TL;DR: Replay reconstructs a functional Svelte UI from a Zoom meeting video, capturing user interactions and generating corresponding code.
The promise of AI-powered code generation is finally being realized, but most tools still rely on static screenshots. This misses the crucial element of behavior. What if you could feed a video of a user interacting with an interface into an AI, and have it reconstruct not just the UI, but also the logic behind it? That's the power of Replay.
Let's walk through a concrete example: turning a Zoom meeting UI demonstration into a working Svelte application using Replay.
The Problem: Recreating UI from Observational Data#
Imagine you're tasked with replicating a UI demonstrated in a Zoom meeting. You have the recording, but manually transcribing the UI elements and their interactions is time-consuming and error-prone. Screenshot-to-code tools fall short because they can't understand the flow of the demonstration – the series of actions and their consequences.
Here's the challenge:
- •Static screenshots lack context: They don't capture user actions.
- •Manual transcription is tedious: It's prone to errors and takes a long time.
- •Existing tools are limited: They primarily focus on visual elements, not behavior.
Replay: Behavior-Driven UI Reconstruction#
Replay tackles this problem head-on by analyzing video input to understand user behavior. It's not just about recognizing UI elements; it's about understanding what the user is trying to achieve. This "Behavior-Driven Reconstruction" allows Replay to generate more accurate and functional code.
Here's how Replay differs from traditional screenshot-to-code tools:
| Feature | Screenshot-to-Code | Replay |
|---|---|---|
| Input | Static Images | Video |
| Behavior Analysis | ❌ | ✅ |
| Understanding | Visual Elements | User Intent & Flow |
| Output | UI Skeleton | Functional UI with Basic Logic |
| Multi-Page Support | Limited | ✅ |
Building a Svelte App from a Zoom Recording: Step-by-Step#
Let's say our Zoom recording features a user demonstrating a simple task management application. The user adds tasks, marks them as complete, and deletes them. Here's how we'd use Replay to reconstruct this in Svelte:
Step 1: Upload the Zoom Recording to Replay#
The first step is to upload the Zoom meeting recording to the Replay platform. Replay supports various video formats, ensuring compatibility with most meeting recording tools.
Step 2: Replay Analyzes the Video#
Replay's engine analyzes the video, identifying UI elements, user interactions (clicks, typing, scrolling), and the flow of the application. This process leverages Gemini to understand the context and purpose of each action.
Step 3: Generate the Svelte Code#
Once the analysis is complete, Replay generates the Svelte code for the UI. This includes:
- •Svelte components for each UI element (buttons, input fields, lists).
- •Event handlers for user interactions (e.g., handlers for buttons).text
onClick - •Basic state management to handle data updates (e.g., adding, deleting, and marking tasks as complete).
Here's a snippet of the generated Svelte code for adding a task:
svelte<!-- TaskInput.svelte --> <script> let taskName = ""; const addTask = () => { if (taskName.trim() !== "") { dispatch('add', taskName); taskName = ""; } }; import { createEventDispatcher } from 'svelte'; const dispatch = createEventDispatcher(); </script> <input type="text" bind:value={taskName} placeholder="Add a new task" /> <button on:click={addTask}>Add</button>
💡 Pro Tip: Replay often generates well-structured and commented code, making it easier to understand and customize.
Step 4: Integrate with Supabase (Optional)#
Replay offers seamless integration with Supabase, allowing you to persist the task data in a database. This can be configured directly within the Replay interface, automatically generating the necessary API calls to interact with your Supabase instance.
Step 5: Style Injection (Optional)#
Replay can also infer and inject basic styling based on the visual appearance of the UI in the video. This gives you a starting point for styling your Svelte application, which you can then customize further using CSS or a CSS framework like Tailwind CSS.
Step 6: Refine and Customize#
While Replay generates a functional UI, you'll likely need to refine and customize the code to meet your specific requirements. This might involve:
- •Adding more sophisticated state management (e.g., using Svelte stores or a state management library like Redux).
- •Implementing more complex logic and validation.
- •Improving the styling and user experience.
Advantages of Using Replay#
- •Speed: Significantly reduces the time required to recreate UI from observational data.
- •Accuracy: Captures user behavior, leading to more accurate and functional code.
- •Automation: Automates the tedious process of transcribing UI elements and interactions.
- •Collaboration: Facilitates collaboration by providing a clear and concise representation of the UI.
- •Learning: Analyze user flows in existing applications to identify areas for improvement.
Example: Product Flow Map#
Replay also generates a "Product Flow Map" which visualizes the user's journey through the application. This is incredibly useful for understanding the user's mental model and identifying potential bottlenecks or areas for improvement.
📝 Note: The accuracy of the generated code depends on the quality of the video and the clarity of the user's interactions.
Code Example: Handling Task Completion#
Here's an example of the generated Svelte code for marking a task as complete:
svelte<!-- TaskItem.svelte --> <script> export let task; import { createEventDispatcher } from 'svelte'; const dispatch = createEventDispatcher(); const toggleComplete = () => { dispatch('toggle', task.id); }; </script> <li class:completed={task.completed}> <input type="checkbox" checked={task.completed} on:click={toggleComplete} /> <span>{task.name}</span> </li> <style> .completed { text-decoration: line-through; color: gray; } </style>
⚠️ Warning: Replay is a powerful tool, but it's not a replacement for skilled developers. The generated code provides a solid foundation, but it often requires further refinement and customization.
Frequently Asked Questions#
Is Replay free to use?#
Replay offers a free tier with limited features and usage. Paid plans are available for more advanced features and higher usage limits.
How is Replay different from v0.dev?#
v0.dev primarily generates UI components based on text prompts. Replay, on the other hand, analyzes video recordings to understand user behavior and reconstruct the entire application flow. Replay focuses on behavior-driven code generation, while v0.dev focuses on prompt-driven generation.
What frameworks does Replay support?#
Currently, Replay supports Svelte, React, and Vue.js. Support for additional frameworks is planned for future releases.
What type of video formats does Replay support?#
Replay supports common video formats such as MP4, MOV, and AVI.
Conclusion#
Replay represents a significant step forward in AI-powered code generation. By analyzing video recordings and understanding user behavior, Replay can generate more accurate and functional code than traditional screenshot-to-code tools. This can save developers significant time and effort, allowing them to focus on more complex tasks. Turning a Zoom meeting UI into a working Svelte app is now within reach, thanks to the power of behavior-driven reconstruction.
Ready to try behavior-driven code generation? Get started with Replay - transform any video into working code in seconds.