Mobile App Engineering Deep-Dive

DigiScanner

A powerful document scanning application. Capture, crop, and enhance documents seamlessly to digital format.

DigiScanner system architecture showcase screenshot

450ms / page

Processing Speed

70% smaller

PDF Compression

Executive Overview

Android document scanning application enabling users to scan, perspective-correct, contrast-enhance, and compile documents into multi-page PDF files.

Problem Statement & Objective

Users need zero-privacy-risk document scanning that processes pages locally on-device without cloud upload dependencies.

System Architecture & Data Flow

React Native application utilizing Android native C++ OpenCV image processing bindings.

Database Design & Schemas

Local File System PDF cache with SQLite metadata index.

Key Engineering Features

  • Edge Detection & Perspective Crop Correction
  • Black & White Magic Color Filters
  • Multi-Page PDF Generation & Direct Share

Primary Engineering Challenge

Real-time document edge detection under poor lighting conditions.

Implemented Technical Solution

Implemented adaptive Canny edge detection thresholds with automatic fallback heuristics.

Security Controls

100% on-device processing guarantees privacy compliance.

Scalability Strategy

Independent local Android native execution.

Key Technical Takeaways

C++ native modules deliver 5x faster image processing than JavaScript threads.

Future Roadmap & Improvements

Add OCR text extraction support.