musicviz 0.0.5

A really simple music visualization tool.

MusicViz

MusicViz is a Python tool that generates a dynamic music visualizer video from an audio file (MP3 or WAV). It creates a video with animated frequency spectrum bars synchronized to the audio, using a colorful plasma colormap and a black background for a vibrant visual experience. The output is an MP4 video file with the audio embedded.

Features

• Generates a visualizer with non-overlapping frequency bars based on the audio's spectrogram.
• Supports MP3 and WAV audio inputs.
• Customizable video title displayed in the output.
• Produces high-quality 1920x1080 MP4 videos at 30 FPS.
• Uses a plasma colormap for visually appealing, frequency-based coloring.

Installation

First create a new conda environment:

conda create -n musicv python=3.11

Then activate it:

conda activate musicv

You can now install musicviz:

pip3 install musicviz

Dependencies

Install FFmpeg:

This tool requires FFmpeg for video encoding.

Download and install FFmpeg from ffmpeg.org or via a package manager:

On Ubuntu:

sudo apt-get install ffmpeg

On macOS:

brew install ffmpeg

Ensure ffmpeg is available in your system PATH.

Usage

Run the musicviz tool from the command line, providing the input audio file, output video file, and a title for the video.

musicviz <input_audio> <output_video> <video_title>

For example:

musicviz song.mp3 output.mp4 "My Awesome Track"

Output

The output is a 1920x1080 MP4 video with:

• Frequency bars that pulse with the audio's amplitude.
• A black background with a plasma colormap for bars.
• The specified title displayed at the top.
• The original audio embedded in the video.