Yes, but only if you are prepared to maintain external model services, Python/Node dependencies, and the browser runtime.

• The README describes local execution as suitable for customization, self-hosting, or contribution, and identifies the architecture as a React/Vite frontend with a FastAPI backend.
• At least one OpenAI, Anthropic, or Gemini key is required. Gemini and Replicate are strongly recommended for asset extraction, image editing, background removal, and better screenshot accuracy.
• The project provides Poetry, pnpm, and Docker paths; Docker can build the application with docker-compose and expose it at port 5173.
• This is not a fully offline deployment: the README provides no equivalent local-model path and explicitly says Ollama is not recommended because of poor-quality results.

It depends. The project supports this loop, but screenshot preview is enabled only when Chromium and the required Linux dependencies are installed correctly.

• The README describes screenshot preview as optional: the agent can render the generated page in a headless browser and visually inspect its work.
• The normal command is poetry run playwright install chromium; on Linux, the README gives poetry run playwright install --with-deps chromium, which requires sudo/apt for system libraries.
• If Chromium is missing, the application skips the tool rather than failing outright, and the frontend Settings dialog reports whether the backend can provide screenshot preview.
• Therefore, Poetry and FastAPI alone do not guarantee visual feedback; container permissions and system dependencies remain decisive.

Yes, it is suitable because React + Tailwind is explicitly supported and the input can include more than a static screenshot.

• The “Supported stacks” section lists “React + Tailwind”, and the generated code is intended to remain editable and runnable.
• The README says a “screen recording of a website in action” can be turned into a functional prototype, which helps represent visible state changes and interaction paths.
• Gemini is required for video mode and can also extract real images and logos from screenshots.
• However, a recording cannot reveal backend business logic, permissions, APIs, or unobserved error branches, so the result is better treated as a prototype than a complete implementation.

Yes, it is suitable because Gemini and Replicate provide asset extraction and image-processing capabilities, although they do not replace copyright review.

• The README says Gemini extracts real assets from the screenshot, with the goal of reusing the actual logos and images instead of relying only on placeholders.
• Replicate provides image editing, background removal, and Replicate-backed image generation; without its key, edit_images and remove_backgrounds are unavailable.
• The API-keys section strongly recommends configuring both Gemini and Replicate for better screenshot-to-code accuracy.
• Generated assets still come from third-party services or the original visual input, and the project data indicates that copyright, trademark, and licensing boundaries must be checked separately.

Yes, it is suitable because the README explicitly lists all three target stacks and positions the project as a way to create a runnable frontend draft from visual input.

• The supported-stack list includes HTML + CSS, Bootstrap, and Ionic + Tailwind, so React is not required.
• The project description says it converts screenshots, mockups, and Figma designs into “clean, functional code”, rather than merely producing an image or visual description.
• The hosted product is described as the fastest way to try the tool, which is useful for product designers or independent developers who do not want local setup first.
• However, the README gives no quality comparison between Bootstrap, Ionic, and React outputs; complex business logic still has to be added manually.

It depends. The README explicitly supports an OpenAI proxy, but successful use still depends on the proxy being compatible with the required API path and reachable from the deployment environment.

• The FAQ says that users who cannot access OpenAI directly may use a VPN or set OPENAI_BASE_URL in backend/.env.
• The proxy URL must include the v1 path, and the README gives a format such as https://xxx.xxxxx.xxx/v1; it can also be entered in the frontend settings dialog.
• GPT-5.5 and GPT-5.4 Mini are listed among the default AI models, so the proxy changes the access route but does not solve model permissions, quotas, or compatibility automatically.
• If only an OpenAI key is configured, the application uses that provider’s models only; Gemini or Anthropic keys add other code-generation choices.