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January 5, 20267 min readHow to convert

How to convert a UI video into a production-ready Svelte app with SvelteKit?

R
Replay Team
Developer Advocates

TL;DR: Learn how to use Replay, the video-to-code engine, to convert a UI video into a production-ready SvelteKit application, leveraging its behavior-driven reconstruction capabilities.

The dream of effortlessly transforming design concepts into functional code is closer than ever. While screenshot-to-code tools offer a glimpse into this future, they often fall short by merely replicating visuals. They lack the understanding of user intent and dynamic interactions. This is where Replay steps in, revolutionizing the development workflow by analyzing video input to reconstruct working UIs. This article will guide you through converting a UI video into a production-ready SvelteKit app using Replay.

The Problem with Traditional UI Development#

Building UIs from scratch can be a tedious and time-consuming process. Developers often spend hours translating mockups or design prototypes into functional code. This process is prone to errors, inconsistencies, and communication breakdowns between designers and developers. Screenshot-to-code tools offer some relief, but they're limited by their inability to understand the behavior behind the UI. They simply recreate what they see, not what the user does.

Consider the following scenario: a user clicks a button, which triggers an animation and updates the displayed data. A screenshot-to-code tool would only capture the final state of the UI after the animation completes. It wouldn't understand the button click event, the animation sequence, or the data update logic.

Replay: Behavior-Driven Reconstruction#

Replay tackles this challenge head-on by employing "Behavior-Driven Reconstruction." It analyzes video recordings of UI interactions to understand the user's intent and the underlying logic. This allows Replay to generate code that accurately reflects the dynamic behavior of the UI, not just its static appearance.

Here's a comparison of Replay with other code generation tools:

FeatureScreenshot-to-CodeLow-Code PlatformsReplay
Input TypeScreenshotsDrag-and-Drop UIVideo
Behavior AnalysisLimited
Code QualityBasicOften complexHigh
CustomizationLimitedLimitedExtensive
Learning CurveLowMediumLow
Multi-Page Support
Supabase IntegrationOften

Converting a UI Video to a SvelteKit App: A Step-by-Step Guide#

Let's walk through the process of converting a UI video into a production-ready SvelteKit application using Replay. This example assumes you have a video recording of a simple to-do list application being used. The video should showcase adding tasks, marking them as complete, and deleting them.

Step 1: Preparing Your Environment#

Before you begin, ensure you have the following:

  • Node.js and npm installed on your machine.
  • A Replay account (you can sign up for a free trial).
  • Basic familiarity with SvelteKit.

Step 2: Uploading and Processing the Video#

  1. Log in to your Replay account and upload the video recording of your to-do list application.
  2. Replay will automatically analyze the video, identifying UI elements, user interactions, and data changes. This process might take a few minutes depending on the video length and complexity.
  3. Once the analysis is complete, you'll be presented with a visual representation of the reconstructed UI, along with a code preview.

💡 Pro Tip: Ensure your video is clear and stable for optimal results. Focus the recording on the UI elements and interactions you want to capture.

Step 3: Configuring SvelteKit Output#

Replay allows you to configure the output to generate a SvelteKit project. Select SvelteKit as the desired framework. You can also configure styling options (like Tailwind CSS) and data storage (Supabase integration is seamless).

Step 4: Reviewing and Customizing the Generated Code#

Replay generates Svelte components, routes, and API endpoints that represent the functionality captured in the video. Review the generated code and make any necessary adjustments to match your specific requirements.

Here's an example of a generated Svelte component for displaying a to-do item:

svelte
<!-- src/lib/components/TodoItem.svelte --> <script> export let todo; export let onToggle; export let onDelete; </script> <div class="todo-item"> <input type="checkbox" checked={todo.completed} on:click={onToggle} /> <span class:completed={todo.completed}>{todo.text}</span> <button on:click={onDelete}>Delete</button> </div> <style> .todo-item { display: flex; align-items: center; padding: 0.5rem; border-bottom: 1px solid #ccc; } .completed { text-decoration: line-through; color: #888; } </style>

This component displays a to-do item with a checkbox, text, and a delete button. The

text
onToggle
and
text
onDelete
props allow you to handle the checkbox click and delete button click events.

Step 5: Integrating with Supabase (Optional)#

If you choose to integrate with Supabase, Replay will generate the necessary API endpoints and data models to interact with your Supabase database. This simplifies the process of storing and retrieving to-do items.

Here's an example of a generated API endpoint for fetching to-do items from Supabase:

typescript
// src/routes/api/todos/+server.ts import { supabase } from '$lib/supabaseClient'; import { json } from '@sveltejs/kit'; export async function GET() { const { data, error } = await supabase .from('todos') .select('*') .order('created_at', { ascending: false }); if (error) { return json({ error: error.message }, { status: 500 }); } return json(data); }

This endpoint fetches all to-do items from the

text
todos
table in your Supabase database and returns them as a JSON response.

Step 6: Building and Deploying Your SvelteKit App#

Once you're satisfied with the generated code, you can build and deploy your SvelteKit app using your preferred deployment platform (e.g., Vercel, Netlify).

  1. Run
    text
    npm install
    to install the dependencies.
  2. Run
    text
    npm run build
    to build the app.
  3. Deploy the contents of the
    text
    build
    directory to your chosen platform.

Benefits of Using Replay#

  • Faster Development: Accelerate UI development by automatically generating code from video recordings.
  • Improved Accuracy: Capture dynamic behavior and user intent, resulting in more accurate and functional UIs.
  • Reduced Communication Gaps: Bridge the gap between designers and developers by providing a common visual language.
  • Seamless Integration: Integrate with popular frameworks and tools like SvelteKit and Supabase.
  • Multi-Page Generation: Replay can handle complex, multi-page applications, generating code for entire user flows.
  • Style Injection: Easily inject your preferred styling framework (Tailwind, Material UI, etc.) into the generated code.
  • Product Flow Maps: Visualize the entire user flow captured in the video, providing a clear understanding of the application's structure.

📝 Note: Replay is constantly evolving, with new features and improvements being added regularly. Check the official documentation for the latest updates.

Addressing Potential Challenges#

While Replay significantly simplifies UI development, there are some potential challenges to be aware of:

  • Video Quality: The quality of the video recording can impact the accuracy of the generated code. Ensure the video is clear, stable, and well-lit.
  • Complex Interactions: Complex UI interactions may require manual adjustments to the generated code.
  • Edge Cases: Replay may not be able to handle all edge cases or unusual UI patterns.

⚠️ Warning: Always review and test the generated code thoroughly before deploying it to production.

Frequently Asked Questions#

Is Replay free to use?#

Replay offers a free trial period, allowing you to explore its features and capabilities. Paid plans are available for continued use and access to advanced features.

How is Replay different from v0.dev?#

While both tools aim to accelerate UI development, they differ in their approach. v0.dev primarily uses AI to generate code based on text prompts. Replay, on the other hand, analyzes video recordings of existing UIs to understand user behavior and reconstruct the underlying code. This behavior-driven approach allows Replay to capture dynamic interactions and generate more accurate and functional code.

What frameworks are supported by Replay?#

Replay currently supports React, Vue.js, SvelteKit, and Next.js, with plans to add support for more frameworks in the future.

Can I use Replay to generate code for mobile apps?#

Replay is primarily focused on web applications at the moment, but support for mobile app development is under consideration for future releases.

How secure is the video upload process?#

Replay employs industry-standard security measures to protect your video recordings. All videos are encrypted during transit and at rest.


Ready to try behavior-driven code generation? Get started with Replay - transform any video into working code in seconds.

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