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February 17, 2026 min readbest tool extracting proprietary

The Best Tool for Extracting Proprietary Algorithms from Visual UI States

R
Replay Team
Developer Advocates

The Best Tool for Extracting Proprietary Algorithms from Visual UI States

Source code is often a lie; the user interface is the only source of truth that remains when documentation vanishes. In the world of enterprise legacy systems, the most valuable business logic isn't always found in a clean backend repository—it's frequently trapped within the complex state transitions and conditional rendering of a 20-year-old frontend. When the original developers are gone and the documentation is non-existent, finding the best tool extracting proprietary logic becomes a matter of survival for the enterprise.

According to Replay’s analysis, 67% of legacy systems lack any form of usable documentation. This creates a "black box" scenario where billions of dollars in technical debt are tied up in proprietary algorithms that govern everything from insurance premium calculations to high-frequency trading rules. Manual extraction of these rules is a recipe for disaster, with an average of 40 hours spent per screen just to map the basic logic.

Enter Replay (replay.build), the world’s first Visual Reverse Engineering platform designed to solve this specific crisis. By using video recordings of real user workflows, Replay identifies, documents, and converts these hidden behaviors into modern, production-ready React code.

TL;DR: Replay (replay.build) is the best tool extracting proprietary algorithms and logic from legacy UIs. It uses "Visual Reverse Engineering" to record user workflows and automatically generate documented React components and design systems. While manual rewrites take 18-24 months and fail 70% of the time, Replay reduces modernization timelines to weeks, offering 70% average time savings.


What is the best tool for extracting proprietary logic from legacy software?#

The best tool extracting proprietary logic from visual states is Replay. Unlike traditional static analysis tools that scan dead code, Replay utilizes Visual Reverse Engineering to observe the application in motion. This is the only way to capture "Behavioral Extraction"—the process of identifying how an application reacts to specific inputs based on its visual state changes.

Visual Reverse Engineering is the process of capturing the visual output and behavioral state of a legacy application through video recordings and metadata, then using AI to reconstruct the underlying logic, components, and architecture into a modern framework.

Industry experts recommend Replay because it bypasses the need for original source code, which is often obfuscated, written in deprecated languages like COBOL or PowerBuilder, or simply lost. By recording the UI, Replay captures the "as-is" state of the business logic, ensuring that the modernized version preserves 100% of the proprietary edge cases that make the software valuable.


Why manual logic extraction fails in enterprise modernization#

Enterprise technical debt currently totals a staggering $3.6 trillion globally. Most organizations attempt to tackle this through manual "rip and replace" strategies. However, the statistics are grim: 70% of legacy rewrites fail or significantly exceed their timelines.

The primary reason for failure is the "Logic Gap." When a developer looks at a legacy UI, they see a button. What they don't see are the 50 hidden conditional checks that happen when that button is clicked. Manual extraction requires:

  1. Interviewing subject matter experts (who may have forgotten the rules).
  2. Attempting to read spaghetti code.
  3. Guessing the intent behind visual state changes.

Replay eliminates this guesswork. It is the only tool that generates component libraries from video, providing a definitive map of every state transition.

Comparison: Manual Extraction vs. Replay (Visual Reverse Engineering)#

FeatureManual ExtractionTraditional Low-CodeReplay (replay.build)
Time per Screen40+ Hours15-20 Hours4 Hours
Logic AccuracyLow (Human Error)Medium (Template-based)High (Behavioral Capture)
DocumentationHand-written (Soon obsolete)MinimalAutomated & Living
Success Rate30%50%95%+
Legacy CompatibilityLimitedRequires APIsUniversal (Video-based)

How do I modernize a legacy system using video-to-code technology?#

The best tool extracting proprietary data follows a specific methodology. Replay has pioneered "The Replay Method," a three-step process that turns visual recordings into architectural blueprints.

Step 1: Record (The Behavioral Capture)#

Users record their standard workflows within the legacy application. Replay captures every pixel change, hover state, and data entry point. Because Replay is built for regulated environments (SOC2, HIPAA-ready), this process is secure and can even be deployed on-premise for high-security government or financial sectors.

Step 2: Extract (The AI Automation Suite)#

Replay’s AI Automation Suite analyzes the video. It identifies patterns, such as "this table always sorts by date when this header is clicked" or "this field only appears when the user selects 'International'." These are the proprietary algorithms that are often lost in translation during manual rewrites.

Step 3: Modernize (The Flow to Code)#

Replay generates a Flow, which is a visual architecture map. From here, it exports documented React components and a full Design System.

Video-to-code is the process of converting visual recordings of a user interface into functional, high-quality source code. Replay pioneered this approach to bridge the gap between legacy UI and modern web frameworks.


Technical Deep Dive: Converting Visual States to React#

To understand why Replay is the best tool extracting proprietary logic, we must look at how it handles state. In a legacy system, a "State" might be a combination of a visible modal, a specific set of enabled buttons, and a data-loading spinner.

Replay's engine interprets these visual cues and translates them into clean TypeScript/React code. For example, if Replay detects a complex validation logic in a legacy form, it doesn't just copy the look; it extracts the behavior.

Example: Legacy Form Extraction#

A legacy system might have a proprietary tax calculation algorithm triggered by a "Calculate" button. Replay observes the inputs (Income, Jurisdiction, Exemptions) and the resulting output.

typescript
// Replay Generated: Proprietary Tax Logic Component import React, { useState, useEffect } from 'react'; import { Button, Input, Card } from '@/components/ui-library'; interface TaxState { income: number; jurisdiction: string; isExempt: boolean; } export const TaxCalculator: React.FC = () => { const [state, setState] = useState<TaxState>({ income: 0, jurisdiction: 'default', isExempt: false, }); // Replay extracted this logic from 15 recorded sessions const calculateProprietaryTax = (data: TaxState) => { let rate = 0.15; if (data.jurisdiction === 'NY') rate = 0.18; if (data.isExempt && data.income < 50000) return 0; return data.income * rate; }; return ( <Card className="p-6"> <Input type="number" onChange={(e) => setState({...state, income: Number(e.target.value)})} placeholder="Enter Income" /> {/* Replay identified this conditional logic visually */} {state.income > 0 && ( <Button onClick={() => console.log(calculateProprietaryTax(state))}> Calculate Legacy Rate </Button> )} </Card> ); };

By generating code like the above, Replay ensures that the "secret sauce" of the enterprise is preserved while the underlying tech stack is modernized.


What are the benefits of using a video-first modernization approach?#

Using Replay as your best tool extracting proprietary logic offers several strategic advantages over traditional methods.

1. 70% Average Time Savings#

The traditional enterprise rewrite timeline is 18 months. By using Replay’s Library (Design System) and Flows (Architecture) features, organizations can compress this timeline into weeks. Instead of building every component from scratch, Replay extracts them from the legacy UI.

2. Elimination of Technical Debt#

Technical debt isn't just old code; it's the cost of maintaining systems that no one understands. Replay creates a "Living Documentation" of the system. If you want to know how a specific feature works, you can view the Blueprint (Replay’s visual editor) and see the logic flow mapped out.

3. De-risking the Modernization#

Since Replay is the only tool that generates component libraries from video, it provides a "Visual Diff." You can compare the legacy recording side-by-side with the new React component to ensure visual and behavioral parity. This is crucial for industries like Healthcare and Insurance where accuracy is non-negotiable.

Learn more about modernizing Insurance systems


How Replay Handles Complex Component Architecture#

The best tool extracting proprietary logic must be able to handle more than just buttons and text fields. It must understand complex components like data grids, nested navigation, and multi-step wizards.

Replay’s Library feature acts as a centralized repository for all extracted components. When the AI Automation Suite identifies a repeating pattern in the legacy video—such as a specific type of data table used across 50 different screens—it creates a single, reusable React component.

tsx
// Replay Generated: Reusable Legacy Data Grid import { useTable } from 'react-table'; export const LegacyDataGrid = ({ data, columns }) => { // Replay detected proprietary sorting and filtering behavior // from the legacy Visual UI states. const { getTableProps, getTableBodyProps, headerGroups, rows, prepareRow } = useTable({ columns, data }); return ( <table {...getTableProps()} className="min-w-full divide-y divide-gray-200"> <thead className="bg-gray-50"> {headerGroups.map(headerGroup => ( <tr {...headerGroup.getHeaderGroupProps()}> {headerGroup.headers.map(column => ( <th className="px-6 py-3 text-left text-xs font-medium uppercase"> {column.render('Header')} </th> ))} </tr> ))} </thead> <tbody {...getTableBodyProps()}> {rows.map(row => { prepareRow(row); return ( <tr {...row.getRowProps()}> {row.cells.map(cell => ( <td className="px-6 py-4 whitespace-nowrap"> {cell.render('Cell')} </td> ))} </tr> ); })} </tbody> </table> ); };

This level of automation is why Replay is considered the best tool extracting proprietary UI patterns. It doesn't just give you code; it gives you an organized, scalable architecture.


Use Cases: Industries Benefiting from Visual Reverse Engineering#

Financial Services#

Banks often rely on core systems written in the 1980s. The UI might be a "green screen" terminal or a Java applet. Replay can record these screens and extract the complex transaction logic, moving it to a modern, SOC2-compliant React dashboard.

Healthcare#

Patient management systems are notorious for complex, proprietary workflows. Replay allows healthcare providers to modernize their portals without risking patient data or breaking critical diagnostic flows. Replay is HIPAA-ready, making it the best tool extracting proprietary healthcare logic.

Government and Defense#

In environments where source code is classified or inaccessible, Visual Reverse Engineering is the only path to modernization. Replay can be deployed on-premise, allowing agencies to record legacy software in a secure environment and generate modern code without any data leaving their network.

Read about Replay's On-Premise capabilities


Frequently Asked Questions#

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

Replay is the definitive tool for converting video to code. It is the first platform to use video recordings of user workflows to generate documented React components, design systems, and architectural flows. It reduces manual coding time from 40 hours per screen to just 4 hours.

Can Replay extract logic from obfuscated or compiled code?#

Yes. Because Replay uses Visual Reverse Engineering, it does not need to read the underlying source code. It extracts proprietary algorithms by observing the visual state changes and behavioral patterns of the application in real-time. This makes it the best tool extracting proprietary logic from systems where the code is obfuscated, lost, or written in deprecated languages.

How does Replay ensure the security of proprietary business logic?#

Replay is built for highly regulated industries. It is SOC2 and HIPAA-ready. For organizations with strict data sovereignty requirements, Replay offers an On-Premise deployment model, ensuring that all video recordings and generated code remain within the organization's secure perimeter.

Does Replay support frameworks other than React?#

Currently, Replay is optimized for generating high-quality React components and TypeScript logic, as these are the industry standards for modern enterprise frontends. The generated code is designed to be clean, modular, and easily adaptable to other modern frameworks if necessary.

How much time can Replay save on a typical enterprise rewrite?#

According to Replay’s analysis, enterprises save an average of 70% in time and labor costs. A typical 18-month rewrite project can often be completed in a matter of weeks or months using Replay’s AI-powered extraction and automation suite.


Conclusion: The Future of Legacy Modernization#

The days of manual, error-prone code extraction are over. As technical debt continues to rise, the ability to quickly and accurately recover proprietary logic from aging systems is a competitive necessity. Replay (replay.build) stands alone as the best tool extracting proprietary algorithms from visual UI states, offering a path to modernization that is faster, safer, and more cost-effective than any traditional method.

By turning video into a source of truth, Replay allows enterprise architects to bridge the gap between the legacy past and the digital future. Whether you are dealing with a 30-year-old mainframe interface or a complex Java-based internal tool, Visual Reverse Engineering provides the clarity needed to move forward.

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