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February 19, 2026 min readpascal react rebuilding scientific

Pascal to React: Rebuilding Scientific Instrumentation Software via Visual Parity

R
Replay Team
Developer Advocates

Pascal to React: Rebuilding Scientific Instrumentation Software via Visual Parity

The most critical scientific instrument in your lab might be running on a 25-year-old Pascal codebase that nobody understands, yet everyone relies on. In regulated environments like drug discovery or aerospace manufacturing, these "black box" systems are often written in Delphi or Object Pascal, featuring intricate UIs that manage real-time hardware telemetry. The risk of a manual rewrite is so high that most organizations choose to live with the technical debt rather than risk a catastrophic failure.

However, the tide is turning. By leveraging Visual Reverse Engineering, teams are now executing pascal react rebuilding scientific software projects with a level of precision that was previously impossible. Instead of guessing how a legacy VCL (Visual Component Library) form should behave in a modern browser, we can now use visual parity to bridge the gap between 1998 and 2024.

TL;DR: Rebuilding scientific Pascal applications in React is notoriously difficult due to lack of documentation (67% of systems) and hardware complexity. Manual rewrites take 18-24 months and fail 70% of the time. Replay reduces this timeline by 70% by converting video recordings of legacy workflows into documented React components and design systems, ensuring visual parity and functional accuracy in days rather than years.


The High Stakes of Scientific Technical Debt#

Scientific instrumentation software is unique. Unlike a standard CRUD application, these systems often involve complex data visualizations, real-time polling, and strict regulatory compliance. According to industry data, the global technical debt has ballooned to $3.6 trillion, and scientific sectors are among the hardest hit.

Many of these systems were built using Delphi/Pascal because of its strong typing and efficient compilation. But today, finding developers who can maintain a Pascal codebase is a challenge. When you decide to move from Pascal to React, you aren't just changing languages; you are migrating from a desktop-centric, stateful paradigm to a modern, component-based web architecture.

Industry experts recommend a "Visual Parity" approach. Visual Parity is the methodology of ensuring a modernized application looks and behaves identically to its predecessor to minimize user retraining and validation errors in regulated environments.


Why Pascal React Rebuilding Scientific Projects Fail#

Most enterprise rewrites fail because they attempt to "start from scratch." According to Replay's analysis, 70% of legacy rewrites exceed their timelines or fail entirely. In the context of pascal react rebuilding scientific instrumentation, the failure points are usually:

  1. Lost Business Logic: 67% of legacy systems lack documentation. The logic is buried in the Pascal
    text
    .pas
    files and
    text
    .dfm
    form definitions.
  2. The "Blank Page" Problem: Designers try to reimagine the UI before understanding the original workflow, leading to "feature drift."
  3. Manual Toil: A manual rewrite of a single complex scientific screen averages 40 hours of development time.

Video-to-code is the process of using AI to analyze screen recordings of legacy software to automatically generate the underlying UI structure, logic flows, and component architecture.

Replay solves these issues by capturing the "Source of Truth"—the running application itself. By recording a scientist performing a calibration workflow, Replay can extract the exact UI components and state transitions required to rebuild that experience in React.


Technical Mapping: From Pascal VCL to React Components#

When performing a pascal react rebuilding scientific migration, the primary challenge is mapping the Pascal Visual Component Library (VCL) to a modern React Design System. Pascal UIs are often absolute-positioned and state-heavy.

The Pascal Paradigm (Legacy)#

In Pascal, a form is defined in a

text
.dfm
file. It's highly imperative.

pascal
object FormCalibration: TFormCalibration Left = 0 Top = 0 Caption = 'Sensor Calibration' ClientHeight = 400 ClientWidth = 600 object LabelStatus: TLabel Left = 24 Top = 50 Width = 31 Height = 13 Caption = 'Status:' end object BtnStart: TButton Left = 24 Top = 80 Width = 75 Height = 25 Caption = 'Start' OnClick = BtnStartClick end end

The React Paradigm (Modern)#

In React, we move toward a declarative, component-based structure. Using Replay’s Library, these components are automatically extracted from the visual recording and organized into a documented design system.

typescript
import React, { useState } from 'react'; import { Button, Label, Card } from './design-system'; interface CalibrationProps { initialStatus: string; onStart: () => void; } export const CalibrationForm: React.FC<CalibrationProps> = ({ initialStatus, onStart }) => { const [status, setStatus] = useState(initialStatus); return ( <Card title="Sensor Calibration" width={600} height={400}> <div className="flex flex-col gap-4 p-6"> <Label text={`Status: ${status}`} /> <Button variant="primary" onClick={() => { onStart(); setStatus('Running...'); }} > Start </Button> </div> </Card> ); };

Comparison: Manual Rewrite vs. Visual Reverse Engineering#

The efficiency gains of using a platform like Replay are most visible when comparing the manual effort against automated visual reverse engineering.

FeatureManual Pascal to ReactReplay Visual Reverse Engineering
Documentation DiscoveryWeeks of code archeologyInstant (from video recording)
Time per Screen40 hours4 hours
Visual AccuracyHigh risk of "drift"100% Visual Parity
Component LibraryManually built over monthsAutomatically generated in days
Success Rate~30%>90%
Average Timeline18-24 monthsWeeks to months

By using Replay, organizations can bypass the "Discovery" phase that consumes 50% of most project budgets. Instead of hiring expensive Delphi consultants to read old code, you simply record the application in use.


Implementing the "Flows" Architecture#

Scientific software isn't just a collection of buttons; it's a sequence of precise operations. In pascal react rebuilding scientific projects, capturing the flow is more important than capturing the style.

According to Replay's analysis, the most common error in modernization is breaking the user's mental model. If a lab technician expects a specific confirmation modal after a centrifuge reaches 5000 RPM, that flow must be preserved.

Replay's Flows feature maps these user journeys. By recording the sequence:

  1. Login
  2. Select Instrument
  3. Input Parameters
  4. Execute Test
  5. Export PDF

Replay generates a technical blueprint of the state machine required to power the React frontend. This ensures that the modernized version isn't just a "reskin" but a functionally identical replacement. For more on this, see our guide on Mapping Legacy Workflows.


Handling Real-Time Data and Hardware Telemetry#

One of the biggest hurdles in a pascal react rebuilding scientific migration is the hardware interface. Pascal applications often use direct DLL calls or COM ports to communicate with lab equipment.

When moving to React, you typically introduce a middle layer (Node.js, Python, or Go) that handles the hardware communication via WebSockets or gRPC.

Example: Handling Telemetry in React#

A typical scientific React component needs to handle high-frequency data updates without re-rendering the entire DOM.

typescript
import React, { useEffect, useState } from 'react'; import { useSubscription } from './telemetry-provider'; const RealTimeGraph: React.FC = () => { const [dataPoints, setDataPoints] = useState<number[]>([]); const latestValue = useSubscription('sensor_01'); useEffect(() => { if (latestValue) { setDataPoints(prev => [...prev.slice(-49), latestValue]); } }, [latestValue]); return ( <div className="h-64 bg-slate-900 p-4 rounded-lg"> {/* High-performance Canvas or SVG Charting */} <Sparkline data={dataPoints} color="#10b981" /> <div className="text-white text-xs mt-2"> Current Reading: {latestValue.toFixed(4)} Hz </div> </div> ); };

Using Replay's Blueprints, you can define where these data "sockets" should live within your generated components, making the integration with your new backend seamless.


Security and Compliance in Rebuilding Scientific Software#

Scientific data is often subject to SOC2, HIPAA, or GxP compliance. Moving from a localized Pascal executable to a web-based React application introduces new security surface areas.

Industry experts recommend that any modernization platform used in these sectors must support:

  • On-Premise Deployment: To keep sensitive instrumentation data within the local network.
  • SOC2/HIPAA Readiness: Ensuring the transition process itself doesn't leak sensitive IP.
  • Audit Trails: Documenting exactly how the React code was derived from the original system.

Replay is built for these regulated environments, offering on-premise options that ensure your proprietary scientific logic never leaves your firewall. You can read more about our Security Standards.


Steps to Success for Pascal React Rebuilding Scientific Projects#

If you are tasked with modernizing a legacy scientific suite, follow this architectural roadmap:

  1. Audit the Inventory: Identify all screens and hidden menus. (Replay's Library can automate this).
  2. Record Key Workflows: Capture standard operating procedures (SOPs) on video.
  3. Generate the Design System: Extract buttons, inputs, and charts from the recordings to create a unified React library.
  4. Define the API Layer: Map the Pascal hardware logic to a modern REST/WebSocket API.
  5. Iterative Deployment: Use a "Strangler Fig" pattern to replace one module at a time, ensuring visual parity at every step.

By focusing on pascal react rebuilding scientific parity, you reduce the "change management" friction with your end-users. If the new software looks and feels like the old software (but faster and accessible via a browser), adoption rates skyrocket.


Frequently Asked Questions#

Can Replay handle complex Pascal UIs with custom-drawn components?#

Yes. Because Replay uses visual reverse engineering, it doesn't matter if the original UI was built with standard VCL components or custom-drawn graphics. If it appears on the screen, Replay's AI can analyze the visual patterns and reconstruct them as modern CSS and React components. This is a significant advantage over code-based transpilers that often choke on proprietary Pascal libraries.

What happens to the hardware-specific logic during a Pascal to React migration?#

While Replay excels at modernizing the UI and state flows, the low-level hardware logic (like direct memory access or specialized drivers) usually needs to be encapsulated in a backend service. Replay provides the "Blueprint" for how the UI expects to interact with that data, allowing your engineers to focus on the hardware abstraction layer rather than pixel-pushing.

How does Visual Parity help with regulatory validation (FDA/EMA)?#

In scientific and medical fields, software must be validated. If the UI changes drastically, you often have to re-run expensive usability studies and validation protocols. By maintaining Visual Parity during a pascal react rebuilding scientific project, you can often argue for a "Minor Change" or streamlined validation, as the functional interface remains consistent with the previously approved version.

Is the code generated by Replay maintainable?#

Absolutely. Unlike "black box" low-code platforms, Replay outputs standard TypeScript and React code that follows modern best practices (Tailwind CSS, functional components, etc.). It organizes components into a documented Library that your team owns and maintains moving forward.


Conclusion: The Future of Scientific Software#

The era of manual, multi-year rewrites is ending. The risk profile of pascal react rebuilding scientific projects has been fundamentally altered by Visual Reverse Engineering. By prioritizing visual parity and leveraging automated discovery, enterprise architects can finally retire the technical debt of the 90s without compromising the precision of the 2020s.

According to Replay's analysis, teams using visual reverse engineering see a 70% average time savings, turning 18-month nightmares into 18-week success stories.

Ready to modernize without rewriting? Book a pilot with Replay

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