# emilwallner/screenshot-to-code

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16,485 stars · 1,544 forks · HTML · NOASSERTION

## Links

- GitHub: https://github.com/emilwallner/Screenshot-to-code
- awesome-repositories: https://awesome-repositories.com/repository/emilwallner-screenshot-to-code.md

## Topics

`cnn` `cnn-keras` `deep-learning` `encoder-decoder` `floydhub` `jupyter` `jupyter-notebook` `keras` `lstm` `machine-learning` `seq2seq`

## Description

Screenshot-to-code is an AI visual frontend generator that translates images, design mockups, and screenshots into structured HTML, CSS, and Tailwind markup. It functions as a design-to-code converter that uses large language models and neural networks to transform visual elements into functional web page layouts.

The tool automates the frontend design process by converting static mockups into website code, facilitating rapid UI prototyping and the generation of static website structures. It bridges the gap between visual design assets and frontend development by translating image-based layouts into markup and style sheets.

The system employs multimodal analysis to extract structural and stylistic data from images and utilizes a refinement loop that allows users to modify generated code through follow-up text prompts. Generated markup is displayed in a sandboxed iframe for immediate visual preview.

## Tags

### User Interface & Experience

- [Design-to-Code Converters](https://awesome-repositories.com/f/user-interface-experience/design-to-code-converters.md) — Automates the translation of design images and screenshots into structured HTML and CSS code. ([source](https://github.com/emilwallner/screenshot-to-code#readme))
- [Design-to-Code Workflows](https://awesome-repositories.com/f/user-interface-experience/design-to-code-workflows.md) — Bridges the gap between visual design assets and frontend development by generating initial code.

### Artificial Intelligence & ML

- [Prompt-Based Code Synthesis](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/generative-ai-development/prompt-based-code-synthesis.md) — Translates multimodal analysis and prompts into functional frontend code and Tailwind styling.
- [Multimodal Analysis Tools](https://awesome-repositories.com/f/artificial-intelligence-ml/multimodal-analysis-tools.md) — Utilizes multimodal models to extract layout and style information from images for code synthesis.
- [Image-to-Code Networks](https://awesome-repositories.com/f/artificial-intelligence-ml/neural-networks/image-to-code-networks.md) — Uses neural networks to analyze design screenshots and produce functional web page layouts.
- [Prompt-Based UI Refinement](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/generative-ai/generative-text-inference/iterative-refinement-generation/prompt-based-ui-refinement.md) — Enables users to refine the generated website layout through iterative text-based follow-up prompts.

### Development Tools & Productivity

- [AI Frontend Generators](https://awesome-repositories.com/f/development-tools-productivity/build-tooling/build-orchestration-logic/build-orchestration-configuration/build-automation-systems/development-automation-tools/ai-frontend-generators.md) — Functions as an AI-powered generator that converts visual designs into functional frontend source code.

### Software Engineering & Architecture

- [UI Prototyping](https://awesome-repositories.com/f/software-engineering-architecture/development-methodologies/rapid-prototyping/ui-prototyping.md) — Allows rapid testing of visual concepts by converting static designs into live web layouts.

### Web Development

- [Automated Frontend Generators](https://awesome-repositories.com/f/web-development/automated-frontend-generators.md) — Synthesizes functional frontend layouts and styles automatically from visual mockups.

### Part of an Awesome List

- [Computer Vision Libraries](https://awesome-repositories.com/f/awesome-lists/ai/computer-vision-libraries.md) — Neural network for converting UI mockups to code.