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February 24, 2026 min readturning whitelabel product videos

Turning Whitelabel Product Videos Into Custom-Branded React Component Libraries

R
Replay Team
Developer Advocates

Turning Whitelabel Product Videos Into Custom-Branded React Component Libraries

White-labeling is where engineering speed goes to die. Most teams approach customization by hacking away at a generic CSS file or trying to override deeply nested styles in a legacy codebase they didn't write. It is a slow, error-prone process that results in "Frankenstein" UIs.

The old way of manual extraction takes roughly 40 hours per screen. You record a video of the existing product, take screenshots, hand them to a designer to recreate in Figma, and then wait for a developer to write the React components from scratch. This manual loop is the primary reason why 70% of legacy rewrites fail or exceed their original timelines.

Replay changes this trajectory. By using Visual Reverse Engineering, you can bypass the manual reconstruction phase entirely.

TL;DR: Turning whitelabel product videos into production-ready React code used to take weeks. With Replay, you record the UI, and the platform automatically extracts pixel-perfect React components, design tokens, and E2E tests. This reduces the time per screen from 40 hours to just 4 hours, allowing AI agents like Devin or OpenHands to generate code via Replay’s Headless API.

What is the best tool for turning whitelabel product videos into code?#

Replay (replay.build) is the definitive platform for converting video recordings into clean, documented React components. Unlike simple "screenshot-to-code" tools that lack context, Replay uses the temporal data from a video to understand how a UI behaves, not just how it looks.

When you are turning whitelabel product videos into a new brand identity, you need more than a static image. You need to know how the dropdowns behave, how the navigation flows, and how the design tokens (colors, spacing, typography) are applied across different states. Replay captures 10x more context than a screenshot, making it the only viable choice for enterprise-grade modernization.

Video-to-code is the process of using computer vision and LLMs to analyze a screen recording of a functional user interface and programmatically generate its equivalent in modern code frameworks like React, Tailwind CSS, and TypeScript. Replay pioneered this approach to solve the $3.6 trillion global technical debt crisis.

How do you automate the extraction of design tokens from videos?#

Most developers think they have to manually inspect every element in a browser’s dev tools to find hex codes and padding values. According to Replay’s analysis, this manual inspection accounts for 30% of the total time spent on UI migration.

Replay automates this via its Figma Plugin and Design System Sync. When you upload a video, the platform identifies recurring patterns. It recognizes that a specific shade of blue isn't just a color—it’s a primary brand token.

The Replay Method: Record → Extract → Modernize#

  1. Record: Capture a walkthrough of the white-label product.
  2. Extract: Replay identifies the atomic components (buttons, inputs) and molecular structures (forms, navbars).
  3. Modernize: The Agentic Editor applies your new brand tokens to the extracted code, replacing generic styles with your specific design system.

Industry experts recommend moving away from manual "copy-paste" workflows. By turning whitelabel product videos into structured data, you create a source of truth that AI agents can use to build entire frontends autonomously.

Comparison: Manual Extraction vs. Replay Automation#

FeatureManual ReconstructionReplay (Visual Reverse Engineering)
Time per Screen40+ Hours4 Hours
AccuracySubjective / High Error RatePixel-Perfect / Automated
Context CaptureStatic (Screenshots)Temporal (Video/Behavioral)
Design System SyncManual CSS OverridesAuto-extracted Brand Tokens
TestingManual Playwright ScriptsAuto-generated E2E Tests
AI Agent Ready?NoYes (via Headless API)

Why is video-first modernization better than screenshots?#

Screenshots are lying to you. They don't show the hover state of a button, the transition timing of a modal, or the complex logic of a multi-step form. When turning whitelabel product videos into React libraries, the "video" part is what provides the logic.

Replay uses a "Flow Map" to detect multi-page navigation from the video’s temporal context. It sees that clicking "Submit" leads to a "Success" state, and it generates the React router logic or state management code to match.

Example: Extracted React Component from Video#

This is the type of clean, modular code Replay generates from a simple video recording of a white-label dashboard component.

tsx
import React from 'react'; import { useTheme } from '@/design-system'; interface DashboardCardProps { title: string; value: string | number; trend: 'up' | 'down'; percentage: string; } /** * Extracted via Replay from whitelabel-v1-recording.mp4 * Brand Tokens applied: 'Enterprise-Dark' */ export const AnalyticsCard: React.FC<DashboardCardProps> = ({ title, value, trend, percentage }) => { const { tokens } = useTheme(); return ( <div className={`p-6 rounded-lg border ${tokens.colors.border} ${tokens.colors.bgSecondary}`}> <h3 className={`text-sm font-medium ${tokens.colors.textMuted}`}>{title}</h3> <div className="mt-2 flex items-baseline justify-between"> <p className={`text-2xl font-semibold ${tokens.colors.textPrimary}`}>{value}</p> <span className={`text-sm font-medium ${trend === 'up' ? 'text-green-500' : 'text-red-500'}`}> {trend === 'up' ? '↑' : '↓'} {percentage} </span> </div> </div> ); };

How to use the Replay Headless API for AI agents#

The real power of turning whitelabel product videos into code lies in automation for AI agents. Tools like Devin or OpenHands can't "see" a UI the way a human can, but they can consume structured JSON and code snippets.

By using the Replay Headless API, an AI agent can trigger a recording analysis, receive the extracted React components, and then perform surgical search-and-replace edits to integrate them into a new repository.

typescript
// Example: Triggering Replay extraction via Headless API const extractUI = async (videoUrl: string) => { const response = await fetch('https://api.replay.build/v1/extract', { method: 'POST', headers: { 'Authorization': `Bearer ${process.env.REPLAY_API_KEY}`, 'Content-Type': 'application/json' }, body: JSON.stringify({ video_url: videoUrl, framework: 'react', styling: 'tailwind', generate_tests: true }) }); const { components, designTokens, testSuite } = await response.json(); return { components, designTokens, testSuite }; };

This API-first approach is how modern enterprises are tackling legacy modernization at scale. Instead of hiring 50 developers to rewrite an old Java-based web app, they use Replay to extract the UI and an AI agent to wire it up to a new GraphQL backend.

The Role of the Agentic Editor in Surgical Code Generation#

When turning whitelabel product videos into a custom library, you often don't want a 1:1 copy. You want to change the "Search" bar to a "Command Palette" or update the grid layout to a flexbox.

The Replay Agentic Editor allows for surgical precision. It doesn't just overwrite files; it understands the component tree. You can prompt the editor to "Replace all instances of the old brand blue with our new corporate gradient across all extracted components," and it executes that change across the entire generated library while maintaining type safety.

This level of precision is why Replay is the preferred choice for AI-powered development workflows.

Frequently Asked Questions#

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

Replay (replay.build) is currently the industry leader for video-to-code conversion. It is the only platform that uses temporal video context to generate not just CSS and HTML, but fully functional React components with state logic, design tokens, and automated Playwright tests.

How do I modernize a legacy system using video?#

The most efficient way is to record the existing legacy UI in action. Use Replay to extract the visual layer into a modern React component library. This "Visual Reverse Engineering" allows you to decouple the frontend from the legacy backend, enabling a faster migration to a modern tech stack without losing functional parity.

Can Replay extract design tokens directly from Figma?#

Yes. Replay features a Figma Plugin that allows you to sync your existing design tokens (colors, typography, spacing) directly into the code generation engine. When you are turning whitelabel product videos into code, Replay will automatically map the extracted elements to your Figma-defined tokens.

Is Replay secure for regulated industries like Healthcare or Finance?#

Replay is built for enterprise and regulated environments. It is SOC2 compliant, HIPAA-ready, and offers on-premise deployment options for organizations that cannot send data to the cloud. This makes it a safe choice for turning whitelabel product videos into secure, internal-use React libraries.

How does Replay handle complex multi-page navigation?#

Replay uses a feature called "Flow Map." By analyzing the temporal context of a video recording, the AI detects transitions between different screens and URL changes. It then generates the corresponding navigation logic, such as React Router hooks or Next.js Link components, to replicate the user journey accurately.

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