It downscales a 1080×1920 source to a 720×1280 export instead of preserving the input resolution.
What was measured
Output resolution
Does it maintain the input resolution or downscale?
context, not decisivetransformation
Keeping full resolution is important for delivery quality, but it is a downstream output constraint rather than the main background-removal task itself. (3 of 3 judges)
What was given, what came back
Test input: Busy Urban Street · video · group: remove-or-replace-video-backgrounds-using-ai
Input — what we sent
Busy Urban Street
A video of a person walking through a busy city street with multiple people, moving vehicles, and a visually complex urban background. It was used to stress segmentation and tracking under heavy background distraction and continuous motion.
Why this input is hard
- · Complex background segmentation
- · Handling background distractions
- · Subject tracking
- · Temporal consistency across frames
- · Edge accuracy during continuous movement
Output — unretouched
Also checked on this input — same tool, 2 other criteria
Lighting adaptation⚠ StruggledThe warm lantern-lit alley does not wrap light onto the subjects: jacket edges still read as flat daylight with no warm rim light.Motion handling⚠ StruggledThe requested in-motion subjects are rendered more static and posed than the source’s forward-stride feel, so motion energy is flattened.
Provenance
- Observation
- 59a7afa4-8773-452f-bd67-9d9db0837ba5
- 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: "descript",
scenario: "remove-or-replace-video-backgrounds-using-ai"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 5 other tools
measured on Output resolution
Bria.ai✓ WorkedThe output preserved the source resolution exactly at 1080×1920, with no downscaling.Cutout.Pro⚠ StruggledDownscales the roughly 1080×1920 source to 360×640 and truncates a 20.02s clip to 5.005s.Fotor✗ FailedA vertical 1080×1920 source was exported as a 2464×1080 landscape canvas, with the subject confined to a narrow vertical strip.InVideo AI✗ FailedIt silently downgraded to 1080×1918 instead of true 4K, and the close crop looks soft rather than 4K-sharp.VEED✓ WorkedPreserves 1080×1920 output resolution on export, with the clip staying at 1080×1920 and duration remaining essentially unchanged (20.02s→20.00s).
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com