In this paper, we present a system to restore analog videos of historicalarchives. These videos often contain severe visual degradation due to thedeterioration of their tape supports that require costly and slow manualinterventions to recover the original content. The proposed system uses amulti-frame approach and is able to deal with severe tape mistracking, whichresults in completely scrambled frames. Tests on real-world videos from a majorhistorical video archive show the effectiveness of our demo system. The codeand the pre-trained model are publicly available athttps://github.com/miccunifi/analog-video-restoration.