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Quba Viewer – Electron Desktop Application for Structured E-Invoice Visualization

Development contribution to Quba Viewer, a cross-platform Electron desktop application used to visualize structured electronic invoices (XML, UBL, CII) and hybrid PDF invoices with embedded data such as Factur-X and ZUGFeRD formats.

Quba Viewer – Electron Desktop Application for Structured E-Invoice Visualization

Overview

This project involved contributing to the development of Quba Viewer, a cross-platform Electron-based desktop application designed for visualizing structured electronic invoices.

The system supports both XML-based invoice formats and hybrid PDF invoices containing embedded structured data, enabling users to inspect, validate, and interpret financial documents in a readable interface.


🧠 System Concept

The application bridges the gap between:

  • Raw structured invoice data (XML / UBL / CII)
  • Human-readable visual representation (UI layer)

It allows users to:

  • Load electronic invoice files
  • Parse structured financial data
  • Visualize invoice content in a formatted UI
  • Inspect embedded metadata inside PDF invoices

🧰 Technology Stack

  • Desktop Framework: Electron
  • Runtime: Node.js
  • Frontend: JavaScript, HTML, CSS
  • Data Processing: XSLT transformations
  • PDF Engine: PDF.js
  • Architecture: IPC (Main ↔ Renderer process communication)

⚙️ Key Contributions

🧾 Invoice Visualization System

Worked on rendering structured invoice data into a human-readable interface, transforming raw XML into visual components.


🔄 Electron Application Logic

Contributed to desktop application structure including:

  • window lifecycle handling
  • IPC communication between processes
  • file loading and parsing workflow

📄 Hybrid Invoice Support

Enabled handling of hybrid invoice formats:

  • PDF + embedded XML data
  • Factur-X / ZUGFeRD compatibility
  • structured invoice extraction and display

⚡ Data Transformation Layer

Worked with XSLT-based transformations to convert raw invoice data into structured UI output.


🏗 Architecture Design

The system follows a desktop data visualization architecture:

  • File Input Layer → invoice document loading
  • Parsing Layer → XML / PDF extraction
  • Transformation Layer → XSLT processing
  • Electron Renderer → UI visualization
  • IPC Layer → communication between processes

🚧 Challenges & Solutions

📄 Complex Structured Data Rendering

Invoice formats vary heavily across standards.

Solution: Implemented structured transformation logic to normalize data before rendering.


⚡ Electron Performance Constraints

Large invoice files can slow rendering.

Solution: Optimized parsing pipeline and minimized blocking operations in renderer process.


🔄 Hybrid File Handling (PDF + XML)

Some invoices contain embedded structured data inside PDFs.

Solution: Built extraction logic to detect and separate embedded XML content.


📌 Outcome

The result is a cross-platform desktop application that simplifies the visualization of complex electronic invoice formats, making structured financial data accessible and readable for end users.


💬 Note

This project demonstrates experience in:

  • Electron desktop application development
  • Structured data visualization systems
  • XML / XSLT processing pipelines
  • PDF + embedded data extraction
  • IPC-based application architecture

🔗 Project

  • Website: https://quba-viewer.org/
Electron
JavaScript
Node.js
XSLT
PDF.js
IPC Architecture
Desktop Application Development

Stages

Overview🧠 System Concept🧰 Technology Stack⚙️ Key Contributions🏗 Architecture Design🚧 Challenges & Solutions📌 Outcome💬 Note🔗 Project