Google Introduces Accessibility Scanner for iOS To Make iOS Applications More Accessible

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Google_Introduces-Accessibility-Scanner-for-iOS-To-Make-iOS-More-Accessible Google Introduces Accessibility Scanner for iOS To Make iOS Applications More AccessibleSearch engine giant Google has introduced a new tool, Accessibility Scanner for iOS, which is intended to make it easier for building iOS applications that house visually-impaired and hard of hearing users. The company’s Accessibility Scanner for iOS, or GCSXScanner assists to explore, debug, and fix common accessibility issues in iOS codebases. According to the company, developing an app can be a time-consuming process, in particular when it involves human analysts. While a new capability is being built, often there a range of iterations of code changing, creating, launching, and trying out the new feature. But it’s faster and easier to fix accessibility issues with the feature if they can be spotted during the developer is working with the new feature.

GCSXScanner is an Objective-C library that sits in an iOS app’s process, and it’s available on GitHub in open source. Installing it overlays a tappable, draggable Perform Scan button atop the target app that kicks off a scan for bugs. The tool largely utilizes GTXiLib, a library that comprises various built-in checks for accessibility issues, but also supports an extensible plugin framework for adding custom tests. The tool’s announcement came out a day after the search engine company launched Lookout, an app for Pixel smartphones which utilizes the same core computer vision technology as Google Lens to assist visually impaired users to see by pointing their phone at objects and making to the Company’s growing library of accessibility apps.

Moreover, in January, it was reported that Google released Live Transcribe and Sound Amplifier to transcribe speech and amplify sounds using Machine Learning algorithms. Moreover, the company debuted an app, named Voice Access, last year that replaces touch screen tap interactions with voice equivalents.