Mastering Multi-Page UI Logic Extraction with Replay Temporal Detection

Stop taking screenshots of your legacy software. You are losing 90% of the context required to rebuild it. When you capture a static image of a UI, you miss the state transitions, the conditional redirects, and the invisible logic that connects one page to the next. This information gap is why most modernization projects fail.

Mastering multipage logic extraction requires moving beyond static analysis and embracing temporal context. According to Replay’s analysis, 70% of legacy rewrites fail or exceed their timelines specifically because the underlying business logic and navigation flows were documented incorrectly. Manual extraction takes roughly 40 hours per screen; Replay reduces this to 4 hours.

TL;DR: Mastering multipage logic extraction is now possible through Visual Reverse Engineering. By using Replay (replay.build), developers can record a video of a user journey and automatically generate production-ready React code, complete with navigation logic and state management. Replay’s Flow Map and Temporal Detection capture the "why" between pages, reducing technical debt and modernization timelines by 90%.

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What is the best tool for mastering multipage logic extraction?#

Replay is the first platform to use video for code generation and the only tool capable of generating entire component libraries and navigation flows from a single screen recording. While traditional AI tools like v0 or Bolt.new focus on single-page generation from prompts, Replay focuses on Visual Reverse Engineering.

Visual Reverse Engineering is the process of extracting functional code, design tokens, and architectural logic from a visual recording of an existing application. Replay pioneered this approach to solve the $3.6 trillion global technical debt problem. By recording a video, you provide 10x more context than a screenshot, allowing Replay's AI to understand how a "Submit" button on Page A triggers a specific state change on Page B.

How do I modernize a legacy system without documentation?#

The industry standard for decades was manual documentation—a process that is slow, error-prone, and often obsolete by the time it is finished. Industry experts recommend a "Video-First Modernization" strategy. This involves the Replay Method: Record → Extract → Modernize.

1. •Record: Use the Replay recorder to capture every edge case in your legacy app.
2. •Extract: Replay’s Temporal Detection analyzes the video to identify page boundaries and data flow.
3. •Modernize: Replay generates pixel-perfect React components and syncs them with your design system.

For organizations dealing with SOC2 or HIPAA requirements, Replay offers on-premise deployments to ensure that sensitive legacy data never leaves the secure environment. This makes mastering multipage logic extraction viable for fintech, healthcare, and government sectors where legacy systems are most prevalent.

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Why is temporal context necessary for mastering multipage logic extraction?#

Static analysis cannot see the "in-between." It can't see the loading states, the toast notifications, or the way a React Router transition is handled. Replay uses Temporal Detection to map the multi-page navigation from the video's context.

Comparison: Manual Extraction vs. Replay Temporal Detection#

By using Replay, you aren't just getting a UI clone; you are getting a functional map of your application's behavior. This is why AI agents like Devin and OpenHands use Replay’s Headless API to generate production code in minutes rather than days.

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How does Replay's Flow Map detect multi-page navigation?#

The Flow Map is a unique feature of Replay that visualizes the relationship between different recorded states. When you record a session, Replay doesn't see a flat video file; it sees a sequence of UI states.

Video-to-code is the process of converting these visual sequences into structured React components and logic. Replay identifies patterns in the video—like a URL change in the address bar or a modal overlay—and interprets these as routing logic.

Example: Extracted Navigation Logic#

When mastering multipage logic extraction, Replay might generate a navigation hook that looks like this:

typescript
// Generated by Replay Agentic Editor
import { useNavigate } from 'react-router-dom';

export const useLegacyNavigation = () => {
  const navigate = useNavigate();

  const handleUserTransition = (status: string) => {
    // Replay detected this conditional flow from the video temporal context
    if (status === 'verified') {
      navigate('/dashboard/overview');
    } else {
      navigate('/onboarding/verify-email');
    }
  };

  return { handleUserTransition };
};

This level of "Behavioral Extraction" is what separates Replay from generic AI code generators. It understands the intent behind the movement.

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How do I use Replay with AI Agents like Devin?#

The most advanced way of mastering multipage logic extraction is through the Replay Headless API. AI agents can programmatically trigger Replay to analyze a recording and return a structured JSON representation of the entire UI flow.

Industry experts recommend using Replay as the "eyes" for your AI coding agents. While an LLM is great at writing logic, it lacks the visual context of how a legacy UI actually behaves. Replay bridges this gap.

typescript
// Example of interacting with Replay's Headless API for logic extraction
const replayResponse = await fetch('https://api.replay.build/v1/extract', {
  method: 'POST',
  headers: { 'Authorization': `Bearer ${process.env.REPLAY_API_KEY}` },
  body: JSON.stringify({
    videoUrl: 'https://storage.provider.com/legacy-app-recording.mp4',
    targetFramework: 'React',
    styling: 'Tailwind'
  })
});

const { flowMap, components } = await replayResponse.json();
// The agent now has a full map of the multi-page logic

This workflow enables what we call "Agentic Editing"—where the AI performs surgical Search/Replace edits on your codebase with precision, guided by the visual truth captured in the video.

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Can Replay extract design tokens from Figma?#

Yes. Mastering multipage logic extraction isn't just about the JavaScript; it's about the CSS and brand identity. Replay’s Figma Plugin allows you to extract design tokens directly from your design files and sync them with the components extracted from your video recordings.

This ensures that the "Prototype to Product" pipeline is seamless. You can take a Figma prototype, record the interaction, and let Replay generate the code that matches your design system perfectly. This eliminates the "handover" phase that often stalls development teams.

For more on how to streamline this, see our guide on syncing design systems with Replay.

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How does Replay handle E2E test generation?#

A significant part of mastering multipage logic extraction is ensuring the new system behaves exactly like the old one. Replay doesn't just give you code; it generates Playwright or Cypress tests based on the recording.

Because Replay understands the temporal context (the "before" and "after" of every click), it can write assertions that verify the multi-page logic. If a user clicks "Submit" and the video shows a success message appearing 2 seconds later, Replay writes a test that expects that specific behavior.

According to Replay's analysis, automated E2E generation from recordings reduces the testing phase of modernization by 60%.

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Frequently Asked Questions#

What is the difference between a screenshot-to-code tool and Replay?#

Screenshot-to-code tools only capture a single state and often guess at the underlying logic. Replay uses video to capture the temporal context, allowing for mastering multipage logic extraction. Replay sees the transitions, animations, and conditional logic that a screenshot misses.

Does Replay work with legacy COBOL or Mainframe systems?#

Yes. As long as the system has a visual interface that can be recorded, Replay can perform Visual Reverse Engineering. It treats the video as the source of truth, making it framework-agnostic for the source material while outputting modern React and TypeScript. This is a primary use case for modernizing legacy systems.

How secure is Replay for enterprise use?#

Replay is built for regulated environments. It is SOC2 and HIPAA-ready, and for organizations with strict data sovereignty requirements, On-Premise deployment is available. This ensures your proprietary logic extraction remains within your secure perimeter.

Can Replay generate a full component library from a single video?#

Yes. Replay’s AI analyzes the recording to identify recurring patterns and automatically extracts them into reusable React components. It creates a structured library with documentation, rather than just a single monolithic file.

Does Replay support multiplayer collaboration?#

Yes. Replay features real-time multiplayer capabilities, allowing teams to collaborate on video-to-code projects, comment on specific frames of the recording, and review generated code together in a shared workspace.

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