Demo on how to extract a GTIN from a GS1 Digital Link URI as e.g. encoded in a 2D data carrier such as a QR code

As of 2027, retail scanning systems must be ready to read the Global Trade Item Number (GTIN) not only from a linear EAN or UPC barcode, but also from a 2D code. For further information, see e.g. https://www.gs1.org/industries/retail/2D-barcodes.

Though not the only option, the most promising data carrier from today's perspective (as e.g. it also allows for direct consumer interaction) might be the QR code encoding a GS1 Digital Link URI.

The GS1 Digital Link URI Syntax Standard (see https://ref.gs1.org/standards/digital-link/uri-syntax/) provides a Regular Expression (RegEx) to recognise GS1 data structures. See section 6.1 Recognising a GS1 Digital Link URI.

Based on this RegEx, this repository contains a (hopefully) comprehensible demonstration on how GS1 data can be extracted from such a URI - just access the provided Jupyter Notebook.

In simple words, a Jupyter Notebook is a convenient way to switch between explanatory text and executable code. It is based on open source software and standards.