Replay AI vs. DhiWise: Better Code With Video AI in 2026

TL;DR: Replay AI uses video analysis and behavior-driven reconstruction to generate more accurate and functional code than traditional screenshot-based tools like DhiWise, especially for complex, multi-page UIs.

Replay AI vs. DhiWise: Better Code With Video AI in 2026#

The landscape of low-code and no-code development tools is rapidly evolving. While screenshot-to-code solutions have gained traction, they often fall short in accurately capturing user intent and translating complex workflows into functional applications. Enter Replay AI, a revolutionary video-to-code engine that leverages Gemini to reconstruct working UI from screen recordings, offering a significant leap forward compared to platforms like DhiWise.

The Limitations of Screenshot-Based Code Generation#

Traditional tools like DhiWise rely on analyzing static screenshots. This approach presents several inherent limitations:

• •Lack of Context: Screenshots only capture a single state of the UI, missing the dynamic interactions and user behavior that define an application's functionality.
• •Static Interpretation: These tools struggle to understand the underlying logic behind UI elements, leading to inaccurate or incomplete code generation.
• •Limited Scalability: Handling multi-page applications or complex user flows becomes cumbersome and error-prone with screenshot-based methods.

Replay AI: Behavior-Driven Reconstruction#

Replay AI addresses these limitations by analyzing video recordings of user interactions. This "behavior-driven reconstruction" approach allows Replay to understand what users are trying to achieve, not just what they see on the screen.

Replay leverages the power of Gemini to:

• •Analyze User Behavior: Identify patterns, workflows, and interactions within the video recording.
• •Reconstruct UI Elements: Accurately recreate UI components and their associated logic.
• •Generate Functional Code: Produce clean, maintainable code that reflects the intended user experience.

Key Features of Replay AI#

Replay AI boasts several key features that set it apart from traditional screenshot-to-code tools:

• •Multi-Page Generation: Replay can seamlessly generate code for multi-page applications by analyzing the user's navigation and interactions across different screens.
• •Supabase Integration: Replay integrates seamlessly with Supabase, allowing developers to quickly connect their generated UI to a powerful backend.
• •Style Injection: Replay supports style injection, enabling developers to customize the look and feel of their applications with ease.
• •Product Flow Maps: Replay automatically generates product flow maps, providing a visual representation of the user's journey through the application.

Implementing Replay AI: A Practical Example#

Let's consider a scenario where we want to generate code for a simple e-commerce checkout flow. With Replay AI, we would record a video of a user navigating through the checkout process, from adding items to the cart to completing the purchase. Replay would then analyze the video and generate the necessary code for each step in the flow.

Here's an example of the generated code for handling the "Add to Cart" functionality:

typescript
// Generated by Replay AI
const addToCart = async (productId: string, quantity: number) => {
  try {
    const response = await fetch('/api/cart/add', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
      },
      body: JSON.stringify({ productId, quantity }),
    });

    if (!response.ok) {
      throw new Error(`HTTP error! status: ${response.status}`);
    }

    const data = await response.json();
    // Update cart state
    console.log('Item added to cart:', data);
  } catch (error) {
    console.error('Error adding item to cart:', error);
  }
};

This code snippet demonstrates how Replay AI can automatically generate functional code based on user interactions captured in the video recording. The code includes error handling and updates the cart state, reflecting the intended behavior of the application.

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

Here's a simplified guide to generating code with Replay AI:

Step 1: Record Your Workflow#

Use a screen recording tool to capture the user flow you want to recreate in code. Make sure to clearly demonstrate all interactions and steps.

Step 2: Upload to Replay#

Upload the video to the Replay AI platform.

Step 3: Review and Refine#

Replay AI will analyze the video and generate the code. Review the generated code and make any necessary refinements.

Step 4: Integrate#

Integrate the generated code into your project.

💡 Pro Tip: For best results, ensure your video recordings are clear and well-lit. Speak aloud the actions you're taking to provide additional context for Replay AI.

The Future of Code Generation: Video is the New Source of Truth#

Replay AI represents a paradigm shift in code generation. By leveraging video analysis and behavior-driven reconstruction, Replay offers a more accurate, efficient, and scalable solution compared to traditional screenshot-based tools. As the demand for low-code and no-code solutions continues to grow, Replay AI is poised to become a leading platform for developers looking to accelerate their development workflows and create high-quality applications.

⚠️ Warning: While Replay AI automates much of the code generation process, it's still crucial to review and test the generated code thoroughly to ensure it meets your specific requirements.

Benefits of Using Replay AI#

• •Faster Development: Accelerate your development workflows by automating the code generation process.
• •Improved Accuracy: Generate more accurate and functional code based on real user behavior.
• •Enhanced Scalability: Easily handle multi-page applications and complex user flows.
• •Reduced Costs: Lower development costs by reducing the need for manual coding.
• •Better User Experience: Create applications that accurately reflect the intended user experience.

📝 Note: Replay AI is constantly evolving, with new features and improvements being added regularly. Stay tuned for future updates and enhancements.

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.

How is Replay AI different from v0.dev?#

v0.dev primarily uses AI to generate UI components based on text prompts. Replay AI, on the other hand, analyzes video recordings of user interactions to reconstruct entire applications, including the underlying logic and behavior. Replay focuses on understanding the "how" and "why" behind the UI, leading to more functional and accurate code.

What type of video formats does Replay AI support?#

Replay AI supports most common video formats, including MP4, MOV, and AVI.

Can I customize the generated code?#

Yes, the generated code is fully customizable. You can modify the code to meet your specific requirements and integrate it with your existing codebase.

Does Replay AI support different programming languages?#

Currently, Replay AI primarily generates code in TypeScript and React. Support for other programming languages is planned for future releases.

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