QR Code Extractor

The QR Code Extractor returns structured data from images containing QR codes. It accepts image uploads and performs automated QR decoding to retrieve the encoded payload and its type. Use cases include validating marketing campaign URLs, capturing contact details from business cards, scanning event tickets, or recovering text from brochures in QA and content automation pipelines. It is designed for developers integrating decoding calls into apps, QA engineers performing regression checks, and data scientists prototyping payload patterns across campaigns.

Conceptually, the tool detects finder patterns, applies perspective correction, samples modules within the code, and decodes using Reed-Solomon error correction per ISO/IEC 18004. It infers payload type based on content, such as HTTP/HTTPS URLs, vCard or MeCard contact blocks, Wi‑Fi credentials, or simple text. The output includes the raw payload string, a normalized data_type label, the detected version, and the error correction level when available, plus optional coordinates to support downstream validation.

Who benefits? Developers building automated verification, QA teams validating printed or displayed codes, marketing operations recreating multi-channel campaigns, and researchers analyzing payload patterns across datasets. Unique value comes from batch mode decoding, orientation-robust processing that tolerates rotation, and local decoding without external services. Outputs are ready for integration into data pipelines, automation scripts, asset management workflows, and compliance checks, enabling faster turnaround and reduced manual scanning.