screenshot-to-code

This simple app converts a screenshot to code (HTML/Tailwind CSS, or React or Vue or Bootstrap). It uses GPT-4 Vision 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!

Youtube.Clone.mp4

See the Examples section below for more demos.

🚀 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

• Nov 28 - 🔥 🔥 🔥 Get output code in React or Bootstrap or TailwindCSS
• Nov 23 - Send in a screenshot of the current replicated version (sometimes improves quality of subsequent generations)
• Nov 21 - Edit code in the code editor and preview changes live thanks to @clean99
• Nov 20 - Paste in a URL to screenshot and clone (requires ScreenshotOne free API key)
• Nov 19 - Support for dark/light code editor theme - thanks @kachbit
• Nov 16 - Added a setting to disable DALL-E image generation if you don't need that
• Nov 16 - View code directly within the app
• Nov 15 - You can now instruct the AI to update the code as you wish. It is helpful if the AI messed up some styles or missed a section.

🛠 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

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)

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 (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.