Skip to main content

Astrofox: a Motion Graphics Tool for Creating Audio-Reactive Visuals Synced to Music

Astrofox is a motion graphics tool for creating audio-reactive visuals synced to music. You can combine images and text with audio elements like sound waves and spectrum bars that react to music. You can go further by adding one of many effects like blur and glow to enhance your visuals. afterwards, you can save your work as high-definition and share them on social media sites to gain new fans.

The main goal of Astrofox is to provide you a tool that lets you quickly and easily create videos of amazing music visualizations.

This tool is useful especially to the following groups of people
  • Musicians because nowadays videos are everywhere and your goal is to have as many people as possible to hear your music. Astrofox lets you create eye-catching videos that will play on big social media platforms such as Instagram, Twitter and Facebook.
  • Artists and marketers can quickly and easily generate motion graphics without having to hire or pay a designer or developer.
  • Podcasters can easily put together a moving video to share.
  • Any creative who just loves tweaking stuff and experimenting.
Here is an illustration of how the tool works:

Astrofox has a built-in video renderer. After you have loaded your audio file and selected your visuals, simply click Save Video from the file menu.

Astrofox runs on Windows 7+, MacOS 10.10+ (Yosemite or newer) and Linux (Ubuntu 12.04+, Fedora 21, Debian 8). You will need a video card capable of running WebGL.
It is available for Windows, Linux and macOS and can be downloaded for free here.

Comments

Popular posts from this blog

Fun Terminal Commands Every Linux User Should Try

Accessing Maps from the terminal with MapSCII Requirements Telnet installed Internet Connection Firewall is disabled You can do this on Linux, Unix, Mac OS X or Windows with an app like PuTTY or the Windows 10 Linux bash shell or any Os that supports telnet. Open terminal and write the command below. telnet mapscii.me Hit enter and you're ready to browse and enjoy MapSCII. Navigate using the keyboard or mouse. Use the following keys on your keyboard Arrow keys: up, down, right, left A to zoom in Z to zoom out C toggles ASCII mode on/off You can also click and drag and hold on the map with your cursor. If your connection dropped without a reason, reconnect with telnet -E mapscii.me and use only cursors, A and Z to navigate. The Mapscii project is open source and you can install it locally if you'd like. Check out their project here on GitHub . The Dancing ASCII Party Parrot Requirements Curl installed Internet

SQL for Data Analysis - Udacity

  Entity Relationship Diagrams An  entity relationship diagram  (ERD) is a common way to view data in a database. Below is the ERD for the database we will use from Parch & Posey. These diagrams help you visualize the data you are analyzing including: The names of the tables. The columns in each table. The way the tables work together. You can think of each of the boxes below as a spreadsheet. What to Notice In the Parch & Posey database there are five tables (essentially 5 spreadsheets): web_events accounts orders sales_reps region You can think of each of these tables as an individual spreadsheet. Then the columns in each spreadsheet are listed below the table name. For example, the  region  table has two columns:  id  and  name . Alternatively the  web_events  table has four columns. The "crow's foot" that connects the tables together shows us how the columns in one table relate to the columns in another table. In this first lesson, you will be learning the bas

(Easy)Getting Started With R - Gapminder Dataset Part 1(Free Tutorial)

This guide will get you started on the path to exploring and visualizing your own data with the R programming language. It introduces you to the tidyverse which is a collection of data science tools within R for transforming and visualizing data. This is not the only set of tools in R, but it's a powerful and popular approach for exploring data. At every step, you'll be analyzing a real dataset called gapminder. Gapminder tracks economic and social indicators like life expectancy and the GDP per capita of countries over time. The experience you gain on this example will help you in analyzing your own data. You'll learn to draw specific insights and communicate them through informative visualizations with the ggplot2 package.  The first code you'll write is to load two R packages, which is done by writing library(packagename). R packages are tools that aren't built into the language, but were created later by other programmers. Each of them provides tools