I search though some old images to find something with text to compare text processing from Gigapixel AI at 2x vs ON1 RAW Resize 2023 at 2x. The sign was in one corner of the image and was cropped from 6000 x 4000 pixel to only 1309 x 1896 pixels, thus is quite a heavy crop. Gigapixel is on the left and ON1 Resize is on the right. And this is showing me that ON1 Resize, at least the 2023 version, is handling text better. I also have the 2019 version of ON1 Resize still on my PC as I have only loaded the 2023 version just a couple days ago with the Flack Friday sales.I have noticed this problem with lettering too. I suspect that the AI perhaps is not sufficiently trained on letterimg.That didn't seem to be the clearest way of showing the relative performances. I am trying again, with the actual size of the images (actually all cropped to equivalent of 2000x1500 to make it a bit more obvious)
I hope that makes more sense, otherwise please just ignore! Incidentally all settings on Gigapixel are at the lowest. I just find it does not do well where there are strong contrasts ad sharp edges like the lettering in these samples. It looks OK to me on the bricks
Based on these tests, I will continue to use the 1.4TC, and be very cautious of using GP to get a bigger magnification if I am hoping to print really large. I guess I will have to try to find a 2.0TC! (or stick with my 100-400)
Note, these were taken in atrocious conditions in RAW processed in DXO without any sharpening
toRAWI
I need to do some experimenting with ON1 RAW Resize 2023, and see if it can do any better.

The new size is now 2600 x 3769 pixels. On1 is clearly handling the text better. In fact, much better. I need to try more examples now as it has caught my attention.
Both conversions were done on the RAW file without using Lightroom. The camera was the Olympus EM5ii and the lens was the kit lens, the 14-42mm.
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