QRAnalyze

QRAnalyze is a powerful tool that allows for the extraction of raw data and parameters from QR codes. Whether you're debugging QR code implementations, analyzing encoded data structures, or validating QR code content, QRAnalyze provides comprehensive insights into QR code composition and data encoding.

Key Features

• Raw Data Extraction - Extract and display the raw binary data contained within QR codes
• Parameter Analysis - Decode and analyze QR code parameters including error correction level, mask pattern, and version
• Multi-format Support - Handle various QR code data types including text, URLs, WiFi credentials, and contact information
• Visual Analysis - Interactive visualization of QR code structure and data segments
• Batch Processing - Analyze multiple QR codes simultaneously for efficiency
• Export Capabilities - Export analysis results in JSON, CSV, or plain text formats
• Error Detection - Identify and report QR code errors or corruption

Technologies Used

• Python - Core QR code processing and analysis engine
• OpenCV - Computer vision for QR code detection and image processing
• PIL/Pillow - Image manipulation and enhancement
• NumPy - Efficient array operations for data processing
• Flask - Web interface for easy QR code analysis
• JavaScript - Interactive frontend for real-time analysis

Use Cases

• QR code debugging and validation during development
• Security analysis of QR codes for malicious content detection
• Quality assurance testing for QR code generation systems
• Educational purposes for understanding QR code structure
• Forensic analysis of QR codes in digital investigations
• Data recovery from damaged or partially readable QR codes

Analysis Capabilities

• Error correction level detection (L, M, Q, H)
• QR code version identification (1-40)
• Data encoding mode analysis (numeric, alphanumeric, byte, kanji)
• Mask pattern detection and evaluation
• Reed-Solomon error correction code validation
• Timing pattern and finder pattern analysis

QRAnalyze is an essential tool for developers, security researchers, and anyone working with QR codes who needs deep insights into their structure and content. It bridges the gap between surface-level QR code reading and comprehensive technical analysis.