Here’s an open-source Google Circle To Search alternative that works offline



A developer has just released his own version of Circle To Search for all Android devices. This open-source alternative to Google’s Circle To Search allows users to draw a circle, search for what they want, and use it on any Android device that’s on Android 10 and above.

Aditya, the developer, has said that his Circle To Search does not require the internet for text recognition, and it can also detect QR codes, and does Smart Scan offline, without requiring uploading these images to Google servers, which is the case with Google’s version. That’s perhaps the most annoying thing about Google’s Circle To Search, where pretty much everything you search for ends up on Google servers, even text.

What stands out most is that if you’ve de-Googled your phone, you can still use this feature. You have to stick with the multi-search engine option, though, as you’ll need the Google App to use the Google Lens version. Aditya is a solo developer working on this and said that the application needs more improvement and polish.

Google’s Circle To Search pretty much locks your search engine options, but this developer’s Circle To Search works with Bing, Yandex, and even TinEye, which is a great tool for reverse image search. Google’s Circle To Search has also removed the ‘Share’ and ‘Save’ features, but you can make use of them both with this open-source alternative version. You can draw a circle over something you wish to share or bookmark for later.

This Circle to Search has some safety concerns to patch up

Thankfully, the developer is working on them

All searches made using Google’s CTS are done by uploading those selections to Google servers. While that’s no good news, this developer’s Circle To Search is also not the best choice for privacy reasons. As one user highlights, the application uses Catbox to upload images for search. Catbox is a file storage server that stores the uploaded files for pretty much forever. So, do be mindful of what you circle and search when using this application.

The developer acknowledged the safety issue and said he’s working on removing Catbox and moving towards a self-host approach, where the device would act as the server and share the image directly with the search engine.

He also said that he’s looking for a way to add another confirmation layer so as to prevent accidental uploads to the server for searches. If you’re interested in trying it out, you can find the application on Github.

Source: Lemmy



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Recent Reviews


There’s something oddly brilliant about outsourcing your curiosity to an AI that doesn’t get tired or awkward. After all, if an AI agent can call thousands of pubs and build a Guinness price index, why stop there? Why not send one loose into the wild to track the cost of your daily caffeine fix or your late-night ramen cravings?

I’m sold — I want one of those

That’s exactly the kind of domino effect sparked by a recent experiment inspired by Rachel Duffy from The Traitors. A developer built an AI voice agent that sounded natural enough to chat up bartenders and casually ask for Guinness prices, compiling the data into a public index. It worked so well that most people on the other end didn’t even clock that they were speaking to a machine. And just like that, a slightly chaotic, very clever idea turned into something surprisingly useful.

Now imagine applying that same idea to coffee and ramen. Because if there are two things people are oddly loyal and sensitive about, it’s how much they’re paying for a flat white or a bowl of tonkotsu.

A “CaffIndex,” for instance, could map out the price of cappuccinos across cities, highlighting everything from overpriced aesthetic cafés to hidden gems that don’t charge $3 for foam. Similarly, a “Ramen Radar” could track where you’re getting the most bang for your broth, whether it’s a premium bowl or a spot that somehow gets everything right. Don’t giggle, I’m serious.

The appeal isn’t just novelty. It’s scale. Calling up a handful of places yourself is tedious. Getting real-time, city-wide data? Nearly impossible. But an AI agent doesn’t mind dialing a thousand numbers, repeating the same question, and logging every answer with monk-like patience. What you get in return is a living, breathing map of prices.

It’s not all sunshine and roses

Of course, it is not all smooth sipping and slurping. There is a slightly uneasy side to this, too. Questions around consent and transparency start to creep in, and you cannot help but wonder if every business would be okay with being surveyed by an AI that sounds just a little too real. In the original experiment, the AI was designed to be honest when asked directly, but let’s be real: most people aren’t going to question a friendly voice casually asking about prices. It feels harmless in the moment, and that is exactly what makes it a bit tricky.

Still, there is something genuinely exciting about the idea. Not in a scary, robots-are-taking-over kind of way, but in a way that makes you pause and think, this could actually be useful if handled right. Prices are creeping up everywhere, from your rent to that comforting bowl of ramen you treat yourself to after a long day. Having something that keeps track of it all feels like a small win.

Maybe that is the real takeaway here. Today it is Guinness. Tomorrow it could be your morning coffee or your go-to ramen spot. It makes you wonder how long it will be before your phone steps in, calls up a café, asks about their espresso, and saves you from spending more than you should. Because honestly, if AI is willing to do the boring work for you, the least it can do is make sure your next cup and your next bowl actually feel worth it.



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