Audio → Image

Drop any audio file to instantly visualise its frequency content over time. Download the result as a high-resolution PNG image — perfect for sharing, analysis, or embedding in your ARG.

Drop your audio file here
or click to browse  ·  WAV, MP3, OGG, FLAC, AAC, M4A
Resolution
Frequency range
Color scheme
Gain (dB boost)   +0 dB
Drop an audio file to generate spectrogram

What is a spectrogram?

A spectrogram plots time (x-axis) against frequency (y-axis), with brightness representing amplitude. It reveals the frequency content of sound invisible to the ear.

AudioCipher patterns

AudioCipher's HZAlphabet produces a characteristic stepped-frequency pattern — each letter is a distinct horizontal band. The shape spells the message on the spectrogram.

Hidden images in audio

Artists like Aphex Twin have hidden images inside music tracks. Use the Image → Sound tab to encode your own picture into audio, then view it here.

Image → Audio

Convert any image into audio. Pixel brightness maps to frequency amplitude — brighter pixels produce louder tones at that frequency. The resulting audio reveals the image when viewed in a spectrogram. Inspired by artists like Aphex Twin who hid images inside music.

Drop your image here
or click to browse  ·  PNG, JPG, GIF, WEBP  ·  any size
Frequency range
Duration   6 s
Sample rate
Invert (bright = quiet)
Volume   0.80
Drop an image to preview how it will sound

How it works

The image is scaled to a fixed height (frequency bins). Each column of pixels becomes one moment in time. Pixel brightness sets the amplitude of each frequency at that moment.

Best image types

High-contrast images with clear shapes produce the most recognisable spectrograms. Simple logos, text, and line drawings work best. Busy photos become noisy audio.

ARG & music trick

Hide an image in your music, podcast, or Discord audio. Listeners who run the audio through a spectrogram analyser will see your hidden picture — a classic ARG technique.