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See the frequencies in an audio file over time, or live from your microphone, with adjustable FFT size, log or linear axis, and PNG export.
Also covers: Spectrogram viewer · Frequency analyzer · Audio spectrum analyzer
Drop an audio file here
MP3, WAV, M4A/AAC, FLAC, Ogg, Opus and WebM — whatever your browser can play. Audio is processed on your device and never uploaded.
Files are analysed in full; the microphone view scrolls live.
Change the FFT size, frequency axis and floor, hover to read time, frequency and level, and export a PNG with axes.
Time runs left to right, frequency bottom to top, and brightness shows level. Speech shows as stacked horizontal bands (harmonics); a hiss is a bright haze at the top; a hum is a line at 50 or 60 Hz.
Larger sizes (4096–8192) separate close frequencies — good for music and hum. Smaller ones (512–1024) show quick changes more sharply — good for drums and speech.
Often. Lossy encoders cut off the highest frequencies: a hard shelf around 16 kHz suggests 128 kbps, and a file claiming to be lossless with that cutoff was probably made from an MP3.
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Cut an MP3, WAV or other audio file to the part you want: drag across the waveform, fine-tune the times, and save as MP3 or WAV — in your browser.
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Join several audio files into one, in the order you choose, with optional gaps or crossfades — mixed formats and sample rates are handled for you.
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Split an audio file into parts at points you click, into equal parts, every N seconds or at silences, and download each part or all of them as a ZIP.
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Make audio louder or quieter by decibels, normalise to a peak level, or to a loudness target (LUFS) for Spotify, YouTube, Apple Music or podcasts.
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Add a fade-in and fade-out to audio with linear, exponential, logarithmic, equal-power or S-curve shapes, and hear the result before saving.
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Speed up or slow down audio without changing the pitch — or tape-style, where pitch follows speed — from 0.25× to 4×.