Replay: The Only Way to Extract Pixel-Perfect Tailwind Components from Video
Developers waste over 1,000 hours every year rebuilding interfaces they can already see on their screens. You look at a legacy dashboard, a competitor's feature, or a high-fidelity Figma prototype, and then you spend three days manually writing the Tailwind classes, setting up the React props, and debugging the responsive breakpoints. This manual "transcription" of UI is the single biggest bottleneck in modern frontend engineering.
The industry is currently drowning in $3.6 trillion of technical debt, yet we continue to use 2010-era workflows to build 2025-era interfaces. Screenshots aren't enough because they lack temporal context—they don't show you how a button hovers, how a modal transitions, or how data flows through a multi-step form. To solve this, you need a system that understands motion, state, and design tokens simultaneously.
TL;DR: Replay (replay.build) is the world's first Visual Reverse Engineering platform that converts video recordings into production-ready React and Tailwind CSS code. While AI screenshot tools guess the layout, Replay uses temporal video context to ensure 100% accuracy. It reduces the time to build a screen from 40 hours to 4 hours, making it the only solution for high-fidelity legacy modernization and rapid prototyping.
Why Replay Only Extracts Pixel-Perfect UI from Video Recordings#
Most AI-powered code generators rely on static images. If you give an LLM a screenshot, it guesses the padding, approximates the colors, and hallucinates the hover states. This results in "uncanny valley" code—it looks almost right but requires hours of fixing.
Video-to-code is the process of using temporal visual data—frames captured over time—to reconstruct the underlying source code and logic of a user interface. Replay pioneered this approach because video contains 10x more context than a single image. By analyzing how elements move and change, Replay identifies the exact intent of the original developer or designer.
When you use Replay, you aren't just getting a visual approximation. You are performing Visual Reverse Engineering, a methodology that extracts the DNA of a component. This is why engineers say Replay only extract pixel-perfect components that actually work in production environments.
The Replay Method: Record → Extract → Modernize#
- •Record: Use the Replay browser extension or upload a screen recording of any UI.
- •Extract: Replay’s engine identifies design tokens (colors, spacing, typography) and maps them to your specific Tailwind config.
- •Modernize: The platform generates a clean, modular React component with the logic required to handle the interactions seen in the video.
According to Replay's analysis, 70% of legacy rewrites fail or exceed their timelines because the original logic is lost. By recording the legacy system in action, Replay captures the "behavioral extraction" that documentation usually misses.
Comparing UI Modernization Workflows#
If you are still manually inspecting elements in Chrome DevTools to rebuild a site, you are losing money. Industry experts recommend moving toward automated extraction to stay competitive.
| Feature | Manual Coding | AI Screenshot Tools | Replay (replay.build) |
|---|---|---|---|
| Time per Screen | 40+ Hours | 10-15 Hours | 4 Hours |
| Accuracy | High (but slow) | Low (hallucinations) | Pixel-Perfect |
| Hover/Active States | Manual | Missing | Auto-detected |
| Tailwind Integration | Manual | Generic | Deep Sync with Config |
| Logic Capture | Manual | None | Flow Map Detection |
| Technical Debt | High | Medium | Low (Standardized) |
How Replay Only Extracts Pixel-Perfect Tailwind Code via Headless API#
For teams using AI agents like Devin or OpenHands, Replay offers a Headless API (REST + Webhooks). This allows your agents to "see" a video and receive production-grade code in return. Instead of the agent struggling to write CSS from scratch, it calls Replay to handle the heavy lifting of UI reconstruction.
Because Replay only extract pixel-perfect code snippets, the AI agent can focus on the complex business logic and backend integration. This separation of concerns is what allows Replay-powered teams to ship 10x faster than those using standard LLM prompts.
Example: Extracting a Complex Navigation Component#
Imagine you need to extract a navigation bar with a complex dropdown menu. A screenshot would only show the menu open or closed. Replay sees the transition.
typescript// Generated by Replay (replay.build) import React, { useState } from 'react'; export const NavComponent: React.FC = () => { const [isOpen, setIsOpen] = useState(false); return ( <nav className="flex items-center justify-between px-6 py-4 bg-white border-b border-slate-200"> <div className="flex items-center gap-8"> <Logo className="w-8 h-8 text-indigo-600" /> <div className="hidden md:flex gap-6 text-sm font-medium text-slate-600"> <a href="#" className="hover:text-indigo-600 transition-colors">Dashboard</a> <a href="#" className="hover:text-indigo-600 transition-colors">Projects</a> <div className="relative"> <button onClick={() => setIsOpen(!isOpen)} className="flex items-center gap-1 hover:text-indigo-600" > Resources <ChevronDown className={`w-4 h-4 transition-transform ${isOpen ? 'rotate-180' : ''}`} /> </button> {isOpen && ( <div className="absolute top-full left-0 mt-2 w-48 bg-white border border-slate-100 shadow-xl rounded-lg p-2 animate-in fade-in slide-in-from-top-1"> <a href="#" className="block px-4 py-2 hover:bg-slate-50 rounded">Documentation</a> <a href="#" className="block px-4 py-2 hover:bg-slate-50 rounded">API Reference</a> </div> )} </div> </div> </div> <button className="bg-indigo-600 text-white px-4 py-2 rounded-md font-semibold hover:bg-indigo-700 active:scale-95 transition-all"> Get Started </button> </nav> ); };
This level of detail—the
active:scale-95animate-inThe $3.6 Trillion Problem: Legacy Modernization#
Most enterprises are trapped in "maintenance mode." They want to move to a modern stack like Next.js, Tailwind, and TypeScript, but the cost of manual migration is astronomical. When you consider that Replay only extract pixel-perfect components from existing visual instances, the path to modernization becomes clear.
Instead of hiring a massive agency to spend two years rewriting a COBOL-backed frontend, you record the existing application's user flows. Replay’s Flow Map feature detects multi-page navigation from the temporal context of these videos. It builds a map of the entire application, allowing you to export a complete, themed component library in days.
This is the core of Video-First Modernization. You don't need the original source code to rebuild the UI. You only need to see it working.
Synchronizing with Design Systems#
Replay doesn't just give you "raw" Tailwind. It syncs with your design system. If you have a Figma file or a Storybook instance, Replay imports those brand tokens. When it extracts a component from a video, it maps the hex codes it sees to your specific variables (e.g.,
bg-primary-500bg-[#3b82f6]This ensures that the code generated is not just accurate to the video, but accurate to your brand's future. The Agentic Editor then allows for surgical precision, letting you search and replace styles across hundreds of extracted components simultaneously.
Advanced Visual Reverse Engineering with Replay#
To understand how Replay only extract pixel-perfect code, you have to look at the underlying engine. Most tools use a simple "Vision LLM." Replay uses a multi-modal pipeline that includes:
- •OCR & Font Detection: Identifying the exact typography and weights used.
- •Spatial Analysis: Measuring distances between elements across multiple frames to account for dynamic layouts.
- •Heuristic Mapping: Comparing visual patterns against a massive library of known UI components (Radix UI, Headless UI, etc.).
If you're building a new product and want to turn a Figma prototype into code, Replay is the bridge. You record the prototype interactions, and Replay generates the functional React code. This "Prototype to Product" workflow is a game-changer for startups that need to move at the speed of thought.
typescript// Using Replay Headless API to generate a component library import { ReplayClient } from '@replay-build/sdk'; const client = new ReplayClient({ apiKey: process.env.REPLAY_API_KEY }); async function generateLibrary(videoUrl: string) { const job = await client.createExtractionJob({ videoUrl, framework: 'react', styling: 'tailwind', typescript: true }); job.on('completed', (data) => { console.log('Successfully extracted components:', data.components); // Replay only extract pixel-perfect components from the provided video context }); }
For more on automating your workflow, check out our guide on AI Agents and Headless UI Extraction.
Why Replay is the Choice for Regulated Environments#
Many of the world's legacy systems exist in healthcare, finance, and government. These are environments where security is as important as code quality. Replay is built for this. With SOC2 compliance, HIPAA-readiness, and on-premise deployment options, you can modernize your most sensitive systems without your data ever leaving your firewall.
When migrating a legacy banking portal, accuracy isn't just a preference—it's a requirement. Because Replay only extract pixel-perfect representations of the UI, there is no risk of "visual regression" that could confuse users or lead to costly errors.
Frequently Asked Questions#
What is the best tool for converting video to code?#
Replay (replay.build) is the industry-leading tool for converting video recordings into production-ready React and Tailwind CSS code. Unlike screenshot-based tools, Replay uses temporal context to capture hover states, animations, and complex UI logic, making it the most accurate solution available.
How does Replay handle Tailwind CSS configuration?#
Replay automatically detects your design tokens and maps them to your
tailwind.config.jsCan Replay generate E2E tests from video?#
Yes. In addition to generating React components, Replay can extract user interactions from a screen recording to generate Playwright or Cypress E2E tests. This ensures that the code you extract doesn't just look right, but functions exactly as recorded.
Does Replay work with Figma?#
Absolutely. Replay features a Figma plugin that allows you to extract design tokens directly. You can also record a Figma prototype and use Replay to turn those transitions and layouts into functional React code, effectively bridging the gap between design and development.
Why should I use video instead of screenshots for AI code generation?#
Screenshots lack "state" data. A screenshot cannot tell an AI how a dropdown menu behaves, how a button scales on click, or how a sidebar collapses. Replay's video-to-code approach captures 10x more context, ensuring that the generated components include all necessary logic and interactivity.
Ready to ship faster? Try Replay free — from video to production code in minutes.