How to Face Swap Multiple Faces in One Video

Single face swaps are the most common use case, but many projects require swapping two or more faces in the same video — think group scenes, couple content, or multi-character productions. Here's how it works.

How Multi-Face Swap Works

AI face swap models detect every face in a frame and can target specific individuals for replacement. The key difference from single-face swap: you need a separate source photo for each face you want to replace, and the AI must be able to distinguish between the different target faces.

Requirements for Multi-Face Swap

• One clear source photo per face you want to replace
• Target faces that are clearly distinguishable from each other in the video
• Good lighting so the AI can accurately detect each face separately
• Faces that appear on screen long enough to be detected and tracked

Common Challenges

Face confusion

When multiple faces are very close together or similar in appearance, the AI may occasionally confuse which face to swap. The "face selector" mode in professional tools lets you specify which face to target.

Occlusion

When faces partially overlap or one person blocks another, the AI works with the visible portion — results in occluded frames are generally less clean.

Processing time

Multi-face jobs take longer to process — more faces means more computation per frame. Expect roughly 1.5–2× the processing time of a single-face job.

Tips for Best Results

• Use source photos with similar lighting to the target video
• Process in "one face at a time" mode if your platform supports it
• Ensure target faces are at least 100px in the video frame
• Avoid clips where faces are partially out of frame for most of the duration

Credit Cost for Multi-Face Jobs

Multi-face swap uses the same per-second credit calculation as single-face swap — credits are based on video duration, not number of faces processed. A 2-minute video with three face swaps costs the same 18 credits as a 2-minute video with one.