Word clouds are becoming increasingly popular in data science and analytics. They are successors of tag clouds or better said younger siblings. The main difference is that tag clouds are usually made of tags manually written by user(s) or chosen from a predefined list and word clouds are based on some advanced text analytics mostly performed by software algorithms. Word clouds are used as a tool to extract essence of some text corpus and to represent it in a graphic form. Words with the higher frequency are shown bigger and those with lower frequency smaller or even excluded. This is the basic concept but the algorithm is quite a bit more complex. But is it possible to apply the word cloud algorithm on custom text without coding?