TrustedBlocker 4+

Babur Shah Israr

    • Free

Screenshots

Description

TrustedBlocker is a small app, which enhances surfing with Safari on your iPhone or iPad: Disturbing advertisments like overlays or blinking banners are reduced to a minimum and thus your experience surfing the web is greatly improved. Did you know that about 50%-90% of data being transferred to your device while you visit a website is to display adverts? Precious amounts of your data included in your plan is wasted for content you likely did not want to see. TrustedBlocker stops loading of such elements and Safari can load websites much faster than before - and on top of that you save data.

With TrustedBlocker you have full control over what content is being blocked and from which domains (URLs). The app shows you a list of all blocked domains and you have total control over what is being blocked. You can add new domains yourself and don't need for us to update the block list. And don't worry, TrustedBlocker cannot save any data about your surfing habits as it has no way to see where you surf. On top of that the only connection TrustedBlocker establishes with it's server is to download a list of domains to block or if you report a website to have unwanted content displayed.

* Speeds up surfing with Safari on your iPhone or iPad

* Stops being tracked by social networks (has to be explicitly activated in TrustedBlocker)

* No transmitting of data to TrustedBlocker's Server.

* No tracking of surfing habits.

* Absolute transparency about what is being blocked including the domain names.

What’s New

Version 1.20

New version for new iPhones & iPads
Removed functions which were not used at all
Does what it should: Removes unwanted content (ads)

App Privacy

The developer, Babur Shah Israr, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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