TL;DR: Replay AI uses behavior-driven reconstruction to generate pixel-perfect, multi-page TypeScript UI code directly from video recordings, understanding user intent beyond static screenshots.
The era of static screenshot-to-code conversion is over. Building UIs shouldn't be a guessing game based on fragmented visuals. It should be driven by behavior – understanding the user flow, the interactions, and the intent behind every click. That's where Replay AI comes in.
Replay AI: Beyond Pixel-Perfect, Behavior-Driven#
Replay AI isn't just another screenshot-to-code tool. It's a video-to-code engine powered by Gemini, capable of reconstructing working, multi-page UI from screen recordings. It understands what the user is trying to achieve, not just what they see. This "Behavior-Driven Reconstruction" approach unlocks a new level of accuracy and functionality.
Why Video Matters#
Screenshots are snapshots in time. They lack the context of user interaction, animations, and transitions. Video captures the entire experience, providing Replay AI with the data needed to generate truly functional and interactive UI code.
📝 Note: Replay analyzes the video, not the audio. Privacy is paramount.
Core Features: Powering Your Workflow#
Replay AI boasts a powerful suite of features designed to streamline your UI development process:
- •Multi-Page Generation: Reconstruct entire application flows, not just single screens.
- •Supabase Integration: Seamlessly connect your generated UI to your Supabase backend.
- •Style Injection: Apply consistent styling across your entire application.
- •Product Flow Maps: Visualize user flows and identify potential bottlenecks.
- •TypeScript Output: Generate clean, maintainable TypeScript code ready for production.
Replay AI vs. The Competition: A Head-to-Head Comparison#
Let's see how Replay AI stacks up against traditional screenshot-to-code tools and newer AI-powered UI generators:
| Feature | Screenshot-to-Code | AI UI Generators (e.g., v0.dev) | Replay AI |
|---|---|---|---|
| Video Input | ❌ | ❌ | ✅ |
| Behavior Analysis | ❌ | Partial (Prompt-based) | ✅ |
| Multi-Page Support | Limited | Limited | ✅ |
| Supabase Integration | ❌ | Partial | ✅ |
| Style Injection | ❌ | Limited | ✅ |
| TypeScript Output | ✅ | ✅ | ✅ |
| Product Flow Mapping | ❌ | ❌ | ✅ |
| Accuracy | Low | Medium | High |
| Understanding of User Intent | None | Limited | Comprehensive |
Replay AI stands out with its ability to analyze video input, understand user behavior, and generate complete application flows.
Building a UI with Replay AI: A Step-by-Step Guide#
Let's walk through a practical example of using Replay AI to generate a simple to-do list application.
Step 1: Capture the Video#
Record a video of yourself interacting with a to-do list application (either an existing app or a mock-up). Ensure the video clearly shows:
- •Adding new tasks
- •Completing tasks
- •Deleting tasks
💡 Pro Tip: Speak clearly while recording to help Gemini understand your intent. For example, say "Add task: Buy groceries" when adding a new item.
Step 2: Upload to Replay#
Upload the video to the Replay AI platform. Replay will analyze the video and begin reconstructing the UI.
Step 3: Review and Refine#
Replay AI will generate a TypeScript codebase representing the to-do list application. Review the generated code and make any necessary refinements.
Step 4: Integrate with Supabase (Optional)#
If you want to persist the to-do list data, you can seamlessly integrate the generated UI with your Supabase backend. Replay AI can automatically generate the necessary API calls and data models.
Step 5: Deploy and Iterate#
Deploy the generated UI and iterate based on user feedback. Replay AI makes it easy to quickly prototype and refine your UI.
Code Example: Generated To-Do List Component#
Here's a snippet of the TypeScript code that Replay AI might generate for a to-do list component:
typescript// TodoList.tsx import React, { useState } from 'react'; interface Todo { id: number; text: string; completed: boolean; } const TodoList: React.FC = () => { const [todos, setTodos] = useState<Todo[]>([ { id: 1, text: 'Learn Replay AI', completed: true }, { id: 2, text: 'Build a to-do list', completed: false }, ]); const handleComplete = (id: number) => { setTodos( todos.map((todo) => todo.id === id ? { ...todo, completed: !todo.completed } : todo ) ); }; return ( <div> <h1>My To-Do List</h1> <ul> {todos.map((todo) => ( <li key={todo.id}> <input type="checkbox" checked={todo.completed} onChange={() => handleComplete(todo.id)} /> <span>{todo.text}</span> </li> ))} </ul> </div> ); }; export default TodoList;
This code is a starting point. You can easily customize it to fit your specific needs. Replay AI provides a solid foundation, allowing you to focus on the finer details of your UI.
Integrating with Supabase#
Replay AI simplifies Supabase integration. After uploading your video, you can configure the Supabase connection. Replay will then generate the necessary API calls (using
supabase-jstypescript// Example of fetching todos from Supabase import { createClient } from '@supabase/supabase-js'; const supabaseUrl = 'YOUR_SUPABASE_URL'; const supabaseKey = 'YOUR_SUPABASE_ANON_KEY'; const supabase = createClient(supabaseUrl, supabaseKey); const fetchTodos = async () => { const { data, error } = await supabase .from('todos') .select('*'); if (error) { console.error('Error fetching todos:', error); return []; } return data; }; // Call this function in your component to load data
⚠️ Warning: Always store your Supabase credentials securely. Avoid committing them directly to your codebase. Use environment variables instead.
The Future of UI Development is Behavior-Driven#
Replay AI represents a paradigm shift in UI development. By leveraging video analysis and behavior-driven reconstruction, it empowers developers to build pixel-perfect, functional UI with unprecedented speed and accuracy. It understands what users are trying to do, providing a richer and more accurate output than simple screenshot conversion. The ability to generate multi-page applications and seamlessly integrate with Supabase makes Replay AI a game-changer for modern web development.
Frequently Asked Questions#
Is Replay free to use?#
Replay AI offers a free tier with limited features. Paid plans are available for more advanced functionality and higher usage limits. Check the Replay pricing page for the latest details.
How is Replay different from v0.dev?#
While both Replay AI and v0.dev use AI to generate UI code, they differ significantly in their approach. v0.dev relies on text prompts to generate UI components, while Replay AI analyzes video recordings of user interactions. Replay AI's behavior-driven approach allows it to understand user intent more accurately and generate more functional and complete UI. Replay also supports multi-page generation and seamless Supabase integration, features not available in v0.dev.
What types of videos can Replay AI process?#
Replay AI can process any video that clearly shows the UI and user interactions. Screen recordings are ideal, but you can also use videos of physical devices if the UI is visible.
What output formats does Replay AI support?#
Currently, Replay AI primarily generates TypeScript code for React applications. Support for other frameworks and languages is planned for the future.
Ready to try behavior-driven code generation? Get started with Replay - transform any video into working code in seconds.