It kept the moving subject’s silhouette clean, with no visible green-screen fringing or halo around the edge.
What was measured
Edge quality
How clean are the cutouts around hair, fingers, and clothing edges; are there visible halo, fringing, or jagged edges?
decisive for this rankingtransformation
Clean edges around hair, fingers, and clothing are a core measure of whether the background cutout works well at all. (3 of 3 judges)
What was given, what came back
Test input: Oregon Coast Walking · video · group: remove-or-replace-video-backgrounds-using-ai
Input — what we sent
Oregon Coast Walking
A daylight outdoor video of a single person walking along an Oregon coast beach, with the camera following the subject and ocean waves, sand, and sky visible in the background. It was used to test background removal and replacement on a moving subject in a natural outdoor setting.
Why this input is hard
- · Outdoor background removal
- · Subject segmentation during movement
- · Hair and edge preservation
- · AI background replacement quality
Output — unretouched
Also checked on this input — same tool, 3 other criteria
Background options◐ MixedThe generated replacement background can include small texture glitches: one desert output showed a dark smeared patch and a stray green dot on the dune ridgeline.Lighting adaptation⚠ StruggledA requested sunset look was rendered as a warmer color grade on the same midday sun position; the sun disc stayed the same size, brightness, and height in frame instead of moving to a low-horizon lighting setup.Output resolution✓ WorkedIt held the export at 2160×3838, matching the source’s roughly 4K vertical resolution instead of downscaling it.
Provenance
- Observation
- 8d0080e0-55e3-482a-a727-5b452f63e556
- Evidence run
- 10155228-7ce8-438a-a210-547331ef080b
- Study
- Remove or Replace Video Backgrounds Using AI
- Research task
- 86ba42c2d
- Tested at
- not recorded
- Source
- first-party
- Evidence state
- verified
- Proof shown
- input + output shown
- Cost / latency
- not captured
- Repeat run
- not captured
- Tester
- not captured
The last three rows are honest blanks, not placeholders — our capture has no field for them yet.
Query this
get_evidence({
tool: "invideo-ai",
scenario: "remove-or-replace-video-backgrounds-using-ai"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 9 other tools
measured on Edge quality
Bria.ai⚠ StruggledA strong blue-white halo bleeds past the head and shoulders into the black background, so the silhouette is not clean at the edge.Cutout.Pro⚠ StruggledIntroduces a faint blue-teal halo around the head and shoulders on the cutout.Descript⚠ StruggledThe cutout shows a visible cyan-blue halo around the backlit head and shoulders, so the edge is not a clean silhouette.FlexClip⚠ StruggledUnder harsh backlighting, the beach subject’s torso can read semi-transparent instead of fully opaque, so the matte is visibly incomplete beyond the recurring halo artifact.Fotor✓ WorkedThe moving subject is cut out cleanly across the walk, with the person remaining isolated rather than breaking into jagged edge artifacts.Kapwing⚠ StruggledOn the beach silhouette, the cutout edge is soft and fuzzy with a faint greenish fringe around the hood rather than a crisp line.Media.io⚠ StruggledA backlit subject kept a blue-white halo bloom past the head outline into the black background, so the cutout did not stay tight to the silhouette.Picsart⚠ StruggledOn the beach clip, backlit sun glare was not cleanly separated and remained as a rainbow-tinted haze over the head and shoulder instead of a clean silhouette.VEED⚠ StruggledLeaves visible haloing and softer torso edges on the cutout, so the silhouette does not resolve cleanly at the boundary.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com