To simplify the process of reference image gathering, users can use this app to load specific training videos that feature necessary facial data. This reference data must come in the form of a wide array of facial photos that will be analyzed and prepared for matching and morphing into all possible positions.

While this app can create realistic face-swapping results, to do so users will have to invest a notable amount of time, effort and provide enough reference data. Originally used for comedic purposes and professional face-swapping for large predictions of TV commercials or films, lately, various software solutions capable of face swapping were also used for nefarious acts. While this type of app was originally capable only to add computer-generated or static 2D images around people faces (fake glasses, bunny ears, mustaches, and other simple elements), incredible advancements in this field have enabled modern software developers to train applications to morph and fit large databases of facial images onto target faces in the videos. Utilizing all the latest advances in the development of so-called “deepfake” algorithms, FakeApp represents an all-in-one package for enabling anyone to successfully replace the face of the person in a video with the face of a totally different person. FakeApp is an advanced video editing application that enables users to change the faces of the people in their videos using the power of machine learning and AI processing.

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