AI Face Swap

The tool enables AI-assisted swapping of facial regions between two images for quick concept testing and visual exploration.
It detects facial landmarks, aligns the faces, transfers the source region, and blends edges to produce a coherent output. The process is designed to be efficient, reproducible, and privacy-aware, processing data in memory with minimal retention. Users benefit from fast previews, iterative parameter tuning, and safe defaults that reduce the risk of obvious artifacts.
Conceptually, the system relies on landmark-driven warping, color matching, and seam blending to preserve pose and lighting cues while exchanging identity features. It is particularly useful for concept previews in storytelling, education, and research where temporary synthetic visuals are needed without heavy software installations.
Unique value lies in its balance between speed, quality, and privacy; core features include two-image input, output format options, and adjustable blending controls. Typical use cases include storyboard comping, anonymized demonstrations, and iterative design reviews for media projects.