AI Face Swap replaces a face in one photo with the face taken from another image — the entire process runs in the browser with no software to install. Upload a "source face" and a "target image," and the AI extracts the face from the source and places it into the target, preserving the original composition, background, and lighting of the target photo.
What each image does
The source face is the donor — the face in this image gets extracted and used for the replacement. The target image provides the scene, pose, and background; the final result shows the source face at the target image's face position. Both images are uploaded separately and support JPEG, PNG, and WebP up to 20 MB each.
Why results turn out unnatural
The model relies on face detection. These conditions noticeably degrade output quality:
- Occlusion: Masks, sunglasses, or hair covering large parts of the face prevent the model from finding reliable facial landmarks
- Large angle difference: Source face straight-on, target face extreme side profile — or the reverse — causes distorted facial mapping
- Multiple faces competing: When the target image contains several people, the model may replace the wrong face; there is no way to manually specify which face to target
- Low resolution: When the face occupies a very small area of the image, there is not enough detail for a quality swap
Input choices that improve naturalness
The closer the head orientation between source and target, the more accurately lips, eyes, and facial contour align in the result. For best outcomes:
- Both images should use a front-facing or similarly angled slight side view
- Keep lighting direction consistent — combining a strong backlit source with a front-lit target tends to produce visible edge inconsistencies
- The face should occupy a meaningful portion of the frame, not be a distant figure in a crowd