  In recent years, the advent of deep learning-based techniques and the
significant reduction in the cost of computation resulted in the feasibility of
creating realistic videos of human faces, commonly known as DeepFakes. The
availability of open-source tools to create DeepFakes poses as a threat to the
trustworthiness of the online media. In this work, we develop an open-source
online platform, known as DeepFake-o-meter, that integrates state-of-the-art
DeepFake detection methods and provide a convenient interface for the users. We
describe the design and function of DeepFake-o-meter in this work.
