Google ML Kit and ZXing are two technologies that offer similar functionality (in terms of barcode readings) but with a completely different way of working. The ML Kit is a machine learning tool and software framework that requires slightly stronger hardware for more efficient operation than the simpler ZXing software library, which works on the principle of comparing the darkest pixels read from cameras with geometric shapes similar to barcodes. Both technologies were used in the development of the application for scanning QR codes, and a comparison of readings of various QR codes (multiple codes, scanned at various angles, partially incomplete, etc.) was performed. The application was made in the Android studio and written in the Java programming language, and the Samsung Galaxy S8 mobile device was used for the analysis. The application is simple with an initial interface that offers a choice of scanning technology and where selecting a scan activates the camera display where the selected method processes the camera footage in real time and tries to find and decode the QR code. through which we can monitor the performance of the application. During code scanning, the ML Kit proved to be much faster, especially in situations where we scan multiple codes and at various angles, and especially in situations where the codes are partially hidden. By analyzing the work on average, the Google ML Kit implementation proved to be up to 1.5 times faster when reading individual QR codes at the correct shooting angle and up to 2.1 times faster on average. When reading multiple codes, the ML Kit manages to read many more codes, and when reading codes recorded at irregular camera angles and partially visible, ZXing failed to read or recognize QR codes at all, while the ML Kit proved to be much more successful with over 70% of read codes.