Vocal runs an actual noise-suppression neural network (RNNoise, compiled to WebAssembly) on your file, then evens out levels and tightens dead air — entirely on your device, nothing uploaded to a server.
Turn on the passes your file needs — Vocal only applies what's toggled, so spoken-word and music stay true to the source.
Every source file has a different failure mode. Vocal adapts the enhancement chain to the job, not the other way around.
Even out room tone and mic-to-mic level swings across a multi-guest episode before you publish.
Clean narration on tutorials, reaction clips, and product demos without touching the picture edit.
Judge a vocal take or demo idea faster once hiss and low-level clutter stop competing with the performance.
Get voiceover on ads and launch videos to a usable bar without re-booking a studio session.
Keep lecture recordings intelligible so students stay focused on the material, not the mic setup.
Recover intelligibility on older field or interview recordings before transcription or publishing.
Drag in audio or video straight from your device — no account, no plugin, no export settings to configure first.
Toggle noise, echo, hum, and level correction on or off, then let Vocal process the file in the browser.
Scrub between the original and the result before committing — only download once it actually sounds better.
Fan noise, traffic, AC hum, and camera-body whine sit underneath speech in almost every home recording. Vocal runs your audio through RNNoise, a small recurrent neural network trained specifically to separate voice from background noise, frame by frame, entirely in your browser.
Laptop chargers, fluorescent lighting, and grounding issues all leave a steady electrical tone under a recording. The hum pass targets those exact frequencies with narrow notch filters, so it's removed without dulling the voice around it.
When a speaker drifts off-mic or trails a sentence quietly, normalization brings the whole take into a consistent, comfortable loudness range — matched to platform targets for podcasts and video.
Vocal detects extended silences and hesitations and shortens them automatically, tightening pacing while leaving natural breathing room between sentences intact.
Every default is chosen for intelligibility, not loudness — nothing sounds over-processed.
Scrub between original and result inline — decide with your ears before downloading anything.
Files are removed from our servers once your enhanced version is ready to download.
MP3, WAV, FLAC, MOV, MP4, MKV and more — audio or video, same single upload flow.
Most single-episode files finish processing in under a minute, even at full length.
Run your first enhancement pass with no account, no card, and no watermark on the result.
Drop in a file and hear the difference in under a minute.
“I stopped dreading room-tone cleanup. My interview episodes go from mediocre to genuinely clean in one pass.”
“Use it for every tutorial voiceover now. The before/after compare means I never guess whether it actually helped.”
“Lecture recordings from our old classroom mic finally sound intelligible without re-recording anything.”
It separates the noise floor and room reflections from the speech band, then applies level normalization and optional EQ — only for the passes you've toggled on. The underlying performance and timing aren't altered.
Most common audio and video containers work, including MP3, WAV, FLAC, M4A, MOV, MP4, and MKV, up to 10GB or three hours per file.
Your first enhancement pass runs free with no account. Heavier or repeated use may prompt an upgrade to keep processing capacity available for everyone.
Noise, hum, and room echo can be substantially reduced, but clipped or severely distorted audio has permanently lost information that no processing pass can fully recover. Results depend on how much usable signal is in the original file.
Uploaded files are used only to generate your enhanced result and are removed from our servers afterward.