Replay AI: Convert a UI Wireframe Video to a Production-Ready React Web App (2026)

TL;DR: Replay AI uses video analysis and behavior-driven reconstruction to convert UI wireframe videos into production-ready React web applications, understanding user intent rather than just visual elements.

The future of UI development isn't about static mockups or hand-coding every component. It's about capturing the behavior of an interface and letting AI reconstruct it. Replay AI is the engine driving this shift, transforming video recordings of UI wireframes into fully functional React applications, complete with data integration and styling. Forget pixel-perfect screenshots – we're talking about behavior-driven reconstruction.

The Problem with Screenshot-to-Code#

Traditional screenshot-to-code tools have limitations. They treat the UI as a static image, missing crucial information about user interactions, data flow, and the overall purpose of the application. This leads to code that is often incomplete, inflexible, and requires significant manual tweaking.

Replay addresses these shortcomings by analyzing video recordings of UI wireframes. It leverages advanced AI models, powered by Gemini, to understand user intent, identify UI elements, and reconstruct the application's behavior in code.

Introducing Replay AI: Behavior-Driven Reconstruction#

Replay AI uses a novel approach called "Behavior-Driven Reconstruction." Instead of focusing solely on visual elements, it analyzes the actions performed in the video. This includes:

• •Button clicks
• •Form submissions
• •Page navigation
• •Data entry
• •Scrolling and other interactions

By understanding these behaviors, Replay can generate code that accurately reflects the intended functionality of the application.

Key Features:#

• •Multi-Page Generation: Replay automatically generates code for multiple pages based on the navigation flow in the video.
• •Supabase Integration: Seamlessly integrates with Supabase for data storage and retrieval, automatically creating database schemas and API endpoints.
• •Style Injection: Applies consistent styling based on the visual design in the video, ensuring a polished and professional look.
• •Product Flow Maps: Visualizes the user flow through the application, providing a clear overview of the application's structure and behavior.

Building a React Web App from a UI Wireframe Video: A Step-by-Step Guide#

Let's walk through the process of converting a UI wireframe video into a production-ready React web app using Replay AI.

Step 1: Recording the UI Wireframe Video#

The first step is to record a video of your UI wireframe. This video should demonstrate the key features and functionality of your application.

💡 Pro Tip: Speak clearly while recording. Annotate the video with text labels to explain complex interactions. The clearer the video, the better Replay can understand your intent.

Step 2: Uploading the Video to Replay#

Once you have your video, upload it to the Replay platform. Replay will automatically analyze the video and begin the reconstruction process.

Step 3: Reviewing and Refining the Generated Code#

After the analysis is complete, Replay will present you with the generated React code. You can review and refine the code to ensure that it meets your specific requirements.

📝 Note: Replay generates a functional application, but you may need to adjust the code to fit your exact design preferences or add custom logic.

Step 4: Integrating with Supabase#

Replay can automatically integrate with Supabase to create a database schema and API endpoints for your application. Simply provide your Supabase credentials, and Replay will handle the rest.

Step 5: Deploying the Application#

Once you are satisfied with the generated code and data integration, you can deploy the application to your preferred hosting provider.

Code Example: Replay-Generated React Component#

Here's an example of a React component generated by Replay AI from a UI wireframe video:

typescript
// Generated by Replay AI
import React, { useState, useEffect } from 'react';
import { createClient } from '@supabase/supabase-js';

const supabaseUrl = process.env.NEXT_PUBLIC_SUPABASE_URL;
const supabaseAnonKey = process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY;

const supabase = createClient(supabaseUrl, supabaseAnonKey);

const TodoList = () => {
  const [todos, setTodos] = useState([]);
  const [newTodo, setNewTodo] = useState('');

  useEffect(() => {
    fetchTodos();
  }, []);

  const fetchTodos = async () => {
    const { data, error } = await supabase
      .from('todos')
      .select('*');

    if (error) {
      console.error('Error fetching todos:', error);
    } else {
      setTodos(data);
    }
  };

  const addTodo = async () => {
    if (!newTodo) return;

    const { data, error } = await supabase
      .from('todos')
      .insert([{ task: newTodo }])
      .single();

    if (error) {
      console.error('Error adding todo:', error);
    } else {
      setTodos([...todos, data]);
      setNewTodo('');
    }
  };

  return (
    <div>
      <h1>Todo List</h1>
      <input
        type="text"
        value={newTodo}
        onChange={(e) => setNewTodo(e.target.value)}
      />
      <button onClick={addTodo}>Add Todo</button>
      <ul>
        {todos.map((todo) => (
          <li key={todo.id}>{todo.task}</li>
        ))}
      </ul>
    </div>
  );
};

export default TodoList;

This code demonstrates how Replay AI can automatically generate a functional React component that integrates with Supabase to fetch and display data.

Style Injection: Making it Look Good#

Replay's style injection feature analyzes the visual design in the video and applies consistent styling to the generated code. This includes:

• •Colors
• •Fonts
• •Spacing
• •Layout

Replay uses a combination of CSS-in-JS libraries and traditional CSS to ensure that the application looks polished and professional.

⚠️ Warning: While Replay handles basic styling, complex designs may require manual adjustments to the generated CSS.

Product Flow Maps: Understanding the User Journey#

Replay generates product flow maps that visualize the user journey through the application. These maps provide a clear overview of the application's structure and behavior, making it easier to understand and maintain the code.

Benefits of Using Replay AI#

• •Faster Development: Significantly reduces the time required to build UI from wireframes.
• •Improved Accuracy: Understands user intent, leading to more accurate and functional code.
• •Seamless Integration: Integrates with Supabase for data storage and retrieval.
• •Enhanced Collaboration: Facilitates collaboration between designers and developers.
• •Reduced Costs: Lowers development costs by automating the code generation process.

Replay vs. the Competition#

While several tools offer code generation capabilities, Replay stands out due to its focus on video analysis and behavior-driven reconstruction.

Replay's ability to analyze video recordings and understand user intent sets it apart from traditional design-to-code tools.

Frequently Asked Questions#

Is Replay free to use?#

Replay offers a free tier with limited features. Paid plans are available for users who require more advanced functionality.

How is Replay different from v0.dev?#

While both tools generate code, Replay focuses on reconstructing existing UI from video, understanding user behavior, and seamlessly integrating with backend services like Supabase. V0.dev primarily focuses on generating new UI components from text prompts. Replay excels at bringing existing UI concepts to life, while v0.dev is better suited for exploring new design possibilities.

What types of videos work best with Replay?#

Videos that clearly demonstrate the UI's functionality and user interactions produce the best results. Speak clearly, annotate the video if needed, and ensure that all key features are showcased.

Can Replay handle complex UI interactions?#

Yes, Replay is designed to handle complex UI interactions, including form submissions, page navigation, and data entry. However, extremely intricate interactions may require manual adjustments to the generated code.

What if Replay doesn't perfectly reconstruct the UI?#

Replay provides tools for reviewing and refining the generated code. You can make manual adjustments to ensure that the application meets your specific requirements. The AI learns from these adjustments, improving its accuracy over time.

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Ready to try behavior-driven code generation? Get started with Replay - transform any video into working code in seconds.