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Audio Noise Reducer

Reduce steady noise in local audio using traditional FFT denoising and high/low-pass filters, not AI. Compare the original and processed previews, then export MP3, WAV or M4A. Stronger settings can damage voice or music detail; this is not voice isolation or studio-quality restoration.

Upload audio to reduce noise

What does Audio Noise Reducer do?

Audio Noise Reducer reuses Tubelexity's local audio export engine. Light, Balanced and Strong presets set conservative-to-stronger FFT denoising, with optional high-pass and adjustable low-pass cutoffs. A browser-decoded waveform helps inspect the source; the final result must be judged by listening.

How to use Audio Noise Reducer

  1. 1Upload audio and listen to the original preview.
  2. 2Start with Light or Balanced, then adjust filter cutoffs if needed.
  3. 3Reduce noise locally and compare the output at the same listening volume.
  4. 4Download the result only if the tradeoff improves your recording.

Supported inputs and outputs

Inputs

MP3, WAV, M4A, OGG and WebM audio where decodable

Outputs

MP3, PCM WAV, AAC in M4A

Practical uses

  • Reducing fan-like background hiss
  • Filtering low-frequency rumble
  • Preparing a cleaner practice voice take

Browser and media limitations

  • Works best on steady hiss; competing speech and variable noise may remain.
  • Strong processing can introduce watery artifacts or remove desired detail.
  • No dedicated 50/60 Hz notch or voice-isolation mode is offered.
  • Browser waveform decoding may be unavailable even when FFmpeg supports export.
  • Exports are re-encoded and large files can exceed browser memory.

How local processing works

Your media is processed in this browser tab, not uploaded to a processing server. Page navigation, analytics and downloads of application/runtime code still use network requests. Download the result before closing the tab.

Frequently asked questions

Is this AI noise reduction?

No. It uses FFmpeg's traditional afftdn FFT denoiser and frequency filters, with no model or AI API.

Can it isolate my voice from another speaker?

No. These filters do not identify speakers or separate voices. They can also affect speech you want to keep.

Which strength should I choose?

Start with Light and compare a representative section. Increase strength only if the remaining noise matters more than the added artifacts.

Does WAV output repair lossy source audio?

No. WAV avoids another lossy output codec, but it cannot recover detail already missing from the recording.

Related creator tools

Capture a new microphone takeNormalize level after checking noiseAdjust volume manuallyTrim unwanted sectionsChoose a different audio format