audio-visualizer-python 2.2.4

Create audio visualization videos from a GUI or commandline

Audio Visualizer Python

We need a good name that is not as generic as "audio-visualizer-python"!

This is a little GUI tool which creates an audio visualization video from an input audio file. Different components can be added and layered to change the resulting video and add images, videos, gradients, text, etc. Encoding options can be changed with a variety of different output containers.

The program works on Linux, macOS, and Windows. If you encounter problems running it or have other bug reports or features that you wish to see implemented, please fork the project and submit a pull request and/or file an issue on this project.

Screenshots & Videos

A video created by this app

• YouTube: A day in spring 🎥

Video demonstration of the app features

• YouTube: Audio Visualizer Python v2.0.0 demonstration 🎥

Installation on Linux

System dependencies

• Install FFmpeg:
  • On Ubuntu: sudo apt install ffmpeg
  • On Arch: sudo pacman -S ffmpeg
• If using X11 (Ubuntu 24.04 default):
  • sudo apt install libxcb-cursor0

Using pipx

• This is a good method if you just want to use the program
• Install pipx tool if you don't have it:
  • On Ubuntu: sudo apt install pipx
  • On Arch: sudo pacman -S python-pipx
• Run pipx ensurepath then close and reopen the terminal
• Install latest stable version: pipx install audio-visualizer-python
• Run this program with avp or python -m avp from terminal

Using a Python virtual environment

• This is a good method if you want to edit the code
• Make a virtual environment: python -m venv .venv
• Activate it: source .venv/bin/activate
• Install uv: pip install uv
• Install this program: uv sync in this directory
• Run program with avp or python -m avp

Installation on Windows

• Install Python from the Windows Store
• Add Python to your system PATH (it should ask during the installation process)
  • PATH is where your computer looks for programs
• Download and install FFmpeg. Use the GPL-licensed static builds.
• Add FFmpeg to the system PATH as well (program will then work anywhere)
  • Alternatively, copy ffmpeg.exe into the folder that you want to run the program within
• Open command prompt and run pip install audio-visualizer-python
• Now run avp or python -m avp from a command prompt window to start the app

Installation on macOS

• Install Homebrew

  • If you don't have it already, install Homebrew (the macOS package manager) by running this in your terminal:

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

• Install System Dependencies

  • Update your packages and install FFmpeg:

brew update && brew upgrade
brew install ffmpeg

• Install Python 3

  • You can use a standard Python installation or Miniconda. To install Python via Homebrew:

brew install python

• Install and Run

  • Install the latest stable version of audio-visualizer-python using pip:

pip3 install audio-visualizer-python

• Now run the program from your terminal:

avp

or

python3 -m avp

Keyboard Shortcuts

Key Combo	Effect
Ctrl+S	Save Current Project
Ctrl+A	Save Project As...
Ctrl+O	Open Project
Ctrl+N	New Project (prompts to save current project)
Ctrl+Z	Undo
Ctrl+Shift+Z or Ctrl+Y	Redo
Ctrl+T or Insert	Add Component
Ctrl+R or Delete	Remove Component
Ctrl+Space	Focus Component List
Ctrl+Shift+S	Save Component Preset
Ctrl+Shift+C	Remove Preset from Component
Ctrl+Up	Move Selected Component Up
Ctrl+Down	Move Selected Component Down
Ctrl+Home	Move Selected Component to Top
Ctrl+End	Move Selected Component to Bottom
Ctrl+Shift+U	Open Undo History
Ctrl+Shift+F	Show FFmpeg Command

Using Commandline Interface

Projects can be created with the GUI then loaded from the commandline for easy automation of video production. Some components have commandline options for extra customization, and you can save "presets" with settings to load if the commandline option doesn't exist.

Example Command

• Create a video with a grey "classic visualizer", background image, and text:
  • avp -c 0 image path=src/tests/data/test.jpg -c 1 classic color=180,180,180 -c 2 text "title=Episode 371" -i src/tests/data/test.ogg -o output.mp4
• See more about commandline mode in the wiki!

Developer Information

Dependencies

• Python 3.12 or higher
• FFmpeg 4.4.1 or higher
• PyQt6 6.10.2
• Pillow 12.1.0
• NumPy 2.4.1

Running Automatic Tests

Run unit and integration tests with pytest.

• First you will need to install with pip install pytest pytest-qt
• You may omit the slowest test with pytest -k "not commandline_export"

Installing from TestPyPI

Because some dependencies (namely numpy) are not always on TestPyPI, you must specify when installing that these dependencies should come from the real PyPI.

• pip install -i https://test.pypi.org/simple/ audio-visualizer-python==x.x.x --extra-index-url https://pypi.org/simple numpy

Getting Faster Export Times

• Pillow-SIMD may be used as a drop-in replacement for Pillow if you desire faster video export times, but it must be compiled from source. For help installing dependencies to compile Pillow-SIMD, see the Pillow installation guide.

Developing a New Component

• Information for developing a component is in our wiki: How a Component Works
• File an issue on GitHub if you need help fitting your visualizer into our component system; we would be happy to collaborate

License

Source code of audio-visualizer-python is licensed under the MIT license.

Some dependencies of this application are under the GPL license. When packaged with these dependencies, audio-visualizer-python may also be under the terms of this GPL license.