Video workflow guide

Prepare the difficult frames before a video face swap

A video is not one image. Every turn, blink, hand movement, lighting change, and blurred frame adds a new constraint. This checklist helps you find those constraints before processing the full clip.

By DeepSwapAI Product TeamReviewed July 13, 2026Practical guide

Find the frames most likely to break continuity

Clip conditionRiskPractical response
Slow, front-facing motionLowerUse as the first representative test.
Fast head turns or profilesHigherMatch the reference angle more closely and inspect transition frames.
Hands, hair, microphones, or objects cross the faceHigherMark the timestamps and judge whether the occlusion is essential.
Motion blur or low lightHigherUse a clearer source clip when possible; upscaling cannot restore missing landmarks.
Hard cuts or major lighting changesVariableTest each scene separately before processing a long edit.

A five-step video preparation workflow

  1. Trim the decision: remove unused lead-in, end frames, and alternate takes before upload.
  2. Scrub at normal speed: note profiles, blur, occlusion, cuts, and light changes.
  3. Choose the reference: prioritize sharp identity detail and an angle compatible with the most important scene.
  4. Run a short test: process a representative segment that includes at least one difficult motion.
  5. Scale only after review: check continuity at the difficult timestamps, not only on a still frame.
Do not optimize only for the first frame. A reference that works for a static opening may fail during a turn or occlusion later in the clip.

Estimate the task before submission

The current video face swap workspace supports clips up to 300 seconds and 200 MB. The interface calculates the required amount before submission.

OutputCurrent rateCurrent minimumUse when
720p2 credits per rounded second6 creditsYou are testing continuity or the source does not require 1080p.
1080p5 credits per rounded second15 creditsThe source detail and intended viewing size justify the higher output.

Prices and limits can change. The amount displayed in the live workspace is the final pre-submission reference.

Review motion, not just resemblance

Frame continuity

Watch the face through turns, blinks, speech, and camera movement. Look for identity jumps or sudden shape changes.

Occlusion recovery

Inspect the frames before, during, and after an object crosses the face.

Lighting continuity

Check whether facial shading follows scene light through cuts or exposure changes.

Edge integrity

Review hairline, ears, glasses, hands, and jaw edges at the intended playback size.

For short looping motion, use the GIF face swap guide. Use the image quality guide when the problem is already visible in a single frame, and review the privacy checklist before sharing another person's likeness.

Built from current workflow limits and observable failure conditions

The DeepSwapAI Product Team mapped controllable clip conditions to the current video workflow. The guidance is diagnostic, not a guaranteed benchmark. Duration, resolution, pricing, and retention facts were reviewed on July 13, 2026; see the verification methodology.

Test the hardest useful segment

Choose a short section that includes motion or occlusion, confirm the displayed credit estimate, and review continuity before processing the full clip.

Open video face swap