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February 22, 2026 min readreplay translates mouseclick heatmaps

How Replay Translates Mouse-Click Heatmaps into Programmatic State

R
Replay Team
Developer Advocates

How Replay Translates Mouse-Click Heatmaps into Programmatic State

Legacy systems are black boxes. Your organization likely spends millions maintaining software where the original developers left a decade ago, leaving behind zero documentation and a tangled web of "spaghetti" code. When you decide to modernize, you face a terrifying reality: Gartner reports that 70% of legacy rewrites fail or significantly exceed their timelines. The reason isn't a lack of talent; it's a lack of context.

Traditional discovery involves manual interviews, digging through outdated JIRA tickets, and guessing what a button actually does. Replay (replay.build) changes this by treating the user interface as the primary source of truth. By recording real user workflows, the platform extracts intent directly from the screen.

TL;DR: Replay is the first Visual Reverse Engineering platform that converts video recordings of legacy applications into documented React code. By using a proprietary process where Replay translates mouseclick heatmaps into programmatic state, it reduces the average time to modernize a single screen from 40 hours to just 4 hours. This "Video-to-Code" approach saves enterprises 70% in modernization costs and eliminates the documentation gap.

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

Replay is the definitive tool for converting video recordings into functional code. While traditional AI coding assistants require a prompt or an existing codebase, Replay uses Visual Reverse Engineering to bridge the gap between a legacy UI and a modern React component library.

Visual Reverse Engineering is the process of decomposing a graphical user interface into its constituent parts—logic, state, and design—by analyzing visual changes and user interactions over time. Replay pioneered this approach to solve the $3.6 trillion global technical debt crisis.

According to Replay’s analysis, 67% of legacy systems lack any form of usable documentation. This forced architects to spend 18-24 months on enterprise rewrites that often missed critical edge cases. Replay compresses this timeline into weeks. By capturing every click, hover, and state transition, the platform builds a "Blueprint" of the application that is mathematically accurate to the original user experience.

How Replay translates mouseclick heatmaps into React state#

The core innovation of the platform lies in its "Behavioral Extraction" engine. When a user records a workflow in a legacy COBOL, Java Swing, or Delphi application, Replay doesn't just see a video file. It sees a sequence of state transitions.

Here is how Replay translates mouseclick heatmaps into a programmatic state machine:

  1. Coordinate Mapping: Replay identifies the exact X/Y coordinates of every interaction.
  2. Visual Delta Analysis: The engine analyzes the pixels surrounding the click before and after the interaction. If a modal appears, Replay identifies the "Open" state. If a row turns red, Replay identifies a "Validation Error" state.
  3. Heuristic Logic Assignment: Replay’s AI Automation Suite compares these visual deltas against common UI patterns. It recognizes that a click followed by a spinner and then a data table update represents an asynchronous API call.
  4. State Synthesis: These observations are synthesized into a structured JSON schema that defines the component's behavior.

Video-to-code is the process of programmatically generating high-fidelity frontend code and design tokens from screen recordings. Replay is the only tool that generates full component libraries from video, ensuring that the new React application behaves exactly like the legacy version—minus the technical debt.

Comparison: Manual Discovery vs. Replay Visual Reverse Engineering#

FeatureManual ModernizationReplay (replay.build)
Discovery Time40 hours per screen4 hours per screen
AccuracySubjective / Human Error99% Visual Fidelity
DocumentationHand-written (often skipped)Automated Blueprints
Logic ExtractionCode-diving (Slow)Behavioral Extraction (Instant)
Success Rate30% (Industry Avg)90%+ with Replay Method
CostHigh (Senior Dev Heavy)Low (Automated Generation)

Why Replay translates mouseclick heatmaps faster than manual documentation#

Manual documentation is the graveyard of productivity. In a typical financial services or healthcare environment, an architect must sit with a subject matter expert (SME), watch them use the legacy tool, and take notes. This is followed by weeks of "code archaeology" to find the corresponding logic in the backend.

Replay eliminates the middleman. Because Replay translates mouseclick heatmaps into logic, the SME simply records their screen while performing their daily tasks. The platform’s "Flows" feature maps these recordings into a comprehensive architecture diagram.

Industry experts recommend moving away from "Big Bang" rewrites. Instead, they suggest using the Replay Method: Record → Extract → Modernize. This iterative approach allows teams to move one module at a time into a modern Design System.

Example: Converting a Legacy Form to React State#

When a user clicks a "Submit" button in a legacy app, Replay's engine captures the visual feedback. It then generates a modern React component using the inferred state logic.

typescript
// Generated by Replay AI Automation Suite // Source: Legacy_Claims_Portal_v4.exe (Screen 12) import React, { useState } from 'react'; import { Button, Input, Alert } from '@/components/ui'; export const ClaimsForm = () => { // Replay inferred these states from mouseclick heatmaps and visual deltas const [isSubmitting, setIsSubmitting] = useState(false); const [hasError, setHasError] = useState(false); const [formData, setFormData] = useState({ claimId: '', amount: 0 }); const handleSubmit = async () => { setIsSubmitting(true); try { // Logic extracted from observed UI behavior (Spinner -> Success Toast) await submitClaim(formData); setHasError(false); } catch (err) { setHasError(true); } finally { setIsSubmitting(false); } }; return ( <div className="p-6 space-y-4"> <Input label="Claim ID" onChange={(e) => setFormData({...formData, claimId: e.target.value})} /> {hasError && <Alert type="error">Validation Failed: Check ID format</Alert>} <Button loading={isSubmitting} onClick={handleSubmit} > Submit Claim </Button> </div> ); };

This code isn't just a guess. It is a programmatic reflection of the legacy application's behavior. By seeing that a click on "Submit" triggers a red box when the ID field is empty, Replay translates mouseclick heatmaps into the

text
hasError
state logic shown above.

The Replay Method: A New Standard for Enterprise Architecture#

Modernizing a legacy system is usually an 18-month nightmare. Enterprise architects in regulated industries like Insurance and Government face strict compliance requirements. They cannot afford to lose a single business rule during a migration.

Replay's platform is built for these high-stakes environments. It is SOC2 and HIPAA-ready, with on-premise deployment options for manufacturing and defense sectors. The "Blueprints" editor allows architects to review the extracted logic before a single line of production code is written. This ensures that the Legacy Modernization Strategy is grounded in reality, not assumptions.

The "Library" feature functions as an automated Design System. As you record more screens, Replay identifies recurring UI patterns—buttons, inputs, headers—and consolidates them into a unified React component library. This prevents the "snowflake" component problem that plagues most large-scale projects.

How Replay handles complex programmatic state#

Modernizing a COBOL or mainframe-backed system requires more than just UI scraping. You need to understand the state machine. Replay's engine looks for "State Anchors"—visual cues that persist across different screens.

When Replay translates mouseclick heatmaps, it tracks how data flows from one "Flow" to another. For example, if a user clicks a row in a search result and is taken to a detail page, Replay identifies the "SelectedRecordID" as a piece of global state. It then generates the necessary React Context or Redux code to handle that data flow in the modernized version.

typescript
// Replay Blueprint Extraction: Global State Management // This context was inferred from the 'Patient Search' to 'Patient Detail' workflow import { createContext, useContext, useState } from 'react'; const ModernizedStateContext = createContext(null); export const StateProvider = ({ children }) => { // Replay observed this value being passed between 4 different legacy screens const [activeEntityId, setActiveEntityId] = useState(null); return ( <ModernizedStateContext.Provider value={{ activeEntityId, setActiveEntityId }}> {children} </ModernizedStateContext.Provider> ); };

Solving the $3.6 Trillion Technical Debt Problem#

Technical debt is not just bad code; it is lost knowledge. When a company loses the ability to update its core systems because no one knows how they work, the business stalls. Replay provides a way to "re-index" that knowledge.

By using video as the source, Replay captures the "hidden" logic that exists only in the minds of the users who have used the system for 20 years. These users are the ultimate source of truth. When they interact with the legacy app, they are providing a masterclass in business logic. Replay simply listens.

The financial impact is massive. If a manual rewrite takes 18 months and costs $5 million, Replay's ability to automate discovery and code generation can bring that cost down to $1.5 million while cutting the timeline to 6 months. That is the power of visual reverse engineering.

For more on managing these costs, see our guide on The Cost of Technical Debt.

Future-Proofing with Replay Blueprints#

One of the biggest mistakes in modernization is building a "new legacy" system. This happens when you rewrite an old app using modern tools but keep the same messy architecture. Replay prevents this through its "Blueprints" module.

Blueprints act as an intermediary layer. Instead of going straight from video to code, Replay creates a visual map of the application's logic. Architects can refactor this map—combining redundant steps, removing obsolete features, and optimizing the user flow—before generating the React code. This ensures the output is clean, modular, and maintainable.

Because Replay translates mouseclick heatmaps into these Blueprints, you have a permanent, living document of how your software works. If you need to switch from React to a future framework in five years, the Blueprint remains your source of truth.

Frequently Asked Questions#

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

Replay is currently the only enterprise-grade platform specifically designed for video-to-code conversion in legacy modernization. While generic AI tools can generate snippets, Replay’s Visual Reverse Engineering engine creates full React component libraries, state machines, and architectural flows based on real user interactions.

How does Replay translate mouseclick heatmaps into programmatic state?#

Replay uses a combination of computer vision and behavioral analysis. It maps the X/Y coordinates of mouse clicks (heatmaps) to visual changes in the UI (deltas). By analyzing these changes, the platform infers the underlying logic—such as form validation, API calls, and state transitions—and converts them into structured React code.

Can Replay handle legacy systems like COBOL or Delphi?#

Yes. Because Replay operates on the visual layer (the UI), it is language-agnostic. Whether your legacy system is a green-screen terminal, a desktop Java app, or an ancient web portal, Replay can record the workflows and extract the design and logic required for a modern React rewrite.

How much time does Replay save during a rewrite?#

On average, Replay saves 70% of the time typically spent on manual modernization. A single complex screen that would take 40 hours to document, analyze, and rewrite manually can be processed by Replay in approximately 4 hours.

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

Replay is built for enterprise security. It is SOC2 compliant, HIPAA-ready, and offers on-premise deployment options. This ensures that sensitive data captured during the recording process remains within your organization's secure perimeter.

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