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This document provides a technical overview of the Image-to-Code API, which converts uploaded UI design images into functional HTML and Tailwind CSS code.

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Purpose and Scope

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The Image-to-Code API transforms screenshots of website designs into executable HTML and Tailwind CSS code using comprehensive image analysis and AI-powered code generation. This overview explains the components and the processing pipeline.

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System Architecture

High-Level Architecture

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The system implements a client-server architecture with a React frontend that communicates with a FastAPI backend. The backend integrates with external LLM services (Google Gemini and Anthropic Claude) to generate HTML and Tailwind CSS code from images.

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Core Processing Pipeline

Image-to-Code Conversion Flow

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Image-to-Code Conversion Pipeline

The pipeline processes image through multiple stages: image segmentation, component detection, description generation, and code generation. The system supports single and long images, with the latter requiring additional HTML combining.

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Pipeline Components and Processing Stages

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The backend follows a pipeline architecture with these processing stages:

1. Image Segmentation: Determines whether segmentation is needed based on the image length, and performs segmentation if required.
2. Component Detection: Identifies UI elements using Gemini.
3. Description Generation: Creates detailed descriptions of detected components
4. Code Generation: Uses LLMs to generate HTML and Tailwind CSS code based on descriptions
5. HTML Combining (for multiple image segments): Combines individual HTML outputs using Gemini. </aside>

API Endpoints

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The backend exposes two primary endpoints for image-to-code conversion:

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