Replay AI vs. Locofy: Generate Code that converts UI easier in 2026

TL;DR: Replay AI uses video analysis and behavior-driven reconstruction to generate more accurate and functional code from UI recordings compared to screenshot-based tools like Locofy, especially for complex, multi-page applications.

Replay AI vs. Locofy: Generate Code that Converts UI Easier in 2026#

Generating code from UI designs or existing interfaces has always been a holy grail for developers. Speeding up development, reducing manual coding, and ensuring design consistency are all compelling benefits. While screenshot-to-code tools have been around for a while, they often fall short when dealing with complex applications that involve intricate user interactions and multi-page flows. This is where Replay AI enters the picture, offering a fundamentally different approach based on video analysis and behavior-driven reconstruction. Let's delve into a comparison with a popular screenshot-to-code tool, Locofy, to see how Replay AI is revolutionizing UI code generation.

The Problem with Screenshot-to-Code: A Static Snapshot#

Traditional screenshot-to-code tools like Locofy rely on static images to infer the UI structure. While they can be helpful for simple, single-page layouts, they struggle with dynamic elements, user interactions, and multi-page flows. The AI essentially sees a picture, not the underlying logic or user intent. This often results in code that requires significant manual rework to achieve the desired functionality.

Consider a scenario where a user navigates through a multi-step form, triggering different UI elements based on their input. A screenshot-to-code tool would only capture a single state of the form, missing the dynamic behavior and the relationships between different elements.

Replay AI: Behavior-Driven Reconstruction from Video#

Replay AI takes a radically different approach by analyzing video recordings of user interactions. This allows the engine to understand not just the visual appearance of the UI, but also the user's intent and the underlying logic driving the application. By reconstructing the UI based on observed behavior, Replay AI generates code that is more accurate, functional, and maintainable.

Here's how Replay's "Behavior-Driven Reconstruction" works:

1. •Video Analysis: Replay analyzes the video frame-by-frame, identifying UI elements, user actions (clicks, scrolls, form inputs), and transitions between different states.
2. •Behavioral Modeling: The engine builds a model of the user's interaction flow, capturing the relationships between different UI elements and the logic that governs their behavior.
3. •Code Generation: Based on the behavioral model, Replay generates code that accurately reflects the UI structure, functionality, and user interactions.

Key Differences: Replay AI vs. Locofy#

Let's break down the key differences between Replay AI and Locofy in a comparison table:

As you can see, Replay AI offers significant advantages over Locofy, particularly when it comes to handling complex applications with dynamic elements and multi-page flows.

Diving Deeper: Replay AI's Key Features#

Here's a closer look at some of Replay AI's standout features:

• •Multi-Page Generation: Replay AI can generate code for entire applications, including multiple pages and complex navigation flows. This is a game-changer for building large-scale applications.
• •Supabase Integration: Seamlessly integrate your generated code with Supabase, a popular open-source Firebase alternative, for backend functionality and data storage.
• •Style Injection: Replay AI allows you to inject custom styles into your generated code, ensuring that your UI matches your brand guidelines.
• •Product Flow Maps: Visualize the user flow through your application with automatically generated product flow maps. This helps you understand how users interact with your UI and identify potential areas for improvement.

Code Example: Handling Dynamic Form Submission#

Let's illustrate the power of Replay AI with a code example. Imagine a form that dynamically displays different fields based on the user's selection. With Locofy, you'd likely end up with static code that requires significant manual modification to handle the dynamic behavior.

With Replay AI, the generated code would automatically capture the dynamic behavior of the form. Here's a simplified example of how the generated code might look:

typescript
// Generated by Replay AI
const handleSubmit = async (event: React.FormEvent<HTMLFormElement>) => {
  event.preventDefault();

  const formData = new FormData(event.currentTarget);
  const data = Object.fromEntries(formData.entries());

  // Dynamically handle form submission based on user selections
  if (data.fieldType === 'email') {
    // Validate email format
    if (!/^[^\s@]+@[^\s@]+\.[^\s@]+$/.test(data.email)) {
      alert('Invalid email address');
      return;
    }
  }

  try {
    const response = await fetch('/api/submitForm', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
      },
      body: JSON.stringify(data),
    });

    if (response.ok) {
      alert('Form submitted successfully!');
    } else {
      alert('Form submission failed.');
    }
  } catch (error) {
    console.error('Error submitting form:', error);
    alert('An error occurred while submitting the form.');
  }
};

💡 Pro Tip: Replay AI can automatically generate unit tests for your components based on the observed behavior in the video recording. This helps ensure that your code is robust and reliable.

Step-by-Step Guide: Generating Code with Replay AI#

Here's a quick guide on how to generate code with Replay AI:

Step 1: Record Your UI Interaction

Use any screen recording tool to capture a video of you interacting with the UI you want to convert to code. Make sure to showcase all the key features and user flows.

Step 2: Upload the Video to Replay AI

Sign up for a Replay AI account and upload your video to the platform.

Step 3: Review and Refine (Optional)

Replay AI will automatically analyze the video and generate code. You can review the generated code and make any necessary refinements.

Step 4: Export and Integrate

Export the generated code and integrate it into your project.

📝 Note: Replay AI supports various frameworks and libraries, including React, Vue.js, and Angular.

The Future of UI Code Generation#

Replay AI represents a significant leap forward in UI code generation. By leveraging video analysis and behavior-driven reconstruction, it generates code that is more accurate, functional, and maintainable than traditional screenshot-to-code tools. As AI technology continues to evolve, we can expect Replay AI to become even more powerful and versatile, further streamlining the development process and empowering developers to build better applications faster.

typescript
// Example of using Supabase with generated code
import { createClient } from '@supabase/supabase-js';

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

const saveUserData = async (userData: any) => {
  const { data, error } = await supabase
    .from('users')
    .insert([userData]);

  if (error) {
    console.error('Error saving user data:', error);
  } else {
    console.log('User data saved successfully:', data);
  }
};

⚠️ Warning: Always review and test the generated code thoroughly before deploying it to production. While Replay AI strives for accuracy, manual verification is essential to ensure that the code meets your specific requirements.

Real-World Use Cases#

Replay AI is applicable to a wide range of use cases, including:

• •Rapid Prototyping: Quickly generate code for UI prototypes based on video recordings of mockups or existing applications.
• •Legacy Code Modernization: Reconstruct the UI of legacy applications from video recordings, making it easier to modernize and maintain them.
• •Automated UI Testing: Generate automated UI tests based on video recordings of user interactions.

Frequently Asked Questions#

Is Replay AI free to use?#

Replay AI offers a free tier with limited features and usage. Paid plans are available for users who require more advanced features and higher usage limits. Check the pricing page for the most up-to-date information.

How is Replay AI different from v0.dev?#

While both tools aim to generate code, Replay AI focuses on analyzing video recordings to understand user behavior and generate more accurate and functional code. V0.dev, on the other hand, primarily uses text prompts and AI to generate UI components. Replay excels at capturing existing UI behavior, while v0.dev is better suited for creating new UI from scratch.

What frameworks and libraries does Replay AI support?#

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

How accurate is the generated code?#

Replay AI strives for high accuracy, but the accuracy of the generated code depends on the quality of the video recording and the complexity of the UI. It's always recommended to review and test the generated code thoroughly before deploying it to production.

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