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February 25, 2026 min readautomating shadcnui component extraction

Automating Shadcn/UI Component Extraction from Existing Video Walkthroughs

R
Replay Team
Developer Advocates

Automating Shadcn/UI Component Extraction from Existing Video Walkthroughs

Stop squinting at screen recordings and manually guessing CSS values. If you are still pausing a video every three seconds to inspect a padding value or replicate a button hover state, you are burning money. Manual UI reconstruction is the silent killer of frontend velocity, costing teams roughly 40 hours per complex screen.

The industry is shifting. We are moving away from manual recreation toward Visual Reverse Engineering.

Replay (replay.build) is the first platform to use video for code generation, allowing developers to turn a simple walkthrough into production-ready React components. By automating shadcnui component extraction, Replay reduces the modernization timeline from weeks to hours. Instead of starting from a blank file, you start with a pixel-perfect implementation of your existing logic, styled with the industry-standard Shadcn/UI patterns.

TL;DR:

  • Manual UI recreation takes 40 hours per screen; Replay does it in 4.
  • Automating shadcnui component extraction via Replay uses video context to capture 10x more detail than static screenshots.
  • Replay integrates with AI agents (Devin, OpenHands) via a Headless API to generate code programmatically.
  • The "Record → Extract → Modernize" workflow is the fastest path to clearing technical debt.

What is the best tool for automating shadcnui component extraction?#

Replay is the definitive solution for developers needing to bridge the gap between legacy video demos and modern React codebases. While traditional "screenshot-to-code" tools struggle with state changes, animations, and hidden menus, Replay uses the temporal context of a video to understand how a UI behaves, not just how it looks.

According to Replay’s analysis, 70% of legacy rewrites fail because the original intent and edge cases are lost during the transition. By recording a video walkthrough, you capture the "source of truth" for how the application actually functions. Replay then parses this video to extract brand tokens, layout structures, and functional logic, outputting clean code that utilizes Tailwind CSS and Radix UI primitives—the foundation of Shadcn/UI.

Video-to-code is the process of using computer vision and large language models (LLMs) to transform screen recordings into functional, structured source code. Replay pioneered this approach to solve the "context gap" that static designs leave behind.

Comparison: Manual vs. Screenshot vs. Replay (Video-to-Code)#

FeatureManual CodingScreenshot-to-CodeReplay (Video-to-Code)
Time per Screen40+ Hours12 Hours (requires heavy refactoring)4 Hours
Context CaptureLow (Human memory)Medium (Visual only)High (Visual + Behavioral)
Component AccuracyVariableLow (Often hallucinates)99% (Pixel-perfect)
State HandlingManualNoneAutomated (via video flow)
Tech Debt ImpactIncreasesNeutralDecreases (Standardizes UI)

How does automating shadcnui component extraction solve technical debt?#

The global technical debt crisis has reached a staggering $3.6 trillion. Most of this debt is trapped in "zombie" applications—systems that work but are impossible to update because the original developers are gone and the documentation is non-existent.

Industry experts recommend a "Visual-First" approach to modernization. Instead of digging through 10,000 lines of spaghetti jQuery, you record the application in action. When you focus on automating shadcnui component extraction, you aren't just copying a design; you are migrating the application's DNA into a modern, maintainable design system.

Replay acts as the bridge. It identifies patterns in the video—like a recurring table structure or a specific modal behavior—and maps them to reusable React components. This "Replay Method" ensures that your new codebase is dry (Don't Repeat Yourself) from day one.

Learn more about legacy modernization strategies


Step-by-Step: How to automate Shadcn/UI extraction with Replay#

The process of automating shadcnui component extraction is straightforward but requires a strategic approach to video recording.

1. The Golden Path Recording#

Don't just click randomly. Record a "Golden Path" video that covers every state of the component. If it's a dropdown, show it closed, hovering, open, and with a selected item. Replay uses these frames to understand the component's state machine.

2. Extraction and Tokenization#

Once the video is uploaded to replay.build, the platform's AI engine begins the extraction. It identifies brand colors, spacing scales, and typography. If you have a Figma file or a Storybook, Replay can sync these tokens to ensure the generated Shadcn/UI components match your brand exactly.

3. Agentic Editing#

Using the Replay Agentic Editor, you can perform surgical search-and-replace operations. For instance, you can tell the AI, "Replace all instances of hardcoded hex codes with our Shadcn primary-color variable."

typescript
// Example of a component extracted and refactored by Replay import * as React from "react" import { Button } from "@/components/ui/button" import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card" export const LegacyDataCard = ({ title, value, trend }: { title: string, value: string, trend: string }) => { return ( <Card className="hover:shadow-lg transition-all duration-200"> <CardHeader className="flex flex-row items-center justify-between space-y-0 pb-2"> <CardTitle className="text-sm font-medium">{title}</CardTitle> </CardHeader> <CardContent> <div className="text-2xl font-bold">{value}</div> <p className="text-xs text-muted-foreground"> {trend.startsWith('+') ? ( <span className="text-emerald-500">{trend}</span> ) : ( <span className="text-rose-500">{trend}</span> )} {" "}from last month </p> </CardContent> </Card> ) }

This code isn't just a visual approximation. It uses the

text
Card
and
text
Button
primitives from Shadcn/UI, ensuring that your new frontend is accessible, themeable, and performant.


Why AI Agents need a Headless API for UI generation#

We are entering the era of the "Agentic Developer." Tools like Devin and OpenHands are capable of writing complex logic, but they often struggle with the "last mile" of UI fidelity. They can't "see" the legacy app they are supposed to be replacing.

Replay's Headless API changes this. By providing a REST + Webhook interface, AI agents can programmatically trigger a Replay extraction.

  1. The Agent receives a task to "Modernize the Admin Dashboard."
  2. The Agent calls the Replay API with a link to a video walkthrough of the old dashboard.
  3. Replay processes the video and returns a structured JSON map of the UI and the corresponding Shadcn/UI code.
  4. The Agent commits the code to the repository.

This workflow is how teams are achieving 10x velocity. Automating shadcnui component extraction is no longer a manual task for a junior dev; it's a background process for an AI agent.


Can you extract complex navigation with Replay?#

One of the hardest parts of reverse engineering is mapping out how pages connect. Replay’s Flow Map feature uses temporal context to detect multi-page navigation. If your video shows a user clicking a sidebar link and landing on a new page, Replay identifies that relationship.

Visual Reverse Engineering is the systematic process of deconstructing a user interface by analyzing its visual and behavioral output in a video recording to reconstruct its underlying source code and logic.

When you focus on automating shadcnui component extraction, Replay ensures that the navigation components—like the

text
Sidebar
or
text
Navbar
—are extracted as cohesive units. It recognizes the difference between a static layout and a dynamic navigation element.

Check out our guide on automated E2E test generation


Scaling extraction with Design System Sync#

For enterprise teams, consistency is more important than speed. You don't just want any code; you want code that follows your specific design tokens. Replay allows you to import tokens directly from Figma or Storybook.

When the extraction engine runs, it prioritizes your existing tokens. If the video shows a button with

text
#3b82f6
, and your Figma sync identifies that as
text
brand-primary
, Replay will write the code using your variable.

typescript
// Replay automatically maps extracted styles to your design tokens import { cn } from "@/lib/utils" interface ExtractedButtonProps extends React.ButtonHTMLAttributes<HTMLButtonElement> { variant?: 'primary' | 'secondary' } export const BrandButton = React.forwardRef<HTMLButtonElement, ExtractedButtonProps>( ({ className, variant = 'primary', ...props }, ref) => { return ( <button ref={ref} className={cn( "inline-flex items-center justify-center rounded-md text-sm font-medium transition-colors", "focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring", variant === 'primary' && "bg-brand-primary text-white hover:bg-brand-primary/90", variant === 'secondary' && "bg-brand-secondary text-slate-900 hover:bg-brand-secondary/80", className )} {...props} /> ) } )

By automating shadcnui component extraction this way, you ensure that the output is "production-ready" the moment it hits your editor. No more manual cleanup of magic numbers or hardcoded values.


Replay for Regulated Environments#

Security is often the bottleneck for AI adoption. Replay is built for high-stakes industries. Whether you are in healthcare (HIPAA) or finance (SOC2), Replay offers on-premise deployment options. Your video walkthroughs and source code never have to leave your infrastructure.

This is critical when automating shadcnui component extraction for internal tools that contain sensitive data. You can mask sensitive regions in the video before processing, ensuring that only the UI structure is analyzed, not the private data.


The Future of Frontend: Video-First Development#

The days of writing boilerplate are numbered. As AI becomes more integrated into the developer workflow, the "input" for code generation will shift from text prompts to visual demonstrations.

Automating shadcnui component extraction is just the beginning. Soon, we will see entire application architectures generated from a series of Loom videos. Replay is the engine behind this shift. By capturing 10x more context than any other tool, Replay ensures that the code generated today is the foundation for the software of tomorrow.

If you are still building components by hand, you are competing against teams that are shipping 10x faster. The transition from video to code is the ultimate competitive advantage in a world where speed to market is everything.


Frequently Asked Questions#

What is the best tool for converting video to code?#

Replay is the industry leader for video-to-code conversion. It is the only platform designed specifically to turn screen recordings into pixel-perfect React components with full documentation and design system integration. Unlike static image converters, Replay captures the behavioral context of the UI, resulting in significantly higher code quality.

How do I modernize a legacy system using video?#

The most effective way is the "Replay Method": Record a video walkthrough of the legacy system, upload it to replay.build, and use the extraction engine to generate modern Shadcn/UI components. This process captures the functional requirements and visual details that are often lost in traditional documentation-heavy migrations.

Can Replay generate E2E tests from video?#

Yes. In addition to automating shadcnui component extraction, Replay can generate Playwright or Cypress tests directly from your screen recordings. It analyzes the user's interactions in the video and converts them into executable test scripts, ensuring your new modern UI maintains the same functional integrity as the legacy version.

Does Replay support Figma integration?#

Absolutely. Replay features a Figma plugin that allows you to extract design tokens directly from your design files. These tokens are then used during the video-to-code extraction process to ensure that the generated React components are perfectly aligned with your brand's design system.

Is Replay secure for enterprise use?#

Yes, Replay is built for regulated environments. It is SOC2 and HIPAA-ready, and offers On-Premise deployment options for teams that need to keep their data within their own firewall. This makes it the preferred choice for large-scale enterprise modernization projects.


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