I had to replace certain sensitive data in photocopied document in order to who these to the public. There are popular photocopy filters, including for gimp, but these are geared to images, not for text. Here are what I did to achieve good enough result so now I can show the data to different audiences. It is probably easy to show that part of it is cheated but that is not the problem here. The process is mostly the same for Gimp 2.8 and 2.10, just the pixelize pixel size calculation seem to differ.
Lets take this unpleasant text as the point of departure:
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)
It’s dimension is 417x93 pixels.
- Figure out the right font and fontsize. The font size may differ quite a bit from the one used in the original document as this is a function of both original size and scan density. In this example case 39 points works well. You can compare the height of “l” and other similar letters. Note that FreeSerif fonts are quite close to Times New Roman.
- Write the text with text tool. It allows you to correct it later but it’s a bit cumbersome. I’d do it somewhere on the white background, just to see if everything is right.
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)
- Move the just created text layer in the correct place, over the original text. In this way you can easily see if the size is correct, and fine-adjust it’s placement:
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)
- Delete the original text from underneath the new one. The best way to do this is to select the original image layer and operate there.
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- As the filters do not work well on text layer, you have to flatten the image. Converting text layers to ordinary layers will probably do too but I did not investigate this option much. Use the menu: Image -> Flatten image. The visible result does not change.
Now select the new text in the image and apply all the following filters on this:
- Add a little bit of pick noise (I used 5%) to make the otherwise identical letters slightly different. It is in Filters -> Noise -> pick. Pick swaps around colors of neighboring pixels, in my experience 5-10% pick is a good choice:
![](data:image/jpeg;base64,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- Next, pixelize the text: Filters -> blur -> pixelize. The suitable pixel size depends on how large are the pixels in your original text, I used 3 points in gimp 2.8 and 2 points in gimp 2.10:
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)
- Apply threshold to transform the intermittent grays into black and white: Colors -> threshold. This is the most important step that very much determines how will your final text look like. Play with the threshold value to achieve a result that is sufficiently dark but not too dark. I used the threshold value 167:
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)
- Finally, add some more pick noise, in order to simulate some small-scale randomness: Filters -> Noise -> pick. I used 5% amount, this looks about right:
![](data:image/jpeg;base64,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)
This text looks a lot more pleasant than the original one, right?