Photo Sense

"A quick and easy to use photo enhancement application."


VeprIT Photo Sense is a Mac OS and iOS software designed to make your photographs more attractive quickly and easily, without spending a lot of time and money on learning, purchasing, and using professional photo manipulation software. Photo Sense for Mac OS can also be used as a batch image converter/resizer (down-sampler). For images of the same size, it can even be used to perform batch image cropping and straightening.

Photo Sense for Mac OS (the full version) enables you to:

• Automatically apply professional image enhancement techniques to multiple photos.
• Compare photos before and after processing, choose which ones to save.
• Adjust processing options for selected photos to improve automatic results.
• Improve the composition by cropping and straightening.
• Give your photos an artistic finishing touch by applying various creative effects.
• Speedup the workflow by copying & pasting processing options, effects, and even crop & straighten settings between images.
• Convert image format.
• Resize (downsample) images.

Photo Sense philosophy key points: easy (mostly automatic) non-destructive image editing, batch processing.

Photo Sense Lite and Photo Sense for iOS work with only one photograph at a time. For more information on the difference between these and the full version see Photo Sense Lite limitations and Photo Sense for iOS.

Is it possible to create great photos without acquiring professional photography skills?

Have you ever wondered why professional photographs look so much better than most amateur ones? Do you want to improve your photos, make them look more professional without huge time and money investments? While this goal is very ambitious (after all, it takes many hard-working years to become a good photographer), it is still achievable to some extent!

What does it take to create great photographs?

There are two major steps in creating great digital photographs: (i) taking photos with a camera and (ii) improving them in software. Both steps require certain skills, significant efforts, and investments to achieve good results. While both steps are very important, editing photos in photo enhancement software can significantly improve any photographs, not only those taken professionally with expensive equipment.

Why does not everyone use professional photo enhancement software?

Professional photo manipulation software is very difficult to learn, and is also very expensive. Moreover, even when you have bought and learned it, professional image enhancement software still requires very much time and effort to achieve the best results. Both the financial investment and the time required to learn and use professional photo enhancement software are prohibitive for most amateur photographers.

So what is the solution? Is there any affordable, fast and easy photo enhancement software for Mac OS?

VeprIT Photo Sense comes to rescue, addressing the problems amateur photographers face when trying to improve their photographs. Photo Sense is an affordable Mac OS photo enhancement software which automatically applies professional image improvement techniques to your photographs, saving you infinite amounts of time and money. Instead of spending time to manually improve every picture in a professional photo enhancement program, you can let Photo Sense automatically improve multiple photographs. Moreover, to further perfect your photos, you can also work in a semi-automatic mode, choosing what Photo Sense should and should not do with different photographs. To save time, you can even apply the desired image processing options to multiple photographs at a time!

What is behind VeprIT Photo Sense?

Photo Sense developers have several years of professional photography experience. As a result, Photo Sense uses exactly the same image enhancement techniques as those used for professional manual photo enhancement. The only shortcoming VeprIT Photo Sense has compared to the manual work in a professional photo editor is the lack of human vision, which sometimes can lead to a non-optimal automatic choice of image processing parameters.