Facial dyskinesia and speech abnormalities are prominent clinical features of Huntington’s disease (HD), yet their objective quantification remains limited in routine clinical practice. In this exploratory study, we employed a standardized Python-based digital assessment protocol to extract quantitative facial and speech features from individuals with manifest HD and healthy controls (HC).17 facial features across four facial regions and 42 speech features spanning fundamental frequency, loudness regulation, phonation instability, and temporal dynamics were analyzed.