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Truecaller For iPhone Gets Real-Time Caller ID And Auto Spam Blocking
The latest update integrates with Apple’s Live Caller ID Lookup framework, launched with iOS 18 last year.
Truecaller has rolled out a major update for iPhone users, introducing API support that brings real-time caller identification and automatic spam blocking. The upgrade aims to bring the iOS version of the app closer to its Android counterpart, which has long offered these advanced call-screening features.
The latest update integrates with Apple’s Live Caller ID Lookup framework, launched with iOS 18 last year. The technology allows third-party apps to cross-check incoming calls against a database of known spam numbers in real-time. Importantly, the process employs “homomorphic encryption,” ensuring user privacy by masking the caller’s number, concealing the client’s IP address, and using anonymous authentication.
With this update, Truecaller has also introduced global automatic spam call blocking for iPhones. However, the real-time caller ID feature is being released gradually and is available only to Truecaller Premium subscribers on iPhones running iOS 18.2 or later. Free users will still have access to ad-supported features, such as manual number searches and caller identification for verified businesses.
How To Enable The New Features
To activate the new features, follow these steps:
- Update the Truecaller app to version 14.0 or newer via the App Store.
- Go to Settings > Apps > Phone > Call Blocking & Identification on your iPhone.
- Turn on all Truecaller toggles, then restart the app.
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While these features are new to iOS, Truecaller has hinted at this update for months. Following Apple’s iOS 18 update and the introduction of its Live Caller ID API last September, Truecaller Co-founder Alan Mamedi shared his excitement on X (formerly Twitter), saying, “Truecaller finally works on iPhone”.
The global rollout of spam call blocking is already live, but users may need to wait for gradual access to the live caller ID feature.
News
Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
