TL;DR: Replay leverages video analysis and behavior-driven reconstruction to generate functional UI code, excelling in complex animations and user flow understanding where Cursor's screenshot-based approach falls short.
The promise of AI-powered code generation is here, and two tools are vying for your attention: Replay and Cursor. While both aim to streamline UI development, their approaches and capabilities differ significantly, particularly when it comes to handling complex animations derived from video input. This article will dive into a head-to-head comparison, focusing on how each tool performs with video-based animation reconstruction.
Understanding the Core Difference: Behavior vs. Visuals#
The fundamental divergence between Replay and Cursor lies in their input and analysis methods. Cursor primarily relies on screenshots as its source of truth. It analyzes static images and attempts to reconstruct code based on visual elements. Replay, on the other hand, leverages video. This enables it to understand behavior – the sequence of user actions, transitions, and animations that drive the UI. This "Behavior-Driven Reconstruction" is what sets Replay apart.
| Feature | Cursor | Replay |
|---|---|---|
| Input Type | Screenshots | Video |
| Analysis Method | Visual Element Recognition | Behavior Analysis & User Flow Mapping |
| Animation Reconstruction | Limited, based on visual cues | Comprehensive, based on behavioral data |
| Multi-Page Support | Limited | ✅ |
| Supabase Integration | ❌ | ✅ |
| Style Injection | ❌ | ✅ |
| Product Flow Maps | ❌ | ✅ |
As you can see, Replay goes beyond simple visual recognition. By analyzing the video, it can infer the intent behind user interactions, leading to more accurate and functional code generation, especially for complex animations.
Reconstructing Complex Animations: A Practical Example#
Let's consider a scenario: reconstructing a complex animation involving a modal window sliding in from the side, accompanied by a fading overlay, and subsequent content appearing with a staggered delay.
Cursor, working from a screenshot of the final state, might be able to identify the modal and overlay elements. However, it would struggle to accurately recreate the animation sequence – the slide-in effect, the fading, and the staggered content appearance. It lacks the temporal information needed to understand the how and when of the animation.
Replay, on the other hand, analyzes the video recording of this interaction. It understands the sequence of events:
- •The trigger event (e.g., a button click).
- •The modal window sliding in.
- •The overlay fading in.
- •The content elements appearing with delays.
This behavioral understanding allows Replay to generate code that accurately reflects the animation's timing, easing, and dependencies.
Step 1: Capturing the Animation with Replay#
First, record a video of the animation using any screen recording tool. Ensure the video clearly captures the entire user interaction flow.
Step 2: Uploading to Replay and Code Generation#
Upload the video to Replay. Replay's AI engine will analyze the video, identify UI elements, and reconstruct the code, including the animation logic.
Step 3: Examining the Generated Code#
Replay will output code similar to the following (depending on your chosen framework):
typescript// Example React code generated by Replay import React, { useState, useEffect } from 'react'; import styled, { keyframes } from 'styled-components'; const slideIn = keyframes` from { transform: translateX(100%); opacity: 0; } to { transform: translateX(0); opacity: 1; } `; const fadeIn = keyframes` from { opacity: 0; } to { opacity: 0.5; } `; const ModalWrapper = styled.div` position: fixed; top: 0; left: 0; width: 100%; height: 100%; display: flex; justify-content: center; align-items: center; z-index: 1000; `; const Overlay = styled.div` position: absolute; top: 0; left: 0; width: 100%; height: 100%; background-color: black; opacity: 0; animation: ${fadeIn} 0.3s ease-in-out forwards; `; const ModalContent = styled.div` background-color: white; padding: 20px; border-radius: 5px; animation: ${slideIn} 0.5s ease-in-out forwards; `; const StaggeredContent = styled.p` opacity: 0; animation: fadeIn 0.5s ease-in-out forwards; animation-delay: ${props => props.delay}s; `; const MyComponent = () => { const [isOpen, setIsOpen] = useState(false); useEffect(() => { setIsOpen(true); // Trigger modal on mount (example) }, []); return ( {isOpen && ( <ModalWrapper> <Overlay /> <ModalContent> <h1>Modal Title</h1> <StaggeredContent delay={0.2}>First Paragraph</StaggeredContent> <StaggeredContent delay={0.4}>Second Paragraph</StaggeredContent> </ModalContent> </ModalWrapper> )} ); }; export default MyComponent;
💡 Pro Tip: Replay can often identify the specific easing functions used in the animation, resulting in a more faithful recreation.
This code snippet demonstrates how Replay can generate the necessary CSS keyframes and React components to recreate the animation accurately. The
slideInfadeInStaggeredContentanimation-delayBeyond Animations: Understanding User Flows#
Replay's advantage extends beyond individual animations. It can map entire product flows by analyzing video recordings of user interactions across multiple pages. This allows it to generate code that accurately reflects the navigation and data flow within the application. Cursor, limited to single-screenshot analysis, cannot achieve this level of understanding.
⚠️ Warning: While Replay strives for complete accuracy, complex or unconventional animations might require manual adjustments to the generated code.
Additional Replay Features that Enhance Development:#
- •Multi-page generation: Create complete user interfaces spanning multiple screens from a single video recording.
- •Supabase integration: Seamlessly connect your generated UI to your Supabase backend for data persistence.
- •Style injection: Replay intelligently infers and applies styling from the video, reducing the need for manual CSS adjustments.
- •Product Flow maps: Visualize and understand the user's journey through your application.
When Might Cursor Be a Better Choice?#
While Replay excels with complex animations and user flows, Cursor might be a suitable option for simpler UI elements or static designs. If you primarily need to generate code from basic screenshots without intricate animations, Cursor could offer a faster initial solution. However, for anything beyond the most basic visual reconstruction, Replay's behavior-driven approach provides a significant advantage.
| Criteria | Cursor | Replay |
|---|---|---|
| Speed for simple UIs | ✅ | |
| Complex animations | ❌ | ✅ |
| User flow understanding | ❌ | ✅ |
| Video-based input | ❌ | ✅ |
| Accuracy for dynamic elements | ❌ | ✅ |
📝 Note: The generated code from both tools is a starting point. It's crucial to review and refine the code to ensure it meets your specific requirements and coding standards.
Frequently Asked Questions#
Is Replay free to use?#
Replay offers a free tier with limited usage, allowing you to experiment with its capabilities. Paid plans are available for more extensive use and advanced features.
How is Replay different from v0.dev?#
While both aim to generate code, v0.dev relies on text prompts and predefined components. Replay analyzes video to understand user behavior and reconstruct the UI, offering a more accurate and behavior-driven approach. Replay focuses on reconstructing existing UIs from video, while v0.dev creates UIs from scratch based on text prompts.
What frameworks does Replay support?#
Replay currently supports popular frameworks like React, Vue.js, and HTML/CSS. Support for additional frameworks is continuously being added.
How accurate is the generated code?#
Replay strives for high accuracy, but the complexity of the animation and UI design can impact the results. It's always recommended to review and refine the generated code.
Ready to try behavior-driven code generation? Get started with Replay - transform any video into working code in seconds.