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Soft room tone, subtle mechanism, rising texture, gentle resolved accent.
Prepare a voice cleanup prompt for podcasts, narration, explainer clips, noisy recordings, and natural-sounding speech repair.
Preview
Audio Prompt
Best for podcast clips, narration drafts, and noisy spoken recordings.
Voice cleanup prompt for podcast clarity, narration polish, source notes, noise reduction, and natural tone preservation.
Clean up the uploaded voice recording for a short educational podcast segment. Prioritize speech clarity, reduce background hum and room noise, preserve the natural speaker tone, and avoid making the result sound over-processed. The final audio should be usable for a published explainer clip. If there are severe artifacts, keep the voice intelligible rather than aggressively removing every noise.
Usage notes
Upload the source recording first, then adjust the target use, noise tolerance, artifact tolerance, and delivery standard.
Prompt FAQ
Upload the source recording and decide the target use, such as podcast, narration, training clip, or explainer. Add notes about background noise, room echo, and how natural the voice should remain.
It prioritizes speech clarity, lower hum, softer room noise, and a natural speaker tone. It asks the model to avoid over-processing when aggressive cleanup would make the voice sound artificial.
If the original recording is clipped, heavily distorted, or missing speech detail, cleanup may improve intelligibility but cannot fully restore lost audio. In that case, use the prompt to preserve what is understandable and plan a rerecord if quality matters.
Transcript
We need the voice to stay natural while background noise is reduced enough for a polished clip.
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