screenshot-to-code

This simple app converts a screenshot to code (HTML/Tailwind CSS, or React or Bootstrap or Vue). It uses GPT-4 Vision (or Claude 3) to generate the code and DALL-E 3 to generate similar-looking images. You can now also enter a URL to clone a live website.

🆕 Now, supporting Claude 3!

https://github.com/abi/screenshot-to-code/assets/23818/6cebadae-2fe3-4986-ac6a-8fb9db030045

See the Examples section below for more demos.

Follow me on Twitter for updates.

🚀 Try It Out!

🆕 Try it here (bring your own OpenAI key - your key must have access to GPT-4 Vision. See FAQ section below for details). Or see Getting Started below for local install instructions.

🌟 Recent Updates

• Mar 5 - Added support for Claude Sonnet 3 (as capable as or better than GPT-4 Vision, and faster!)

🛠 Getting Started

The app has a React/Vite frontend and a FastAPI backend. You will need an OpenAI API key with access to the GPT-4 Vision API.

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

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

Configuration

• You can configure the OpenAI base URL if you need to use a proxy: Set OPENAI_BASE_URL in the backend/.env or directly in the UI in the settings dialog

Using Claude 3

We recently added support for Claude 3 Sonnet. It performs well, on par or better than GPT-4 vision for many inputs, and it tends to be faster.

1. Add an env var ANTHROPIC_API_KEY to backend/.env with your API key from Anthropic
2. When using the front-end, select "Claude 3 Sonnet" from the model dropdown

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 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)

https://github.com/abi/screenshot-to-code/assets/23818/503eb86a-356e-4dfc-926a-dabdb1ac7ba1

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

https://github.com/abi/screenshot-to-code/assets/23818/3fec0f77-44e8-4fb3-a769-ac7410315e5d

🌍 Hosted Version

🆕 Try it here (bring your own OpenAI key - your key must have access to GPT-4 Vision. See FAQ section for details). Or see Getting Started for local install instructions.