Breakfast with Words
The most used words about Audrey Hepburn in her wikipedia article.
Download PDFÂ Â JO-D-100407-Audrey-ENG (1.6MB)
Claude Monet
A beautiful Monet Painting with the most used words in this wikipedia article.
A closer look.

Download PDF Â JO-D-100406-Monet (445kB)
Words of Charity
Mother Teresa words portrait.
Most representative words from this wikipedia article. To identify the important words, I take just the capitalized words with two or more repetitions.
Here is the list: teresa (81), missionaries (28), charity (27), india (23), calcutta (18), catholic (15), hitchens (11), besra (8), august (7), loreto (7), thomas (7), vatican (7), chatterjee (6), christian (6), christopher (6), john (6), paul (6), september (6), albanian (5), hindu (5), international (5), jesus (5), keating (5), muggeridge (5), pope (5), prize (5), blessed (4), bojaxhiu (4), brian (4), francis (4), gonxhe (4), holy (4), kolodiejchuk (4), livermore (4), mar (4), nobel (4), peace (4), reception (4), rev (4), rome (4), saint (4), agnesĂ« (3), aids (3), aroup (3), award (3), christ (3), commemoration (3), criticism (3), kalighat (3), october (3), republic (3), roman (3)…
Perhaps too much abstract. You have to take distance in order to ‘view’ the main subject. But I like it a lot, probably because of the really nice original image (from: http://mtomnibus.wordpress.com/2008/12/03/inward-journey/ I am not sure if it is the original autor. Sorry if not)
Download PDFÂ JO-D-100324-MotherTeresa-ENG (282kB).
Country road in Provence by words
Again?… It seems that I like Van Gogh. It’s true, but I also think that my algorithm works well with Van Gogh painting style… I like the results that’s why I want to share it with you.
The image base is “Country road in Provence by night” and the Van Gogh quote: “the way to know life is to love many things”.
Download PDFÂ JO-D-100317-VanGoghRoad-ENG (439kB)
Detail view.
3D alphabet experiment
I am in the middle of a new ‘special’ poster, and I am making some testing with different technics… For example trying to use the Zdepth map with my algorithm… with no acceptable results
But… I want to share with you some of my test files. This one is based in a render of a random geometry (3dsmax and Grebble). It contains only alphabet letters. Quite simple but no too bad. Suitable for abstract forms fans.
Download PDF JO-D-100310-Grebble-ENG (2.7MB)
Wheatfield with Words
Another Van Gogh quote spread over one of his incredible pictures.
The picture “Wheatfield with Crows”, the quote “I dream of painting and then I paint my dream”.
There are more than 48.000 single words in this image.
Download PDF JO-D-100308-VanGoghTrigal-ENG (647kB)
A closer look.
All the files under Creative Commons License.
If you want me to do something like that with your personal images you can contact me by email at juanosborne@gmail.com.
You can add your suggestions here.
Sydney
Another City in Words.
Download PDF sydney-eng.pdf (627kB).
Same approach as the NYC image. Words and photo from this wikipedia article.
Biiiiiiiiiiiiiiiiig Paris
Same approach as the NYC image.
The image and the words from this Wikipedia article. Benh Lieu Song is the autor of this great shot.
This is a HUGE image with more than 300.000 words, so be careful with your computer resources.
Imagine
Download imagine-eng.pdf (415kB)
Here is my version of the usual “Imagine by John Lennon” art. An irresistible temptation took me to make my own version of this really nice (and better than mine) image .
In this case the words just spread without a fixed height. There is more than 20.000 words so I estimate that it show all the words of the song about fifty times.
Images are free only for personal use.
New York City
Download newyorkcity-eng.pdf (740kB).
Words taken from wikipedia article about New York City. Original image from the same wikipedia article. It’s a panoramic night view, looking north from the Empire State Building (image from Diliff)
This is an oportunity to test the limits of the algorithm. So I’m thinking of a really large print, like a building facade or the interior wall of a restaurant (of course I’m architect). This will be the target, don’t blame me if you try to print it on a little piece of paper.
So there will be new rules: Only uppercase or firstcase words, these must be representative words of the city. Only words with two or more hits, I only need the most representative of them. Result… there is only 223 words left from (aprox) 3.000.
First twenty words: york 250, manhattan 52, american 48, brooklyn 23, bronx 22, queens 19, staten 18,central 15, jersey 11, lower 11, university 11, county 10, international 10, hall 9, boroughs 8, court 8, liberty 8, african 7, broadway 7, college 7.
After a couple of test I realised that I cannot use the count method to calculate the word size, because I need to put almost 20.000 words to get a nice result. Then I discarded the counter value and redistributed the sizes using an exponential function between two fixed values.
Hope you like it. Images free for personal use.











