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Audio Visualiser Converter

Convert any audio file into a spectrogram-style image, designed for use with the Audio Visualiser Plugin for DaVinci Resolve.

Audio Visualiser Converter UI

Features

Simple drag & drop workflow

Drop audio files here

or click to browse

Auto Set Output Path

Sets the Output Path to the same folder as the Uploaded Audio.

Output Path:
C:\Users\user\Downloads
Browse

Different Modes

1-Band

Shows overall volume over time, no frequency separation.

3-Band

Separates audio into low, mid, and high frequencies.

10-Band (Recommended)

Splits audio into 10 logarithmically spaced frequency bands, highlighting frequency-specific energy over time.

25-Band

Provides fine-grained frequency separation across 25 bands, revealing detailed spectral variations throughout the track.

How To Install

Option 1: Pre-compiled Windows App

  1. Download the `.exe` from Github.
  2. Run the application (no installation required).
Windows SmartScreen Warning: If a warning appears, click "More info" → "Run anyway".

Read why this happens in the FAQ section.

Option 2: Run from Source (Advanced)

For Mac/Linux users or those who prefer running from source.

git clone https://github.com/Analator1/Visualizer.git
cd Visualizer
pip3 install -r requirements.txt
python3 Visualiser_Script.py

If you have questions or require further help, feel free to join our Discord server.

How To Use

1

Upload Audio

Drag & drop or select an audio file.

2

Choose Output Location

Defaults to the same folder as your audio.

3

Select Band Mode

Choose between 1, 3, 10, or 25 frequency bands.

4

Processing

The app analyzes and converts your file.

5

Get Your Image

Check the output folder for your converted image.

How Images Are Generated

  1. 1

    Audio Normalization

    Converts to WAV and balances volume.

  2. 2

    Frequency Splitting

    Separates audio into frequency bands (low to high).

  3. 3

    Waveform Rendering

    Each band becomes a waveform image.

  4. 4

    Pixel Conversion

    Waveforms are resized into thin strips where brightness equals volume (white = loud, black = quiet).

  5. 5

    Stacking & Combining

    Bands are combined into one spectrogram image (e.g., 8000x10 or 8000x25).

  6. 6

    Cleanup

    Temporary files are removed, leaving only your final image.

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Frequently Asked Questions

Developers

s

sh4rk

Original creator of the Audio Visualiser Converter & Plugin

A

Analator

Assisted with EXE packaging (Python → Windows build)

Ready to start creating?

Download the converter now from GitHub Releases.