Olfaction begins with sensory detection and continues with perceptual interpretation of the stimuli. A possible measure of olfactory perception is an odor independent olfactory perceptual fingerprint (OPF) defined by Snitz et al. It has been shown that there are differences in perception among normosmic and hyposmic people, however the OPFs of patients with olfactory dysfunction have not been studied thus far. We aimed to investigate, whether OPF can distinguish patients with olfactory dysfunction due to COVID-19 from controls and which perceptual descriptors are important for that separation. In our study, we included 99 healthy controls and 41 patients. They rated ten odors using eight descriptors' 'pleasant', 'intense', 'familiar', 'warm', 'cold', 'irritating', ‘edible' and ‘disgusting'. An unsupervised machine learning method, hierarchical cluster analysis, showed that OPF can distinguish patients from controls with accuracy of 83%, sensitivity of 51% and specificity of 96%. Interestingly, patients who were clustered together with the majority of the controls had a significantly higher TDI and identification score compared to patients who were clustered separately. We also observed a statistically non-significant (p = 0.07), yet trending difference in parosmia rate. For the comparison between patients and controls principal component analysis showed that familiarity and intensity were the key qualities to explain the variance of the data, however, all perceptual descriptors except disgust were important. All in all, we showed that people with olfactory dysfunction have a fundamentally different olfactory perception from healthy people This work is part of the project “Olfactorial Perceptronics” funded by Volkswagen Stiftung.