How to Fix AI Video Hand Distortion Without Changing the Scene
Fix AI video hand distortion with a scoped time range, evidence frame, preservation constraints, and a preview before full video repair.

How to fix AI video hand distortion without changing the scene is one of the clearest use cases for a scoped repair. The hand may be wrong while the gesture, facial performance, lighting, camera movement, and edit timing are already working. Regenerating the whole clip risks losing all of that just to correct one small region.
Platform workflow data: the repair boundaries for a hand issue
For this type of issue, the platform currently provides four concrete controls:
- Upload a source file in MP4, MOV, or WebM format up to 100 MB.
- Mark the problem with a time range and an evidence frame, then draw a repair region around the hand.
- State the expected correction and the scene elements that must remain unchanged.
- Review a 15-credit keyframe preview before approving a 2–10 second full repair, priced at 25 credits per output second.
The numbers describe the available workflow and pricing, not a guarantee that a single generation will solve every anatomy error.
1. Pick the smallest range that contains the failure
Pause at the first frame where the hand loses believable shape, then extend the range only until it is stable again. If the distortion lasts from 00:14 to 00:17, avoid selecting an entire 30-second scene merely because the hand is visible elsewhere. A narrow target gives the repair less reason to reinterpret unrelated motion.
The focused AI video mistake workflow explains when a local defect is a better fit than a complete rerun.
2. Use the evidence frame to describe a physical correction
Avoid generic language such as “make the hand normal.” Describe what the viewer should see: five distinct fingers, a natural grip around the cup, the wrist aligned with the sleeve, or the hand remaining behind the product. Pair that change with the preservation rule.
For example:
Repair the right hand from 00:14 to 00:17 so it has five natural fingers and maintains a believable grip on the cup. Preserve the person’s face, orange sleeve, cup shape, table, camera movement, lighting, and gesture timing.
That instruction gives the repair a small visual job while protecting the scene elements an editor has already approved.
3. Check the seam before approving the full repair
Inspect the preview at the first corrected frame, the middle of the action, and the final frame before it returns to untouched footage. A plausible still image is not enough if the grip changes during motion, the sleeve changes color, or the cup moves between hands.
If the repair begins to alter the product, arm, or surrounding scene, redraw a tighter region and reduce the selected time range. If the whole action is incorrect, use partial video regeneration rather than asking a local repair to solve a structural problem.
4. Keep a version only when it supports the cut
The result should be reviewed against the original in context. Keep a candidate when it restores the hand while preserving the shot’s timing, camera direction, lighting, and object continuity. Reject it when it trades the hand error for a new visual mismatch.
This preview-first pattern means the paid repair decision follows an explicit range, evidence frame, and preservation brief. See current repair pricing for the credit options, or start a new focused repair with the clip and your evidence frame.
