All AI is not the same

Let’s be honest - AI in photo apps isn’t an imposition.

In fact, if anything, it just works. It’s almost magical to be searching for a specific picture of your dog, mid-air, on a beach, from a decade ago, and find it immediately by just typing ‘dog jumping beach’. People have wanted this for years, and now that it is finally here, nobody is going back. Every photo app will have it, Ente Photos included.

But the thing to consider is a narrower question - what does the software actually have to know about you for that search to happen, and where does that knowing happen?

Your photos are obviously full of data.

What you looked like over the years, your relationships, your kids, what your house looks like, what car you drive, where you went for holidays, the friends who turn up on your birthday, the friends who stopped showing up a few years back, and a million other things. Nobody consciously registers all of this as data, but its data nonetheless, and as soon as an AI agent has access to all of this it can start processing them into information, by labelling faces, creating timelines, and modelling relationships and behaviours.

Google Photos is undeniably great at this.

Their Ask Photos feature can draw on user-inputted face groups, names and relationships, location, and situational context from the contents of the picture themselves to answer as random a question as ‘What kind of cake did I have on my birthday 4 years back?’ All it needs is that your photos are backed up on Google’s servers, because the model doing the work exists on their servers.

And herein lies the trade-off.

The question you type may be reviewed by Google staff to improve their features, Ask Photos keeps a list of things it’s learned about you from your questions, feedback you give is stored in Photos Activity, and continued background refinement means that your data keeps getting worked on even when you’ve closed the app. None of this is inherently malicious. It is what server-side AI is. If you want personalized insights, generative editing, and contextual responses, the AI model obviously needs more intimate access to your life and, in some cases, human review to ensure quality and accuracy.

But there is another way.

Ente Photos has AI Search too. It includes face recognition. It includes semantic search. It includes object recognition. It includes location-based search. It includes date-time based search. It includes text recognition. It includes people grouping. It can find you the picture of the dog jumping mid-air on a beach from a decade ago. But what it cannot do is tell you what kind of cake you had on your birthday 4 years back. Because that needs a model that can reason across faces, text, and context at once, and that model can currently only exist on a server. The AI for Ente Photos exists only on your phone.

Ente's servers never see your pictures.

Ente’s servers don’t even see your queries, the results, or your feedback; nothing gets refined in the background because there’s no reviewer, and there is literally nothing to review. It’s how Ente Photos is built. That is why we cannot deliver the exact AI Search experience that Google Photos can. Because the gap between us is exactly the extra amount of yourself that you’d have to hand over. And we are not comfortable with that.

You might be. And that’s fine. We just think there should be an option for people who'd rather keep their life on their own phone instead of a company’s server, even if it means that the AI does a tiny bit less.

Whether that trade-off is worth it is up to you.