Audio Intelligence
ClearVoice isolates whisper-level speech and removes interference without destroying the intimate, natural quality that makes a recording worth listening to. Intentional or accidental — we catch it all.
Noisy input → clean output
The problem
Audio cleaning tools were built for loud speech. They apply uniform noise reduction that treats whispers like quiet speech — stripping the breathy, intimate qualities that make a recording worth keeping. The result sounds hollow. Artificial. Wrong.
Strips the breathy texture that makes ASMR recordings work. Great for phone calls, useless for whispers.
Optimized for real-time voice calls. Built for noise, not whisper isolation. Different problem, different tool.
Generic spectral gating. No model trained to understand the difference between a whisper and background hiss.
"While they tend to be fantastic with normal and soft spoken speech, they can be a bit hit and miss with whispering as none of them are really designed to clear whispering up."— ASMR editor, Reddit discussion on audio cleanup tools
How ClearVoice is different
Isolates whisper-level speech from ambient noise. Distinguishes breathy consonants from room tone. Keeps the intimate quality intact — not just the words.
Flags intentional audio tampering. Detects synthetic noise injection, frequency anomalies, and non-organic interference that standard denoisers ignore.
No hollow artifacts, no metallic sheen. Cleaned audio preserves the acoustic character of the original — the room, the breath, the space.
How it works
Drop in any audio file — MP3, WAV, M4A, FLAC — up to 500MB. Drag and drop, done. No account required to start.
ClearVoice maps your audio's spectral structure, identifies whisper patterns vs. interference, and flags any tampering signals detected.
Get a cleaned audio file that preserves what matters — plus an integrity report showing what was detected and removed.
Built for specific problems
Isolate whisper triggers from ambient room noise without destroying the intimate texture your audience depends on.
Recover intelligible audio from noisy field recordings. Flag interference patterns that suggest tampering or fabrication.
Clean patient voice recordings from any environment. Preserve diagnostic vocal nuances that matter in consultations.
Detecting intentional interference in any recording. Flags non-organic noise patterns — injection artifacts, synthetic interference.
ClearVoice exists for the recordings where the audio matters as much as the content. Whispered narration. Quiet interviews. Sensitive files. Recordings that don't deserve to be discarded because the fan was humming in the next room.