Loses clean hair segmentation and leaves artifacts near the glasses/eye region on the talking-head clip, so fine facial detail is not preserved cleanly.
What was measured
Hair and fine detail
How well does the tool handle the hardest segmentation cases such as curly hair, wispy edges, glasses, and earrings?
decisive for this rankingtransformation
Handling wispy hair, glasses, and earrings is a hard segmentation test and directly reflects background-removal quality. (3 of 3 judges)
What was given, what came back
Test input: Indoor Talking Head · video · group: remove-or-replace-video-backgrounds-using-ai
Input — what we sent
dfa254fe0189444886a119de2d6e6f1e.mp4
Indoor Talking Head
An indoor talking-head video of a person speaking directly to the camera with a static background, natural hand gestures, and facial expressions. It was used to test how well tools preserve the subject while replacing an indoor background.
Why this input is hard
- · Static camera performance
- · Face and body segmentation
- · Facial expression preservation
- · Background replacement accuracy in an indoor environment
Output — unretouched
Also checked on this input — same tool, 2 other criteria
Edge quality⚠ StruggledKeeps the subject isolated but leaves visible edge artifacts around the hair and shoulders on the talking-head cutout.Output resolution◐ MixedDownscales a 4K-class talking-head source from effective 2160×3840 to 1080×1920 on export, while preserving the 15.35s duration exactly.
Provenance
- Observation
- 9dd364c6-142f-4d03-9db4-0b9a589bc8ba
- 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: "veed-io",
scenario: "remove-or-replace-video-backgrounds-using-ai"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 8 other tools
measured on Hair and fine detail
Bria.ai⚠ StruggledThe eyes/glasses area is slightly warped and over-smoothed, so fine facial detail is not preserved crisply.Cutout.Pro⚠ StruggledOver-smooths the hairline, leaving a simplified boundary that persists across frames.Descript⚠ StruggledFine hair detail softens into a halo/blur band around the crown and sides, and flyaway strands are lost against the new background.FlexClip⚠ StruggledA raised-hand gesture collapses into a soft blob with fingers and knuckles not clearly separated, showing weak preservation of fine hand detail.Fotor✓ WorkedGlasses and hair were preserved cleanly, with no visible tearing in the matting around those fine details.InVideo AI◐ MixedIt preserved hands and face detail well, but it distorted a subtle curved glasses highlight into a straight, disconnected bar floating above the frame line.Kapwing✓ WorkedThe tool preserved hard fine detail on the indoor subject, including glasses, shirt-logo stitching, and individual fingers, against the white cutout.Media.io⚠ StruggledHair matting stayed stiff and slightly jagged against the dark backdrop, giving the head a hard, sticker-like edge instead of soft hair detail.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com