NoisyNo: Voice Noise Remover

NoisyNo is a voice noise remover that strips background noise from recordings and video audio — fully offline, right on your phone. Drop in a voice memo, video clip, lecture, interview, meeting, or podcast recording. NoisyNo isolates the speech and removes hum, hiss, fan noise, A/C buzz, wind, and ambient room tone. Compare the before and after, then export the cleaned audio file. A noise remover, not a full audio editor NoisyNo focuses on one job: making speech recordings easier to hear. No timelines, no plugins, no learning curve. Import, denoise, listen, share. Key features • Offline background noise removal — audio never leaves your device • Voice-first cleanup — tuned for speech, not music • Pro loudness normalization — match audiobook (−18 LUFS), podcast (−16 LUFS), video/streaming (−14 LUFS), or a custom target • On-device AI model — private by default, no cloud, no accounts • Before vs. after preview — A/B the cleaned audio against the original • Tap-to-seek waveform — scrub through to confirm the right take • Output your way — M4A (AAC) for sharing, WAV (16-bit) for editing • File history — recently cleaned files stay organized by date Made for • Voice memos and dictation • Lectures, classes, and online courses • Interviews and podcast recordings • Meetings, calls, and Zoom recordings • Video clips, field recordings, and content drafts • Microphone takes from noisy rooms, cafes, or outdoors Private by design No uploads. No accounts. No cloud processing. Every audio file is denoised on-device using a local noise reduction model, then stored only on your phone unless you choose to share it. NoisyNo turns noisy voice recordings and video audio into clearer sound that's easier to review, edit, and share — without launching a full audio editor.

• Fixed: saving several large files to a folder no longer crashes the app. • Fixed: the app icon no longer shows as a square. • Fixed: deleting a result no longer removes an original another result still compares against, and Delete All no longer stops at the first error.