✦ Organization, Engineering & Standards

About QR Code & PDF Scanner Pro

QR Code & PDF Scanner Pro is developed and maintained by SHREYA APPS, a software engineering lab dedicated to building high-performance, privacy-first mobile utilities for Android. We specialize in real-time computer vision, linear and matrix barcode decoding, hardware-accelerated image edge-trimming, and client-side document synthesis.

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Our Core Engineering Mission

The utility software ecosystem is frequently cluttered with bloated applications that require intrusive account logins, upload personal photos to unverified cloud databases, or impose aggressive paywalls. Our mission is to provide an enterprise-grade optical suite with absolute respect for user autonomy:

• 100% On-Device Execution: All barcode decoding, edge boundary detection, and PDF generation algorithms run locally in device RAM. Scanned receipts and private business contracts are never transmitted over the internet.
• Zero Financial Data Custody: All optional premium subscriptions are processed via the Google Play In-App Billing system. We never collect, see, or store payment card credentials.
• Hardware Efficiency: Engineered in native Android C++ and Kotlin with a compact binary footprint (<16 MB) and optimized CPU utilization to protect battery health.

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Our Optical Lab Testing & Benchmarking Methodology

To ensure reliable recognition under demanding commercial conditions (such as warehouse scanning, crumpled delivery tags, and reflective retail packaging), every version release undergoes automated testing against a curated library of over 1,200 physical test targets:

Stress Benchmark Category	Test Target Description	Target Recognition Rate
Damaged & Torn Barcodes	Codes with up to 30% horizontal scratch occlusion or missing modules.	> 98.4% First-Pass Decode
Low-Light & High Glare	Ambient illumination below 15 Lux and reflective glossy shrink-wrap.	> 97.2% With Torch Assist
Perspective Skew & Curvature	Cylindrical bottles and scanning sweeps at acute 45-degree angles.	> 99.1% Geometric Rectification
Sub-Second Latency	Total elapsed time from viewfinder lock to decoded payload string.	< 280 Milliseconds (60 FPS)

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Hardware & System Compatibility

We continuously validate our Camera2 optical pipeline across diverse Android system architectures and system-on-chip (SoC) platforms:

• Chipset Benchmarks: Full acceleration on Qualcomm Snapdragon (600/700/800/8-Gen series), MediaTek Dimensity, Google Tensor (G1-G4), and Samsung Exynos platforms.
• Camera Sensor Support: Seamless autofocus, macro switching, and ultra-wide lens integration across Samsung Galaxy, Google Pixel, Xiaomi, OnePlus, and Motorola hardware.
• Android OS Coverage: Fully backwards-compatible from modern Android 15 down to Android 7.0 (Nougat), ensuring older enterprise handhelds remain fully operational.

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International Standards Compliance

All barcodes generated and decoded through our suite strictly adhere to global technical specifications:

• ISO/IEC 18004: Information technology — Automatic identification and data capture techniques — QR Code bar code symbology specification.
• ISO/IEC 15417: Code 128 barcode symbology specification.
• GS1 General Specifications: Standardized application identifiers, EAN-13, and UPC-A Modulo-10 checksum validation.
• ISO 32000-1: Document management — Portable document format (PDF 1.7) standard compliance.

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Contact Our Engineering & Research Team

We welcome inquiries from developers, warehouse managers, and users regarding custom symbology formats, enterprise integrations, or feedback: