Tool to perform spectral analysis of audio files (WAV, MP3, etc.) and display any hidden data in sound frequencies and their visualization.
Spectral Analysis - dCode
Tag(s) : Steganography
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Spectral Analysis
Spectral analyzer of Signals
Answers to Questions (FAQ)
What is spectral analysis? (Definition)
Spectral analysis is a signal processing technique used to study the frequency properties of a signal. It allows a signal to be broken down into its frequency components to better analyze its structure and characteristics.
It makes it possible to characterize the signals, identify the dominant frequencies, detect anomalies, filter noises, and facilitate data compression, etc.
How to interpret a spectrogram?
A spectrogram is a graphical representation where:
— The horizontal axis corresponds to time.
— The vertical axis represents frequencies.
— The colors or intensities indicate the amplitude at each frequency and at each instant.
How does spectral analysis work?
Spectral analysis is based on the transformation of a time signal into a frequency spectrum using mathematical methods such as the Fourier transform.
How to find a text in an audio file?
A devious practice consists of manipulating frequencies to insert data into an audio file. Sometimes a text (some letters) or an image (rather a silhouette) is hidden in the sound spectrum.
dCode allows playback of audio files (WAV, MP3, etc.) and analysis of sound frequencies to render it in different colors and positioned on a sound frequency axis (logarithmic scale).
A list of free tools to get a spectral analysis or audio spectrum:
Example: Audacity: here (Menu Analyze then Spectrum).
Example: AVS Audio Editor: here (Button Spectral in the toolbar).
The tools offer other options such as representation of the signal or sound frequencies.
How to hide a text in an audio file?
dCode suggests these tools (free):
Example: Coagula Light: here (Draw with the brush in the left window (black) then click Sound> Render Image, then File> Save sound As).
How to convert a spectrogram into an audio file?
Yes, with algorithms like Griffin-Lim it is possible to reconstruct audio from a spectrogram by estimating the missing phase.
Source code
dCode retains ownership of the "Spectral Analysis" source code. Any algorithm for the "Spectral Analysis" algorithm, applet or snippet or script (converter, solver, encryption / decryption, encoding / decoding, ciphering / deciphering, breaker, translator), or any "Spectral Analysis" functions (calculate, convert, solve, decrypt / encrypt, decipher / cipher, decode / encode, translate) written in any informatic language (Python, Java, PHP, C#, Javascript, Matlab, etc.) or any database download or API access for "Spectral Analysis" or any other element are not public (except explicit open source licence like Creative Commons). Same with the download for offline use on PC, mobile, tablet, iPhone or Android app.
Reminder: dCode is an educational and teaching resource, accessible online for free and for everyone.
Cite dCode
The content of the page "Spectral Analysis" and its results may be freely copied and reused, including for commercial purposes, provided that dCode.fr is cited as the source.
Exporting the results is free and can be done simply by clicking on the export icons ⤓ (.csv or .txt format) or ⧉ (copy and paste).
To cite dCode.fr on another website, use the link:
In a scientific article or book, the recommended bibliographic citation is: Spectral Analysis on dCode.fr [online website], retrieved on 2025-04-15,
