AI Video Face Swap

Where video face swap is hardest — and what to shoot instead

Fast head motion is the honest weak point of every frame-by-frame face swap, this one included. When a subject whips their head around, motion blur means individual frames contain a smeared face, and a swap onto a smeared face tends to ghost or wobble for those frames. Clips where the subject moves at a conversational pace hold up far better than action footage.

Sharp profile turns are the second problem. A swap is generated from a source photo that almost certainly shows the front of a face, so as the subject rotates past roughly three-quarters, the model is inventing more and more of what it renders. Clips that stay broadly front-facing are the reliable ones.

Heavy occlusion — a hand across the mouth, a microphone, hair blowing over the face — will pop for the frames where the face is partly hidden. None of this makes video swap unusable; it just means a talking-to-camera clip is an easy win and a dance edit is not.

What it costs, concretely

Video is billed on duration, not on how many faces are in it: 2 credits per second of the clip, rounded up, whether you swap one person or four. A 10-second clip is 20 credits, a 30-second clip is 60, a full minute is 120.

That is worth planning around, because the 100 free credits on a new account come to roughly 50 seconds of video in total. Trimming a clip down to the section you actually want before uploading is the single easiest way to make credits go further.

Audio, resolution and what you get back

The original audio track is preserved — the swap is applied to the video stream only, so lip movement still matches whatever was said, since the underlying mouth motion is the original performer's.

You get the clip back at its working resolution with no watermark. If the source is a large file, uploading is the slow part; the swap itself runs on dedicated GPUs rather than a shared queue, so processing is usually far quicker than the upload was.