softorbits[.]net/unblur-photos/
If you go to the product page [link above for convenience] you'll see a photo of some yellow flowers -- they are also shown further down the page with a slider to preview the difference the app can make, before & after processing. That's an honest depiction / example -- I saved the image from the web page & ran it through Easy Photo Unblur. The page also shows a YouTube video -- the static image for that video uses dramatic license to be polite. You'll not make any appreciable difference to that image using this, or AFAIK Any other software. For any doubters you can take a screenshot & try for yourself, just like I did. Easy Photo Unblur is as the name suggests, designed to be easy, and it might make the pictures you took look a little bit better without having to learn anything or spend much time doing it.
That said, I'm not sure how many people would bother. Cell phone cameras are normally always there, handy when you want/need them, and they can be surprisingly good. [ zdnet[.]com/article/i-went-to-the-zoo-with-a-2500-camera-and-a-pixel-7-pro-the-results-surprised-me/ ] Cell phones nowadays are also computers that can do photo editing using apps &/or online. And in most cases it's still not trivial to get those photos on your PC/laptop to edit them, assuming you'd want to. On the other hand using a regular camera & editing on a PC you can still do things a phone cannot, but to use those options you increasingly need to invest both time & money. And if you're going to rise to that level, I don't think you're as likely to bother with easy solutions at the expense of max quality. With its batch processing, Easy Photo Unblur *might* appeal to those using a document scanner to digitize collections of photo prints, where the emphasis is clearly on quantity.
There are mainly 3 things contributing to blurring in a photo, making the picture less sharp than maybe you'd like... When you take a photo a digital camera adds noise, while with a film camera you get grain [the chemical coating that makes negative film & print paper work is not totally uniform, showing something quite like the pixels you see on a digital photo under magnification]. The lens focus can also be off, while some optics are just higher quality than others, producing a sharper image. Plus the camera &/or subject can move during the time it took to make the exposure.
Your camera already uses software to try & somewhat reduce blur while it's translating the sensor output to a saved file, while it might also have physical shake reduction, or that may be built into the electronics. Using the lowest ISO possible can also help a Lot with noise. When all that isn't enough, the most that you can get out of software is *usually* just enough improvement that you can see a difference. The only potential exception is using AI noise reduction, which can *in some cases* help quite a bit. Apps like Skylum's Luminar Neo can use AI to sort of fake it, adding detail that can make the overall image appear sharper to your eyes, and you can do a little bit of that in Photoshop / Lightroom, emphasizing detail, though you run the very real risk of helping some portions of the photo while [sometimes dramatically] hurting other parts. A solution is to use masks to prevent whatever filter or process from effecting the parts of the photo where they'll do harm, but to do that you need software that works as a plugin with a full image editing app, & that's not Easy Photo Unblur's thing.
The problem is that software has no way of knowing what's in your photo, though in some cases, e.g., notably faces, it's come a long way. Since it doesn't know what the individual objects are in the picture, it doesn't know what they're supposed to look like, and has to guess what & where the edges are for each object, usually based on things like the color &/or contrast between pixels. That's why the results can vary so widely depending on what's in the photo. Noise in the image can make that harder if not impossible, depending on how much noise there is. Motion blur is generally impossible to correct, since the objects in the picture are themselves stretched. Our brains can say that's a ball & the rest of it's trail should be eliminated -- software not so much.