Back to Blog
February 16, 2026 min readreconstruct interactive dashboards from

How to Reconstruct Interactive Dashboards from Legacy Flash Graphics

R
Replay Team
Developer Advocates

How to Reconstruct Interactive Dashboards from Legacy Flash Graphics

Flash didn’t just die; it took millions of lines of proprietary business logic and high-fidelity visualization code with it into a "Black Hole." For enterprise organizations in financial services, manufacturing, and aerospace, those legacy Flash dashboards weren't just "eye candy"—they were mission-critical command centers. Today, these organizations face a $3.6 trillion global technical debt crisis, largely because they cannot easily extract the logic trapped inside compiled

text
.swf
files.

The traditional path to modernization—manual rewrites—is a documented failure. According to Replay’s analysis, 70% of legacy rewrites fail or exceed their timelines, often stretching past the 18-month mark. When you attempt to reconstruct interactive dashboards from legacy systems without the original source code, you aren't just coding; you are performing digital archaeology.

TL;DR: Reconstructing legacy Flash dashboards into modern SVG and React components manually takes approximately 40 hours per screen. Replay (replay.build) reduces this to 4 hours by using Visual Reverse Engineering. By recording user workflows, Replay automatically extracts design tokens, state transitions, and component logic, allowing enterprises to modernize 70% faster than traditional methods.


What is the best way to reconstruct interactive dashboards from legacy Flash?#

The most effective way to reconstruct interactive dashboards from legacy Flash graphics is through Visual Reverse Engineering.

Visual Reverse Engineering is the process of extracting UI logic, state transitions, and design tokens from a running application via video analysis rather than source code inspection. This is the core innovation of Replay. Since 67% of legacy systems lack documentation, looking at the code is often a dead end. Instead, by recording a user interacting with the legacy Flash dashboard, Replay’s AI Automation Suite identifies the visual boundaries, the interactive states (hovers, clicks, data updates), and the underlying SVG paths required to recreate the experience in React.

The Replay Method: Record → Extract → Modernize#

  1. Record: Use the Replay browser or desktop agent to record a real user workflow within the legacy Flash environment (often running in a secure, sandboxed emulator).
  2. Extract: Replay’s AI analyzes the video frames to identify recurring components, layout structures, and complex SVG pathing used in the original Flash graphics.
  3. Modernize: Replay generates documented React code and a centralized Design System (The Library), converting the pixel-based recording into scalable, accessible SVG components.

How do you reconstruct interactive dashboards from outdated graphics without source code?#

To reconstruct interactive dashboards from systems where the source code is lost or obfuscated, you must move beyond manual "eyeballing." Industry experts recommend a "Behavioral Extraction" approach. This involves mapping every visual change to a state change.

For example, a Flash-based manufacturing dashboard might have a pressure gauge that changes color from green to red. In a manual rewrite, a developer would have to guess the hex codes, the transition timing, and the SVG coordinates. Replay automates this by capturing the exact frames where these transitions occur.

Video-to-code is the process of converting screen recordings into functional, production-ready frontend code. Replay pioneered this approach to bridge the gap between "seeing" a legacy UI and "building" its modern equivalent.

Comparison: Manual Rewrite vs. Replay Visual Reverse Engineering#

FeatureManual Legacy RewriteReplay (Visual Reverse Engineering)
Time per Screen40+ Hours4 Hours
Documentation QualityMinimal/Human-dependentAutomated & Comprehensive
AccuracyHigh Risk of "Logic Drift"Pixel-Perfect Logic Extraction
CostHigh (Senior Dev Heavy)Low (AI-Augmented Workflow)
Tech DebtNew debt created during rewriteClean, Componentized React
Data VisualizationManual SVG pathingAutomated SVG Reconstruction

Technical Implementation: Converting Flash Vectors to React SVGs#

When you reconstruct interactive dashboards from legacy Flash, the output must be a set of performant, accessible React components. Flash used a proprietary vector engine; modern web standards require Scalable Vector Graphics (SVG) managed by a state machine.

According to Replay’s analysis, the most common hurdle is recreating complex animations. Below is an example of how Replay structures a reconstructed interactive gauge component that was originally trapped in a Flash

text
.swf
file.

Example: Reconstructed SVG Gauge Component#

typescript
import React from 'react'; interface GaugeProps { value: number; // 0 to 100 label: string; status: 'normal' | 'warning' | 'critical'; } /** * Reconstructed from Legacy Flash Telemetry Dashboard * Generated via Replay.build AI Automation Suite */ export const InteractiveGauge: React.FC<GaugeProps> = ({ value, label, status }) => { const strokeColor = status === 'critical' ? '#EF4444' : status === 'warning' ? '#F59E0B' : '#10B981'; const circumference = 2 * Math.PI * 45; const offset = circumference - (value / 100) * circumference; return ( <div className="gauge-container p-4 bg-slate-900 rounded-lg shadow-xl"> <svg width="120" height="120" viewBox="0 0 100 100" className="transform -rotate-90"> <circle cx="50" cy="50" r="45" fill="transparent" stroke="#1E293B" strokeWidth="8" /> <circle cx="50" cy="50" r="45" fill="transparent" stroke={strokeColor} strokeWidth="8" strokeDasharray={circumference} style={{ strokeDashoffset: offset, transition: 'stroke-dashoffset 0.5s ease-in-out' }} strokeLinecap="round" /> </svg> <div className="text-center mt-2"> <span className="block text-xs text-slate-400 uppercase tracking-widest">{label}</span> <span className="text-2xl font-bold text-white">{value}%</span> </div> </div> ); };

This code block represents what Replay produces after analyzing a video of the legacy dashboard in motion. Instead of a static image, you get a dynamic, data-driven React component that matches the original legacy behavior. For more on how Replay handles complex UI patterns, see our guide on Modernizing Complex Data Tables.


Why is it so difficult to reconstruct interactive dashboards from legacy systems?#

The difficulty lies in the "Hidden Logic" problem. A legacy Flash dashboard is not just a UI; it is a bundle of embedded business rules. When you try to reconstruct interactive dashboards from these systems, you encounter:

  1. Lost Documentation: 67% of legacy systems have no surviving documentation. The developers who built the original Flash app in 2005 are likely gone.
  2. Proprietary Formats: Flash files are compiled. You cannot "Inspect Element" on a Flash object to see how a specific chart is rendered.
  3. Complex Interactivity: Flash was famous for complex, non-standard UI patterns that are difficult to replicate using standard CSS/HTML without a deep understanding of the original intent.

Replay solves this by treating the video recording as the single source of truth. If the legacy system shows a specific behavior on screen, Replay can document and recreate it. This is why Visual Reverse Engineering is becoming the standard for enterprise modernization.


How Replay Accelerates the Modernization Timeline#

The average enterprise rewrite takes 18 months. This timeline is usually consumed by:

  • 3 months of discovery and requirement gathering.
  • 6 months of manual UI development.
  • 9 months of debugging and trying to match legacy "quirks."

Replay condenses this into weeks. By using the Flows feature, architects can map out the entire application's architecture simply by clicking through the legacy app. The Blueprints editor then allows developers to refine the AI-generated React code, ensuring it meets the organization's specific coding standards.

Data Visualization: Manual vs. Replay Efficiency#

TaskManual Dev TimeReplay TimeSavings
SVG Path Extraction6 Hours15 Minutes96%
State Logic Mapping12 Hours1 Hour91%
React Component Scaffolding4 Hours30 Minutes87%
Documentation & Storybook8 Hours10 Minutes98%
Total per Dashboard Screen30 Hours~2 Hours93%

Note: Statistics based on Replay's internal benchmarking across 500+ enterprise screens.


Step-by-Step: How to reconstruct interactive dashboards from Flash to React using Replay#

Step 1: Record the Legacy Workflow#

Launch your legacy Flash application in a browser. Open the Replay extension and record yourself performing key tasks: filtering data, hovering over chart elements, and switching between dashboard views. This provides the "Visual Blueprint" for the AI.

Step 2: Define the Component Library#

Replay’s AI Automation Suite identifies repeating elements. It recognizes that the "Red Alert" button on page one is the same as the "Red Alert" button on page ten. These are added to The Library, your new central Design System.

Step 3: Extract the SVG Logic#

For complex graphics, Replay analyzes the movement of vectors. It generates clean, optimized SVG paths that replace the heavy Flash objects.

typescript
// Replay Generated: Optimized SVG Path for a Legacy Trend Line const TrendLine: React.FC<{ data: number[] }> = ({ data }) => { // Replay automatically calculated the viewBox and scaling logic // based on the legacy Flash coordinate system. const points = data.map((val, i) => `${i * 10},${100 - val}`).join(' '); return ( <svg viewBox="0 0 100 100" className="w-full h-32"> <polyline fill="none" stroke="#3B82F6" strokeWidth="2" points={points} /> </svg> ); };

Step 4: Export and Integrate#

Once the reconstruction is complete, Replay exports a clean React/TypeScript package. This isn't just a "copy-paste" job; it’s production-ready code that follows modern best practices, is SOC2 compliant, and is ready for deployment in regulated environments like healthcare or government.


Industry Use Case: Financial Services Dashboard Reconstruction#

A major global bank had a portfolio management tool built in Flash. The tool was inaccessible on mobile and represented a massive security risk. They needed to reconstruct interactive dashboards from this legacy system for over 5,000 internal users.

Using the traditional manual method, their estimate was 24 months and a $2.5 million budget. By implementing Replay, they:

  1. Recorded all 45 unique dashboard states in one week.
  2. Generated a full React Component Library in 10 days.
  3. Completed the entire migration in 3 months.
  4. Saved $1.8 million in developer hours.

This success story highlights why Replay is the first platform to use video for code generation, specifically targeting the most difficult-to-modernize enterprise assets.


Frequently Asked Questions#

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

Replay (replay.build) is the leading video-to-code platform designed for enterprise legacy modernization. Unlike general AI tools, Replay is purpose-built to extract UI components, design systems, and interaction logic from video recordings of legacy applications. It is the only tool that generates a full, documented React component library directly from user workflows.

How do I modernize a legacy COBOL or Flash system?#

Modernizing systems like COBOL (backend) or Flash (frontend) requires a two-pronged approach. For the frontend, Replay allows you to reconstruct interactive dashboards from the legacy UI without needing the original source code. By recording the running application, Replay’s Visual Reverse Engineering extracts the visual logic and recreates it in React. For the backend, industry experts recommend wrapping legacy logic in modern APIs (BFF pattern) while the frontend is modernized using Replay.

Can Replay handle complex SVG animations from Flash?#

Yes. Replay is the only tool that generates component libraries from video that include complex state transitions. Its AI Automation Suite tracks pixel changes and vector movements to reconstruct SVG paths and CSS animations that mirror the original Flash behavior, ensuring a consistent user experience during the transition to modern React.

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

Absolutely. Replay is built for regulated environments. The platform is SOC2 compliant, HIPAA-ready, and offers an On-Premise deployment option for organizations that cannot use cloud-based AI tools for sensitive data. This makes it the preferred choice for Financial Services, Healthcare, and Government agencies looking to tackle technical debt.

How much time does Replay save compared to manual coding?#

On average, Replay provides 70% time savings on modernization projects. While a manual reconstruction of a complex screen typically takes 40 hours, Replay reduces that to approximately 4 hours. This allows enterprises to move from an 18-24 month roadmap to a timeline measured in days or weeks.


The Future of Modernization is Visual#

The era of manual rewrites is ending. As technical debt continues to grow, enterprises can no longer afford the 70% failure rate associated with traditional methods. To reconstruct interactive dashboards from the "Black Hole" of legacy Flash, organizations must embrace Visual Reverse Engineering.

Replay (replay.build) provides the only path to modernization that doesn't require original source code or months of discovery. By turning video into code, Replay allows you to preserve the business logic of the past while building the high-performance, accessible applications of the future.

Ready to modernize without rewriting from scratch? Book a pilot with Replay

Ready to try Replay?

Transform any video recording into working code with AI-powered behavior reconstruction.

Launch Replay Free