Preserves 1080×1920 output resolution on export, with the clip staying at 1080×1920 and duration remaining essentially unchanged (20.02s→20.00s).
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
Edge quality⚠ StruggledProduces rough subject outlines and backpack-edge artifacts on the multi-person street cutout, rather than a clean silhouette.Hair and fine detail⚠ StruggledRoughly preserves large subject separation but drops fine hood and accessory detail, with imperfect extraction around the fur hood and earphone/scarf region.
Provenance
- Observation
- 090d220d-4f8e-46fd-83a7-7da60241470f
- 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 — 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.Descript✗ FailedIt downscales a 1080×1920 source to a 720×1280 export instead of preserving the input resolution.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.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com