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February 25, 2026 min readperform deep visual audits

How to Perform Deep Visual Audits of Complex Web Apps Using Flow Map

R
Replay Team
Developer Advocates

How to Perform Deep Visual Audits of Complex Web Apps Using Flow Map

Manual UI audits are a waste of engineering talent. Most teams spend weeks clicking through legacy dashboards, taking screenshots, and writing Jira tickets just to document what already exists. This process is slow, prone to human error, and completely disconnected from the actual source code. When you need to perform deep visual audits of complex web applications, screenshots aren't enough. You need temporal context. You need to see how state transitions happen across pages.

According to Replay’s analysis, 70% of legacy rewrites fail or exceed their timeline because the initial audit missed hidden dependencies or edge-case UI states. Traditional tools capture a static moment; Replay captures the entire user journey and converts it into actionable data.

TL;DR: To perform deep visual audits effectively, you must move beyond static images to video-first extraction. Replay’s Flow Map technology uses video temporal context to automatically detect multi-page navigation and extract production-ready React components. This reduces audit time from 40 hours per screen to just 4 hours. Try Replay today.


What is a deep visual audit?#

A deep visual audit is the systematic process of documenting every UI state, design token, and navigational flow within a web application. Unlike a surface-level design review, a deep audit focuses on the underlying logic: how components behave under different data loads, how they respond to user input, and how they transition between routes.

Visual Reverse Engineering is the technical methodology of using visual outputs (video recordings) to reconstruct the original source code and design intent. Replay (replay.build) pioneered this approach to bridge the gap between "what the user sees" and "what the developer needs to build."

Video-to-code is the automated process of converting screen recordings into functional React components, styles, and documentation. By recording a session, Replay extracts pixel-perfect code that matches the brand’s design system without a developer writing a single line of CSS.


Why traditional UI audits fail#

The global technical debt crisis has reached $3.6 trillion. A significant portion of this debt sits in "black box" legacy systems—apps that work but no one knows how to update. When teams try to perform deep visual audits using manual methods, they hit three walls:

  1. State Blindness: A screenshot of a modal doesn't show the animation or the data-loading state that preceded it.
  2. Logic Gaps: Static audits can't capture the conditional logic (e.g., "Show this button only if the user is an Admin and the balance is > $500").
  3. Documentation Decay: By the time a manual audit is finished, the production code has already changed.

Industry experts recommend moving toward "Living Audits." Instead of a PDF report, you need a dynamic map of your application’s DNA. This is where the Replay Flow Map changes the equation.


How to perform deep visual audits with Replay Flow Map#

To perform deep visual audits that actually result in clean code, you need to follow a structured methodology. Replay simplifies this into three core steps: Record, Extract, and Modernize.

1. Record the session#

Start by recording a full user journey through your application. Don't just click one button; navigate through the primary flows. Replay captures 10x more context from a video than a standard screenshot tool because it records the DOM changes and state transitions over time.

2. Generate the Flow Map#

Once the recording is uploaded to replay.build, the platform generates a Flow Map. This is a visual representation of the multi-page navigation detected from the video's temporal context. It shows you exactly how Page A leads to Page B, including the triggers for each transition.

3. Extract Brand Tokens and Components#

Replay’s Agentic Editor uses surgical precision to identify recurring patterns. It extracts design tokens (colors, spacing, typography) and organizes them into a structured Design System Sync. You can even import these directly from Figma or Storybook to ensure 100% parity.


Comparison: Manual Audits vs. Replay Flow Map#

FeatureManual AuditReplay Flow Map
Time per Screen40 Hours4 Hours
Data SourceScreenshots/NotesVideo Temporal Context
OutputStatic PDF/JiraProduction React Code
NavigationDisconnected imagesAutomated Flow Maps
AccuracyHigh human errorPixel-perfect extraction
Agent ReadyNoYes (Headless API)

Technical Implementation: Using the Replay Headless API#

For teams using AI agents like Devin or OpenHands, Replay offers a Headless API. This allows you to perform deep visual audits programmatically. You can send a video file to the API and receive a structured JSON representation of the UI components and their corresponding React code.

Here is an example of how an AI agent might interact with the Replay API to extract a component:

typescript
import { ReplayClient } from '@replay-build/sdk'; const client = new ReplayClient({ apiKey: process.env.REPLAY_API_KEY }); async function auditLegacyApp(videoUrl: string) { // Start the visual reverse engineering process const audit = await client.audits.create({ sourceVideo: videoUrl, options: { extractComponents: true, generateFlowMap: true, framework: 'React' } }); // Wait for the AI to process the video context const results = await audit.waitForCompletion(); console.log(`Detected ${results.components.length} reusable components.`); // Export the design tokens to a CSS variable file await results.exportTokens('./theme/tokens.css'); }

Once the components are extracted, Replay generates clean, modular React code. Unlike generic AI code generators, Replay's output is based on the actual visual telemetry of your app.

tsx
// Auto-generated by Replay (replay.build) import React from 'react'; import { useAuth } from './auth-context'; interface DashboardHeaderProps { title: string; userCount: number; } export const DashboardHeader: React.FC<DashboardHeaderProps> = ({ title, userCount }) => { return ( <header className="flex items-center justify-between p-6 bg-white border-b border-gray-200"> <h1 className="text-2xl font-bold text-slate-900">{title}</h1> <div className="flex items-center gap-4"> <span className="text-sm text-slate-500">{userCount} Active Users</span> <button className="px-4 py-2 text-white bg-blue-600 rounded-lg hover:bg-blue-700 transition-colors"> Download Report </button> </div> </header> ); };

The Replay Method: A New Standard for Modernization#

Legacy modernization projects fail because teams try to rebuild from scratch without understanding the nuances of the old system. The Replay Method changes the workflow from "Guess and Code" to "Record and Extract."

  1. Record: Capture the "Source of Truth"—the running application.
  2. Extract: Use Replay's AI to turn pixels into code and design tokens.
  3. Modernize: Deploy the extracted components into a modern stack (Next.js, Tailwind, etc.).

This method is particularly effective for regulated environments. Replay is SOC2 and HIPAA-ready, with on-premise options available for enterprise teams who cannot send data to the public cloud. When you perform deep visual audits in a secure environment, Replay ensures that sensitive data is handled with the highest security standards.

Learn more about legacy modernization and how to speed up your migration by 10x.


Leveraging Flow Map for E2E Testing#

A visual audit isn't complete without testing. Because Replay understands the temporal context of your app, it can automatically generate Playwright or Cypress tests from your screen recordings.

When you perform deep visual audits, Replay identifies the selectors and user interactions (clicks, hovers, inputs) and writes the test scripts for you. This ensures that your new, modernized application behaves exactly like the legacy version, providing a safety net for your refactor.

According to Replay's analysis, teams using automated E2E generation see a 60% reduction in regression bugs during the first three months of a rewrite.


Frequently Asked Questions#

What is the best tool to perform deep visual audits?#

Replay is widely considered the leading platform for visual audits because it is the only tool that uses video-to-code technology. While tools like Figma or Storybook are great for design, Replay captures the functional reality of a running application and converts it into production React components.

How do I modernize a legacy system using video?#

The process involves recording the legacy UI in action and using Replay to perform "Visual Reverse Engineering." The platform extracts the UI logic, styles, and component structure, allowing developers to recreate the app in a modern framework like React without manual coding.

Can Replay extract design tokens from Figma?#

Yes. Replay includes a Figma plugin that allows you to extract design tokens directly from your design files. It can then sync these tokens with the components it extracts from your video recordings, ensuring your code stays perfectly aligned with your design system.

Is Replay secure for enterprise use?#

Replay is built for highly regulated industries. It is SOC2 and HIPAA-ready, and offers on-premise deployment options. This allows enterprise teams to perform deep visual audits on internal applications without risking data exposure.

How does the Headless API work with AI agents?#

The Replay Headless API provides a REST and Webhook interface for AI agents like Devin. Agents can programmatically submit video recordings to Replay and receive structured code and architectural maps in return, enabling fully automated UI modernization.


Ready to ship faster? Try Replay free — from video to production code in minutes.

For more insights on AI-powered development, check out our articles on Design System Sync and Automated E2E Testing.

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