screenshot-to-code

A simple tool to convert screenshots, mockups and Figma designs into clean, functional code using AI. Now supporting Claude Sonnet 3.5 and GPT-4O!

Youtube.Clone.mp4

Supported stacks:

• HTML + Tailwind
• HTML + CSS
• React + Tailwind
• Vue + Tailwind
• Bootstrap
• Ionic + Tailwind
• SVG

Supported AI models:

• Claude Sonnet 3.5 - Best model!
• GPT-4O - also recommended!
• GPT-4 Turbo (Apr 2024)
• GPT-4 Vision (Nov 2023)
• Claude 3 Sonnet
• DALL-E 3 for image generation

See the Examples section below for more demos.

We also just added experimental support for taking a video/screen recording of a website in action and turning that into a functional prototype.

Learn more about video here.

Follow me on Twitter for updates.

🚀 Hosted Version

Try it live on the hosted version (paid).

🛠 Getting Started

The app has a React/Vite frontend and a FastAPI backend.

Keys needed:

• OpenAI API key with access to GPT-4
• Anthropic key (optional) - only if you want to use Claude Sonnet, or for experimental video support.

Run the backend (I use Poetry for package management - pip install poetry if you don't have it):

cd backend
echo "OPENAI_API_KEY=sk-your-key" > .env
poetry install
poetry shell
poetry run uvicorn main:app --reload --port 7001

If you want to use Anthropic, add ANTHROPIC_API_KEY to backend/.env. You can also set up the keys using the settings dialog on the front-end (click the gear icon after loading the frontend).

Run the frontend:

cd frontend
yarn
yarn dev

Open http://localhost:5173 to use the app.

If you prefer to run the backend on a different port, update VITE_WS_BACKEND_URL in frontend/.env.local

For debugging purposes, if you don't want to waste GPT4-Vision credits, you can run the backend in mock mode (which streams a pre-recorded response):

MOCK=true poetry run uvicorn main:app --reload --port 7001

Docker

If you have Docker installed on your system, in the root directory, run:

echo "OPENAI_API_KEY=sk-your-key" > .env
docker-compose up -d --build

The app will be up and running at http://localhost:5173. Note that you can't develop the application with this setup as the file changes won't trigger a rebuild.

🙋‍♂️ FAQs

• I'm running into an error when setting up the backend. How can I fix it? Try this. If that still doesn't work, open an issue.
• How do I get an OpenAI API key? See https://github.com/abi/screenshot-to-code/blob/main/Troubleshooting.md
• How can I configure an OpenAI proxy? - If you're not able to access the OpenAI API directly (due to e.g. country restrictions), you can try a VPN or you can configure the OpenAI base URL to use a proxy: Set OPENAI_BASE_URL in the backend/.env or directly in the UI in the settings dialog. Make sure the URL has "v1" in the path so it should look like this: https://xxx.xxxxx.xxx/v1
• How can I update the backend host that my front-end connects to? - Configure VITE_HTTP_BACKEND_URL and VITE_WS_BACKEND_URL in front/.env.local For example, set VITE_HTTP_BACKEND_URL=http://124.10.20.1:7001
• Seeing UTF-8 errors when running the backend? - On windows, open the .env file with notepad++, then go to Encoding and select UTF-8.
• How can I provide feedback? For feedback, feature requests and bug reports, open an issue or ping me on Twitter.

📚 Examples

NYTimes

Original	Replica

Instagram page (with not Taylor Swift pics)

instagram.taylor.swift.take.1.mp4

Hacker News but it gets the colors wrong at first so we nudge it

hacker.news.with.edits.mp4

🌍 Hosted Version

🆕 Try it here (paid). Or see Getting Started for local install instructions to use with your own API keys.