Free tools · Run in your browser

Free online audio tools

No uploadNo accountReviewed October 9, 2026

Short answer

Four audio tools, free and with no upload: trim an audio file, normalize its loudness, remove silence and remove background noise with an AI speech model. They run in your browser; on a 30 second speech recording they took 0.01 to 0.87 s for trimming, normalizing and silence removal and 0.50 to 0.60 s for noise removal.

Turn the speech into words

Edit and clean

Convert and extract

Key takeaways

  • Everything happens in your browser: the file is not uploaded and there is no account.
  • Trimming an MP3 does not re-encode it: the bytes are copied, which is why a cut of our recording took 0.01 to 0.10 s.
  • Normalizing moved our speech recording from -23 to -16 LUFS; the page shows the loudness and peak before and after.
  • The noise remover raised the signal-to-distortion ratio on every test file, by up to 6.0 dB at the Gentle setting; FFmpeg's default denoiser changed the same files by a fraction of a decibel.
  • The audio converters turn between MP3, WAV, AAC, M4A, FLAC and OGG, and extract the audio from a video.

Measured: time and size

The video and audio tools run a single-thread WebAssembly build of ffmpeg inside your browser tab. The first tool you use downloads that engine, about 30 MB, once per visit. Timings below were measured on a 10 second 1920 × 1080 H.264 clip (13.5 MB) or a 30 second speech recording, in a headless browser on a server, so a laptop will be quicker and a phone slower.

Time and output size of each audio tool on the 30 second speech recording (481 KB MP3).
ToolWhat it doesTimeOutput
TrimCuts a start to end range0.01 to 0.10 s129 KB to 161 KB
NormalizeSets the loudness to a target0.81 to 0.87 s405 KB to 420 KB
Remove silenceCuts dead air0.19 to 0.24 s296 KB to 357 KB
Remove noise (Gentle)AI speech model0.50 to 0.60 s30 seconds of speech

The ranges cover the settings measured on each tool page.

Measured: loudness normalization

The normalize tool sets the integrated loudness to -16 LUFS with a true-peak ceiling of -1.5 dBTP. These are the recordings we measured, before and after.

Loudness before and after normalizing. LUFS is perceived loudness; LRA is loudness range; peak is the highest true peak in dBTP.
RecordingBefore (LUFS, LRA, peak)After (LUFS, LRA, peak)Time
speech as recorded-23, 2.5, -6.1-16, 2.7, -1.40.83 s
very quiet speech (20 dB lower)-43, 2.5, -26.1-16, 2.7, -1.40.81 s
loud speech (10 dB higher, limited)-13.3, 2.9, 0-15.9, 2.8, -2.20.87 s

Measured: removing silence

What the silence remover cut at its -40 dB threshold.
RecordingLength beforeLength afterRemoved
speech with natural pauses30 s20.611 s9.389 s (31.3%)
the same speech with fan noise at 15 dB30 s29.44 s0.56 s (1.87%)
the same speech with fan noise at 5 dB30 s29.806 s0.194 s (0.65%)

Measured: removing noise

A public domain speech recording was mixed with a real fan recording and a real street recording at four noise levels. Gain is the change in signal-to-distortion ratio against the clean speech; higher is cleaner.

Gain in dB at the Gentle setting of the AI model, and FFmpeg's default denoiser (afftdn) for comparison.
NoiseNoise level vs voiceAI model, Gentleafftdn defaults
Studio fan0 dB+6.0 dB+0.00 dB
Studio fan5 dB+4.8 dB+0.02 dB
Studio fan10 dB+3.1 dB+0.09 dB
Studio fan15 dB+0.8 dB+0.23 dB
Residential street0 dB+5.6 dB+0.00 dB
Residential street5 dB+4.7 dB+0.01 dB
Residential street10 dB+3.5 dB+0.02 dB
Residential street15 dB+1.6 dB+0.03 dB

The model is built for speech. The comparison column shows why the default denoiser is not enough on its own: it moved the same files by a fraction of a decibel.

Which tool for which job

You want toUseWhy
Cut an intro or an outroTrimStart and end in seconds; an MP3 is not re-encoded
Make episodes the same loudnessNormalizeSets the loudness to a target and shows the measurement
Tighten a spoken recordingRemove silenceCuts long pauses automatically
Clean a noisy voiceRemove noiseAn AI speech model, tested on real fan and street noise
Change the formatAudio convertersMP3, WAV, AAC, M4A, FLAC, OGG

Limits to know about

  • Files up to 100 MB.
  • The engine runs in your tab, so a very long recording is slower than in a desktop app.
  • Noise removal is built for speech; music is not its target.

Questions people ask

Are the audio tools free?

Yes, with no account and no watermark.

Is my audio uploaded?

No. The tools run in your browser and the file stays on your device.

Does trimming reduce quality?

Not for MP3: the tool copies the data between your start and end, so the sound is identical to the original.

Does noise removal work on music?

It is designed for speech. The page shows measurements on speech only.

Which formats can I convert between?

MP3, WAV, AAC, M4A, FLAC and OGG, among others, on the audio converter pages.

Sources and how we checked

  1. FFmpeg Documentation: ffmpeg (read 2026-10-09)
  2. EBU R 128: the European loudness recommendation for broadcast audio (read 2026-10-06)

Reviewed October 9, 2026. Every figure on this page comes from the measurements behind the linked tool pages, which are saved in data/seo/hub/evidence/2026-10-09.