Noise reduction demos can look convincing while hiding the part that matters: whether speech still sounds useful after cleanup. We built NoiseVanish around a simple review loop—use a spoken-word file, reduce steady background noise, compare the same moment before and after, and keep the untouched source.
The tool is aimed at steady noise around speech, such as fan or air-conditioning wash and electrical hum. It does not promise to remove every transient sound, and the representative sample is labeled because results vary by source.
We would value feedback on the review flow, especially whether the A/B comparison makes the limitations clear before someone commits to a full processed file.
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