Removed most of the AC background noise and breathing noise, leaving the cleaned audio significantly quieter than the original.

✓ Worked🧾 artifact-verifiedinput + output shownTest date not recordedAdobe Podcast Enhance
What was measured
Noise removal effectiveness

How much of the unwanted noise is actually removed, including whether it handles more than simple hiss.

decisive for this rankingtransformation

This directly measures whether the tool actually removes unwanted noise, which is the core job readers are hiring it for. (3 of 3 judges)

What was given, what came back

Test input: Indoor Air Conditioner Noise · audio · group: background-noise-removal
Input — what we sent
Input file 1 — as supplied
0:00 / 0:00
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Input file 2 — as supplied
Indoor Air Conditioner Noise

A real-world indoor speech recording with a single continuous air conditioner noise source, used to test predictable HVAC noise reduction while preserving natural vocal quality.

Why this input is hard
  • · Removal of continuous HVAC noise
  • · Speech preservation
  • · Consistent background-noise suppression
  • · Natural voice quality retention
  • · No manual enhancement
Output — unretouched
0:00 / 0:00
Loading audio...
Provenance
Observation
8c29da2e-6825-423f-8d26-16fb69fb6111
Evidence run
72972002-7bcb-4593-a3ad-83194779bfb9
Study
Remove Background Noise from Audio and Video Recordings Using AI
Research task
86ba6cyhe
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: "adobe-podcast-enhance",
  scenario: "background-noise-removal"
})
MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 5 other tools
measured on Noise removal effectiveness
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com