keys from model providers, which can cost money to use
  • Local setup involves a backend and frontend, plus Playwright/Chromium and Poetry, so it takes some technical effort
  • The README lists some features as optional or limited by which keys are configured

Getting started

draw-a-ui

Create env file with your OpenAI key

echo "OPENAI_API_KEY=sk-your-key" > .env.local

Install dependencies

npm install
Step-by-step guide: how to use draw-a-ui

Screenshot to Code

Clone the repository

git clone https://github.com/abi/screenshot-to-code

Install backend dependencies

cd backend && poetry install
Step-by-step guide: how to use Screenshot to Code

Frequently asked questions

What is the difference between draw-a-ui and Screenshot to Code?

draw-a-ui: Draw a rough wireframe in a canvas and get HTML/Tailwind code generated from it by GPT-4 Vision. Screenshot to Code: Turns screenshots or mockups into code for HTML, React, Vue and other stacks using AI. draw-a-ui suits developers exploring how vision models can turn sketches into html, while Screenshot to Code suits developers who want a first draft of a page from a design image.

Are draw-a-ui and Screenshot to Code free?

draw-a-ui: Free and open source. Screenshot to Code: Free and open source.

Which is easier to set up, draw-a-ui or Screenshot to Code?

draw-a-ui is easier to get started with (rated beginner); Screenshot to Code is rated intermediate and usually needs more setup.

Is draw-a-ui or Screenshot to Code more popular?

Screenshot to Code has more GitHub stars (81k) than draw-a-ui (13.6k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to draw-a-ui and Screenshot to Code?

Other options people compare them with include OpenHands, One API, LlamaGPT, CowAgent, LibreChat.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.