QR Scanner Tool

The tool decodes QR codes from image inputs offline, returning the embedded payload without requiring network access. It supports standard QR payloads such as URLs, plain text, vCard contacts, and Wi‑Fi credentials, with a structured output suitable for automation. Conceptually, the system detects finder patterns, thresholds the image to a binary module grid, identifies the version and error correction level, then applies Reed-Solomon error correction to recover the payload. This enables reliable data extraction even from moderately degraded images. The primary beneficiaries are developers integrating barcode decoding into workflow automation, field workers capturing inventory or event data from photos, and educators teaching QR code concepts without relying on online services. Unique value lies in offline operation, robust performance across diverse image qualities, and explicit payload metadata that facilitates downstream processing. Core features include: single-input decode (image_data), offline processing, payload_type reporting, and decoded_text output. Use cases include offline asset tagging, portable data capture in remote locations, and quick verification of QR payloads during fieldwork.