Replay AI: A Complete Guide to AI Video Analysis and Code Generation in 2026

TL;DR: Replay AI revolutionizes UI development by converting video recordings of user interactions into fully functional code, surpassing traditional screenshot-to-code methods with its behavior-driven reconstruction.

Replay AI: A Complete Guide to AI Video Analysis and Code Generation in 2026#

The future of UI development isn't about static mockups; it's about understanding behavior. Screenshot-to-code tools offer a glimpse, but they fall short of capturing the nuances of user interaction. Replay AI bridges this gap by using video as the single source of truth, leveraging advanced AI models like Gemini to reconstruct working UI from screen recordings. This isn't just code generation; it's behavior-driven reconstruction.

The Problem with Traditional UI Development#

For years, the process has been the same: design in Figma, translate to code, and iterate based on user feedback. This workflow is inherently flawed:

• •Static Designs: Mockups don't capture dynamic user flows.
• •Interpretation Errors: Designers and developers often misinterpret each other's intentions.
• •Feedback Loops: Gathering and implementing feedback is time-consuming and inefficient.

The result? Projects are delayed, budgets are exceeded, and the final product often misses the mark.

Introducing Behavior-Driven Reconstruction with Replay AI#

Replay AI offers a fundamentally different approach. Instead of relying on static designs, Replay analyzes video recordings of user interactions. This allows the AI to understand what users are trying to do, not just what they see. The result is code that accurately reflects user behavior and intent.

Replay uses "Behavior-Driven Reconstruction" to convert video into code. It's the difference between recreating a painting from a photograph (screenshot-to-code) and recreating the artist's brushstrokes from a time-lapse video (Replay AI).

Key Features of Replay AI#

Replay AI is packed with features designed to streamline the UI development process:

• •Multi-Page Generation: Reconstruct entire multi-page applications from a single video.
• •Supabase Integration: Seamlessly integrate with your existing Supabase backend.
• •Style Injection: Apply custom styles to your generated UI.
• •Product Flow Maps: Visualize user flows and identify areas for improvement.
• •Behavior-Driven Reconstruction: Accurately captures user behavior and intent.

How Replay AI Works: A Step-by-Step Guide#

Here's a practical example of how to use Replay AI to generate code from a video recording of a simple e-commerce checkout flow.

Step 1: Upload Your Video#

First, upload your video recording to the Replay AI platform. Ensure the video clearly shows the user interacting with the UI, including clicks, form submissions, and page transitions.

📝 Note: The clarity of the video directly impacts the accuracy of the generated code. Ensure good lighting and minimal distractions in the recording.

Step 2: Analyze User Behavior#

Replay AI's Gemini-powered engine analyzes the video, identifying key user actions and UI elements. This process can take a few minutes, depending on the length of the video.

Step 3: Generate Code#

Once the analysis is complete, Replay AI generates clean, functional code. You can choose from various frameworks and languages, including React, Vue.js, and Angular.

typescript
// Example React component generated by Replay AI
import React, { useState } from 'react';

const CheckoutForm = () => {
  const [name, setName] = useState('');
  const [address, setAddress] = useState('');

  const handleSubmit = async (e: React.FormEvent) => {
    e.preventDefault();
    // Simulate submitting the form data to an API
    console.log('Submitting form:', { name, address });
    await new Promise(resolve => setTimeout(resolve, 1000)); // Simulate API call
    alert('Order placed successfully!');
  };

  return (
    <form onSubmit={handleSubmit}>
      <div>
        <label htmlFor="name">Name:</label>
        <input
          type="text"
          id="name"
          value={name}
          onChange={(e) => setName(e.target.value)}
          required
        />
      </div>
      <div>
        <label htmlFor="address">Address:</label>
        <input
          type="text"
          id="address"
          value={address}
          onChange={(e) => setAddress(e.target.value)}
          required
        />
      </div>
      <button type="submit">Place Order</button>
    </form>
  );
};

export default CheckoutForm;

This code is a functional React component that captures user input for name and address and simulates submitting the order.

Step 4: Integrate with Supabase (Optional)#

Replay AI integrates seamlessly with Supabase. You can configure your Supabase connection in the Replay AI settings. This allows you to automatically store user data and application state in your Supabase database.

javascript
// Example of using Supabase to store form data
import { createClient } from '@supabase/supabase-js';

const supabaseUrl = 'YOUR_SUPABASE_URL';
const supabaseKey = 'YOUR_SUPABASE_ANON_KEY';
const supabase = createClient(supabaseUrl, supabaseKey);

const handleSubmit = async (e: React.FormEvent) => {
  e.preventDefault();
  const { data, error } = await supabase
    .from('orders')
    .insert([{ name, address }]);

  if (error) {
    console.error('Error inserting data:', error);
  } else {
    console.log('Data inserted successfully:', data);
    alert('Order placed successfully!');
  }
};

💡 Pro Tip: Use environment variables to store your Supabase URL and key for security.

Step 5: Customize and Deploy#

The generated code is a starting point. You can customize the code to fit your specific needs. Add custom styling, implement additional functionality, and deploy your application to your preferred hosting provider.

Benefits of Using Replay AI#

• •Faster Development: Generate code in seconds, significantly reducing development time.
• •Improved Accuracy: Behavior-driven reconstruction ensures code accurately reflects user intent.
• •Reduced Errors: Eliminate interpretation errors and miscommunications between designers and developers.
• •Enhanced Collaboration: Use video recordings as a shared source of truth.
• •Data-Driven Design: Visualize user flows and identify areas for improvement.

Replay AI vs. Existing Solutions#

While several tools offer code generation capabilities, Replay AI stands out due to its unique video-to-code approach and behavior-driven reconstruction.

⚠️ Warning: Replay AI requires clear and well-structured video recordings to generate accurate code. Poor video quality can result in errors.

Frequently Asked Questions#

Is Replay AI free to use?#

Replay AI offers a free trial period with limited features. Paid plans are available for full access and unlimited usage. Check the pricing page for the most up-to-date information.

How is Replay AI different from v0.dev?#

v0.dev is a text-to-code generator that uses AI to create UI components based on text prompts. Replay AI, on the other hand, uses video recordings of user interactions to reconstruct entire applications. Replay AI focuses on understanding user behavior, while v0.dev focuses on generating UI components from textual descriptions.

What frameworks and languages does Replay AI support?#

Replay AI currently supports React, Vue.js, and Angular. Support for additional frameworks and languages is planned for future releases.

Can I use Replay AI for complex applications?#

Yes, Replay AI can handle complex applications with multiple pages and intricate user flows. The quality of the generated code depends on the clarity and structure of the video recording.

What are the system requirements for using Replay AI?#

Replay AI is a cloud-based platform, so there are no specific system requirements. You only need a web browser and an internet connection.

---

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