Koyal

Creators, filmmakers and marketers who want to produce video content face a fragmented landscape of 40+ different AI generative models, each suited to different tasks like video, image or voice generation, with no easy way to know which model fits a given shot or story. Producing a film or ad with consistent characters and storylines across scenes is difficult when using AI tools individually, since appearance and style can drift between generations. Teams also lack a simple way to insert a real person's likeness as an avatar into generated video content while verifying that likeness is being used with the person's consent.

Koyal lets users turn a script or audio track into a film with consistent characters and storylines, automatically selecting from more than 40 underlying AI models so the user does not have to choose one manually. Users can upload clips of themselves to generate a personalized avatar, with identity validated through a process called C.H.A.R.C.H.A. that asks the user to perform simple movements like turning their head or opening their mouth. Generated avatars come in multiple styles, including sketchpad, fantasy and anime, and users select one to feature in the final video. The product supports use cases across advertisements, films and music videos, and offers style categories such as animated, realistic and sketch. Koyal also runs a related site, FilmArena, where AI models are ranked weekly by user voting.