I’m trying to add the .header accessibility trait to a UISegmentedControl so that VoiceOver recognizes it accordingly. However, setting the trait using the following code doesn’t seem to have any effect: segmentControl.accessibilityTraits = segmentControl.accessibilityTraits.union(.header) Even after applying this, VoiceOver doesn’t announce it as a header. Is there any workaround or recommended approach to achieve this?

Context: We are using UIKit to provide accessibility in our app for our iOS users. Our app majorly contains documents/books that user can read. Issue: The issue is VoiceOver is skipping the lines given to it when there are some leading spaces in it. We have observed this issue in different languages. This is only happening for line granularity, other granularities seems to be working as expected. Implementation: We are using below API's to provide line content to voice over. UIAccessibilityReadingContent - accessibilityPageContent - accessibilityFrameForLineNumber - accessibilityContentForLineNumber We are creating UIAccessibilityElement objects to pass to VoiceOver and each UIAccessibilityElement implements UIAccessibilityReadingContent to provide readable content. We also use below APIs to cross element boundaries for all granular navigations. accessibilityNextTextNavigationElement accessibilityPreviousTextNavigationElement We want to know whether skipping the line when provided with leading spaces is expected or a bug in UIKit.

When iOS screen reader reads the month "July" in its shorter version "Jul" its not reading it correctly as month, where as all other months name it reading it correctly in shorter version, so as a result all dates comes under that month when we display in front end and use a screen reader to read it then it will read out as number not date. I have tried the longer version with the screen reader and then its reads correctly July as well.

The AVSpeechSynthesizer on some iOS 18 device has a bug that it will read always read Chinese of: AVSpeechUtterance(string: "中文") // Any Chinese Content in the dialect specified by: Settings > Accessibility > Spoken Content > Voices > Chinese > Spoken Language instead of the dialect that I specified in AVSpeechUtterance.voice: AVSpeechSynthesisVoice(language: "zh-HK") // Cantonese AVSpeechSynthesisVoice(language: "zh-TW") // Mandarin However, setting Chinese dialect of AVSpeechSynthesisVoice by "zh-HK" or "zh-TW" has been working on iOS 17 and below. My app has a feature that requires reading sentences in Mandarin followed by Cantonese, i.e., both dialects is needed every time. Therefore, setting the dialect in Spoken Language of Settings is not a workaround to make my app to function correctly in iOS 18. Further to the above, I've also discovered that, if iOS 18 (in my case, 18.5 is tested) is freshly installed (not upgrading from iOS 17 or below, nor restoring backup after fresh installation of iOS 18), the bug above will not happen. However, if it was an upgrade from iOS 17 or below, or backup is restored (in my case, I freshly installed iOS 18.5 on a new iPhone and then restored a backup from another iPhone on iOS 16.2), the bug above happens. This bug puzzled me because I need both dialect of Chinese to be read aloud one by one, but as reported by many users, on most iOS 18 devices (since a fresh installation of latest iOS without upgrading or restoring is uncommon nowadays), my app will read Cantonese two times or Mandarin two times (depending on Spoken Language in Settings). It is the iOS 18 bug which made my app unable to perform the expected behavior. Would Apple developers look into this and advise if there are any possible workaround within the code of app to overcome this bug, or please fix this bug with an iOS 18 update. Thank you.

Hi everyone, I’ve been analyzing the current state of Sign Language accessibility tools, and I noticed a significant gap in learning tools: we lack real-time feedback for students (e.g., "Is my hand position correct?"). Most current solutions rely on 2D video processing, which struggles with depth perception and occlusion (hand-over-hand or hand-over-face gestures), which are critical in Sign Language grammar. I'd like to propose/discuss an architecture leveraging the current LiDAR + Neural Engine capabilities found in iPhone devices to solve this. The Concept: Skeleton-based Normalization Instead of training ML models on raw video frames (which introduces noise from lighting, skin tone, and clothing), we could use ARKit's Body Tracking to abstract the input. Capture: Use ARKit/LiDAR to track the user's upper body and hand joints in 3D space. Data Normalization: Extract only the vector coordinates (X, Y, Z of joints). This creates a "clean" dataset, effectively normalizing the user regardless of physical appearance. Comparison: Feed these vectors into a CoreML model trained on "Reference Skeletons" (recorded by native signers). Feedback Loop: The app calculates the geometric distance between the user's pose and the reference pose to provide specific correction (e.g., "Raise your elbow 10 degrees"). Why this approach? Solves Occlusion: LiDAR handles depth much better than standard RGB cameras when hands cross the body. Privacy: We are processing coordinates, not video streams. Efficiency: Comparing vector sequences is computationally cheaper than video analysis, preserving battery life. Has anyone experimented with using ARKit Body Anchors specifically for comparing complex gesture sequences against a stored "correct" database? I believe this "Skeleton First" approach is the key to scalable Sign Language education apps. Looking forward to hearing your thoughts.

In our application we are using a pop over view and we have enabled the accessibility VoiceOver, When user navigating inside the popover and reached to the last element that time with the right swipe we need to dismiss the popover.

Hey everyone, I've been thinking about a truly innovative way to enhance iPhone battery life and user convenience, drawing inspiration from kinetic energy harvesting. What if we could have a clock display on the main iPhone screen that's powered purely by user motion, and activates only when you look at it, without touching your main battery? The Core Idea Imagine this: Kinetic Energy Harvesting: Your iPhone would have a tiny, integrated kinetic energy generator. This generator would capture the energy from your everyday movements – walking, picking up the phone, putting it in your pocket. Independent Power Source: This harvested energy would be stored in a small, dedicated capacitor or micro-battery, completely separate from your iPhone's main battery. Acelerometer-Activated Display: Instead of relying on power-hungry facial recognition, the phone's accelerometer (a very low-power sensor) would detect specific "raise to wake" or "tap to look" gestures. On-Demand, Ultra-Low Power Clock: Only when the accelerometer detects one of these specific gestures would the stored kinetic energy be used to illuminate just the necessary pixels on the main OLED/AMOLED screen to display the time. The rest of the screen stays completely black (consuming no power on OLED). Automatic Shut-Off: As soon as the gesture ends or the phone is put down, the clock display would turn off, conserving the limited harvested energy. Why This Matters This isn't just a cool gimmick; it offers significant benefits: True Battery Independence: Get the time at a glance, anytime, without touching your main battery or even the power button. This means more main battery life for apps, calls, and everything else. Ultimate Convenience: A "magical" interaction – just pick up your phone, and the time instantly appears. No taps, no button presses. Sustainable & Innovative: Showcases practical "energy harvesting" in a consumer device, pushing boundaries for self-sufficient tech. Extreme Energy Efficiency: By using a low-power accelerometer as the trigger and only lighting a few pixels on demand, the system is designed for minimal power draw, making kinetic power a viable source. This concept combines existing low-power sensing (accelerometer), efficient display technology (OLED/AMOLED's true blacks), and cutting-edge energy harvesting, creating a genuinely innovative user experience.

Should I allow the CIJSULAgent to find devices on local network?

After 26 IOS update, the colors on my new iPad Pro M4 have become extremely dull almost like those on a very old device. The screen brightness is significantly reduced, and it's now difficult to see UI elements clearly. This is very disappointing considering the device’s high display quality before the update. Please advise if this is a known issue or if there's a fix.

After IOS 26 beta 2 installation in my iphone 13, I can't do a screenshot using assistivetouch nor touch on back.

Is there any way to get history?

hi giys,can anyone help me bcouse i cant pair my apple watch series 1 with my iPhone 15

Hello! I was doing some accessibility testing for my app and found out that when the user switches the text size, all of the data in the text fields is reset, which causes major disruption. I've tried looking for documentation, but all I've found is information on how to dynamically scale the UI for different text sizes, which I've already implemented. My guess is that every time Dynamic Type registers a change, it redraws my UI instead of just updating it. How can I make sure the data is not reset when the text size changes?

I’m trying to customize the keyboard focus appearance in SwiftUI. In UIKit (see WWDC 2021 session Focus on iPad keyboard navigation), it’s possible to remove the default UIFocusHaloEffect and change a view’s appearance depending on whether it has focus or not. In SwiftUI I’ve tried the following: .focusable() // .focusable(true, interactions: .activate) .focusEffectDisabled() .focused($isFocused) However, I’m running into several issues: .focusable(true, interactions: .activate) causes an infinite loop, so keyboard navigation stops responding .focusEffectDisabled() doesn’t seem to remove the default focus effect on iOS Using @FocusState prevents Space from triggering the action when the view has keyboard focus My main questions: How can I reliably detect whether a SwiftUI view has keyboard focus? (Is there an alternative to FocusState that integrates better with keyboard navigation on iOS?) What’s the recommended way in SwiftUI to disable the default focus effect (the blue overlay) and replace it with a custom border? Any guidance or best practices would be greatly appreciated! Here's my sample code: import SwiftUI struct KeyboardFocusExample: View { var body: some View { // The ScrollView is required, otherwise the custom focus value resets to false after a few seconds. I also need it for my actual use case ScrollView { VStack { Text("First button") .keyboardFocus() .button { print("First button tapped") } Text("Second button") .keyboardFocus() .button { print("Second button tapped") } } } } } // MARK: - Focus Modifier struct KeyboardFocusModifier: ViewModifier { @FocusState private var isFocused: Bool func body(content: Content) -> some View { content .focusable() // ⚠️ Must come before .focused(), otherwise the FocusState won’t be recognized // .focusable(true, interactions: .activate) // ⚠️ This causes an infinite loop, so keyboard navigation no longer responds .focusEffectDisabled() // ⚠️ Has no effect on iOS .focused($isFocused) // Custom Halo effect .padding(4) .overlay( RoundedRectangle(cornerRadius: 18) .strokeBorder( isFocused ? .red : .clear, lineWidth: 2 ) ) .padding(-4) } } extension View { public func keyboardFocus() -> some View { modifier(KeyboardFocusModifier()) } } // MARK: - Button Modifier /// ⚠️ Using a Button view makes no difference struct ButtonModifier: ViewModifier { let action: () -> Void func body(content: Content) -> some View { content .contentShape(Rectangle()) .onTapGesture { action() } .accessibilityAction { action() } .accessibilityAddTraits(.isButton) .accessibilityElement(children: .combine) .accessibilityRespondsToUserInteraction() } } extension View { public func button(action: @escaping () -> Void) -> some View { modifier(ButtonModifier(action: action)) } }

I am seeing a strange issue where NSObject accessibilityRespondsToUserInteraction returns true on Simulator but false on device. Checking the same object on simulator with Accessibility inspector I see the object traits as image so why would it return true in that case? Are there any other way to check the the item might be accessibilityRespondsToUserInteraction OR Clickable beside that property and traits? (Or is it just another bug)

I have an issue in my app when it is used together with the assistive access feature. For authentication, we are using the capacitor firebase authentication plugin (https://www.npmjs.com/package/@capacitor-firebase/authentication) which enables users to login via apple (FirebaseAuthentication.signInWithApple(...)), google (FirebaseAuthentication.signInWithGoogle(...)), or email. Works just fine. However, when the assistive access feature is enabled, the login fails for apple ("The operation couldn't be completed. com.apple.AuthenticationServices.AuthorizationError error 1000) and google ("The user canceled the sign-in flow). It seems like the popups for sign-in are blocked and therefore an error is returned immediately. The popups may be blocked by assistive access, causing the capacitor plugin to be unable to authenticate. I have tested this on my iPhone 12 Pro using iOS 17.7 I would appreciate any suggestions to handle this issue!

While editing the search text using the external keyboard (with VoiceOver on), if I try to navigate the to List using the keyboard, the focus jumps back to the search field immediately, preventing selection of list items. It's important to note that the voiceover navigation alone without a keyboard works as expected. It’s as if the List never gains focus—every attempt to move focus lands back on the search field. The code: struct ContentView: View { @State var searchText = "" let items = ["Apple", "Banana", "Cherry", "Date", "Elderberry", "Fig", "Grape"] var filteredItems: [String] { if searchText.isEmpty { return items } else { return items.filter { $0.localizedCaseInsensitiveContains(searchText) } } } var body: some View { if #available(iOS 16.0, *) { NavigationStack { List(filteredItems, id: \.self) { item in Text(item) } .navigationTitle("Fruits") .searchable(text: $searchText) } } else { NavigationView { List(filteredItems, id: \.self) { item in Text(item) } .navigationTitle("Fruits") .searchable(text: $searchText) } } } }

I can’t screenshot using assistive touch after i install ios 26 beta 2

Hi I'm planning to make macos App and distribute to MacOS App Store. The question is should i make force update when update is needed. The reason why I want to make this feature is I don't want to make user use previous version of app. My plan is like this. when app needed update, make user reach special page that describe why update is needed and set a button that can download new version of app. the download will be automatically doing at background don't need to visit app store. I search several forums and gpt but there is no positive reply of this.. so finally i make a post to know is there no way to make this. Thank you!

Hi everyone, I've encountered a rare and strange crash in my app that I can't consistently reproduce. The crash seems to occur deep within Apple's internal frameworks, and I can't pinpoint which line of my own code is causing it. Here's the crash stack trace: #44 AXSpeech SIGSEGV SEGV_ACCERR 0 CoreFoundation ___CFCheckCFInfoPACSignature + 4 1 CoreFoundation _CFRunLoopSourceSignal + 28 2 Foundation _performQueueDequeue + 492 3 Foundation ___NSThreadPerformPerform + 88 4 CoreFoundation ___CFRUNLOOP_IS_CALLING_OUT_TO_A_SOURCE0_PERFORM_FUNCTION__ + 28 5 CoreFoundation ___CFRunLoopDoSource0 + 176 6 CoreFoundation ___CFRunLoopDoSources0 + 340 7 CoreFoundation ___CFRunLoopRun + 828 8 CoreFoundation _CFRunLoopRunSpecific + 608 9 Foundation -[NSRunLoop(NSRunLoop) runMode:beforeDate:] + 212 10 TextToSpeech _TTSCFAttributedStringCreateStringByBracketingAttributeWithString + 776 11 Foundation ___NSThread__start__ + 732 12 libsystem_pthread.dylib __pthread_start + 136 Sometimes, instead of line 10 referencing _TTSCFAttributedStringCreateStringByBracketingAttributeWithString, it shows: 10 TextToSpeech LogWarning(char const*, ...) + 7288 Has anyone experienced a similar issue or know what might be triggering this crash? Any guidance on how to investigate or resolve this would be greatly appreciated. Thank you!