Same approach as the Obama post.

Download Iron Maiden (English version).pdf (195kB).
Download Iron Maiden (Spanish version).pdf (174kB).

In this case I used more than one hundred and fifty lyrics from Iron Maiden songs over an image of Eddie The Head, the well know band mascot (one of these incredibles Derek Riggs illustrations). The font used is Metal Lord, based in the band logo.

As usual you can use these files only for personal use, and you cannot modify them.

First 20 (of 2088) more often words in the lyrics: just 175, time 169, know 165, see 143, come 138, live 137, now 137, can 133, feel 127, get 114, take 113, dream 110, look 105, got 103, tell 103, go 101, life 99, world 97, make 95, like 89.

Other links:

Derek Riggs homepage.
Iron Maiden homepage.

(a tribute to ‘Rafa the Head’)

Click in the image for high resolution. You can also download the PDF English version or the Spanish one. In the PDF version the words are vectors so you can print it in a very large format (ISO-A1 or so) to have a nice poster for your office/room.

Download Obama Speeches (English version).pdf (360kB).

Download Obama Speeches (Spanish version).pdf (360kB).

All those images are free for non-commercial personal use. You can distribute freely, but you cannot modify them in any way. Please refer to this site if you redistribute them.

Inspired by the excellent work of Jeff Clark (http://neoformix.com/) I coded an algorithm in Processing that transform images in words in different ways.

I have tested it for a few months and now I want to share the results with you. This is the first example of a series of texts art images that Iwill be posting in the next weeks. Here is the process…

First I took the transcriptions of more than one hundred Obama speeches from the website http://obamaspeeches.com/. Then I counted all words using an adapted version of the Snowball stemmer for Processing (thanks to Lot!, http://feenelcaos.org/). I also picked up an Obama photo using Google Image to find a good one.

Finally I use my ‘image pattern searcher’ algorithm (I have to find a name for it) to fit all the words in the image. In this case the more times the word appears in the speeches the bigger it is (proportionally).

Here you have an example of the 20 more often words in the speech:  can,785, american,683 , people,648, one,619, time,561, years,548, country,521, work,481, make,477, need,454, just,440, know,415, america,399, go,384, come,356, care,355, nation,352, now,345, like,343, right,332.

In order to get a nicer result I also let the algorithm reuse words but only in a smaller font size.

Note that the Spanish version of this image used a direct Google translation of the English words. So some of them may sound like “Spanglish” or have a bad translation because Google cannot take care of the context.