Find every crossing
Scrub the complete marked range and flag frames where faces, hands, hair, products, text, or vehicles enter the selection. A mask that is harmless over a wall can become destructive during a crossing.
Split time ranges or reduce the mask when the mark disappears. Do not sacrifice meaningful foreground detail simply to maintain one permanent rectangle.
Want to test an authorized clip?
Open the new dashboard and choose the relevant cleanup tool.
Inspect boundaries and identity
Research on occlusion-aware video inpainting emphasizes shape, appearance, and motion-boundary consistency. In delivery review, watch for missing fingers, warped facial edges, duplicated texture, or an object that changes shape.
Treat labels, scores, prices, license plates, and safety information as semantic content. Do not approve generated details as factual recovery.
Choose a safer alternative when needed
A clean source, alternate angle, tracked patch, or deliberate replacement graphic can be safer than synthesis across a complex crossing. Sometimes leaving the mark is the most honest choice.
Document which frames were changed and why. Keep the original so reviewers can distinguish recorded content from reconstruction.
Document the finished edit
Keep the untouched source, decision notes, and approved export together. Record why the edit was authorized, which time ranges changed, and which source-first options were checked. The intended task for this page is: Informational: evaluate occlusion and foreground crossings during video inpainting.
Before delivery, verify duration, aspect ratio, audio sync, and every repaired boundary in the real viewing environment. Wipe AI accepts MP4, MOV, WebM, AVI, and MKV, then exports H.264 MP4 up to 1080p. It processes one video at a time; results depend on overlay size, motion, and background complexity, and output may be re-encoded.
Frequently asked questions
It is a visual overlap where one object hides part of another.
Small shape or identity errors are noticeable and can change meaning.
Only if its footprint remains necessary and safe across every frame.
- What is an occlusion?
- Why are hands and faces high risk?
- Should one mask cover the whole clip?
- Can inpainting recover factual hidden detail?
How the workflow works
Start with the original project when it is available. If reconstruction is needed, use the smallest area and shortest time range that contains the visible element.
What affects quality?
Camera movement, compression, scene cuts, detailed textures and subjects crossing the selected area all affect temporal consistency.
When should you use another method?
A clean re-export, source edit, crop, tracked patch or clean-plate composite may be more accurate depending on the shot.
AI reconstruction creates a plausible replacement from visible context. It does not recover pixels that were never visible in the source.
Frequently asked questions.
What is an occlusion?
It is a visual overlap where one object hides part of another.
Why are hands and faces high risk?
Small shape or identity errors are noticeable and can change meaning.
Should one mask cover the whole clip?
Only if its footprint remains necessary and safe across every frame.
Can inpainting recover factual hidden detail?
No. It produces estimates, not evidence.