My app has been stuck in “Waiting for Review” status since August 6th, over a week now. I’ve submitted multiple expedited review requests and haven’t received any response or update on any of them. This delay is holding up my launch and affecting my ability to plan around it. I understand expedited review isn’t guaranteed, but getting no reply at all, even a decline, makes it hard to know whether the request was seen or if something else is holding up the review. Could someone look into my case and let me know what’s going on? Best regards, App Name: Ratiō - AI Calorie Tracker Apple ID: 6790632661

Hi Apple Developer Community, I’m preparing an iOS app called Titech for App Review. The app is intended for clinic/business users and provides preliminary AI-generated cosmetic analysis and preview guidance based on user-submitted face photos. The app is not intended to provide medical advice, diagnosis, or treatment decisions, and users are told to consult qualified experts before acting on any recommendation. We have received multiple App Review rejections and I would appreciate guidance on whether our current approach is aligned with Apple’s expectations. Current issues raised by App Review: Guideline 2.1 - Information Needed Apple asked for more information about how the app uses face data, including: What face data is collected How it is used, stored, retained, deleted, and shared Whether it is shared with third parties Where this is explained in the privacy policy Exact privacy policy text about face data We updated the app and privacy policy to explain that: Users voluntarily upload front, left-side, and right-side face photos Photos may be sent to our backend and processed by OpenAI through the OpenAI API Face ID/fingerprint data is not collected Uploaded face photos and generated preview images are deleted after the active session ends The app does not sell face data or share it with advertisers/data brokers Guideline 2.1(b) - Information Needed Apple asked about the business model and whether users access paid content. Our app does not currently include paid digital content, subscriptions, credits, or in-app purchases. Access is controlled by a registration code for clinic/business users and App Review only. Guideline 2.3.3 - Accurate Metadata Apple said the screenshots did not show the current version of the app in use. We replaced the screenshots with updated iPhone and iPad screenshots showing: Clinic access Consent and face-data disclosure Photo capture AI-generated analysis Recommendations Side effects page Generated preview flow My questions: For apps using user-submitted face photos with a third-party AI API, is it enough to clearly disclose OpenAI processing in the consent screen and privacy policy, or should this also be repeated elsewhere in the app flow? For face photos that are deleted after the active session ends, what wording does Apple generally expect around retention and deletion? Since the app is clinic/business access only and does not sell digital content, is a registration code acceptable if we clearly explain that it is not a paid digital unlock? Are there any additional App Review notes or privacy policy sections that developers usually include for apps involving face photos and AI-generated preliminary recommendations? For metadata, should the screenshots avoid login/consent screens entirely, or is it acceptable to include them as long as most screenshots show core app functionality? Any advice from developers who have passed review with apps involving user-uploaded face photos, AI analysis, or cosmetic/health-adjacent recommendations would be very helpful. Thank you.

It's fairly well know and stated that the Apple Health / HealthKit data store is unavailable when iPhone is locked. Since Lock Screen Widgets were introduced there's been a feature parity mismatch with Apple's own Fitness app which is able to display updating Activity Rings on the Lock Screen. Third party apps cannot do this and have to rely unlocking their device to then trigger an update. This means they often display stale and wrong Health data. With the release of iOS 18 beta, I see no changes to this... Is there anything I've missed? Currently for requesting the Timeline Updates on my Widget I have to just keep requesting updates as often as possible and hope that each time the iPhone might be unlocked.... This is inefficient and a waste of device resources. Even a Widget timeline reload API that let the developer say "Only call update if iPhone unlocked" would be useful.

Hello everyone, I’m experiencing a visual issue when dismissing a sheet on iOS 26. I’m using the same implementation shown in the official Apple documentation. While testing, I noticed that some apps do not exhibit this behavior. However, when running this code on iOS 26, the issue consistently occurs. Issue description: The sheet dismisses abruptly A white screen briefly appears for a few milliseconds and then disappears This results in a noticeable visual glitch and a poor user experience I tested the exact same code on iOS 18, where the sheet dismisses smoothly and behaves as expected, without any visual artifacts. Has anyone else encountered this issue on iOS 26? Is this a known bug, or is there a recommended workaround? Any insights would be greatly appreciated. Thank you.

I'm developing a watchOS meditation app in which the user starts one continuous meditation session. During that session, I'd like the app to obtain a 1-minute HRV measurement immediately after the session begins (to establish a baseline), and then automatically obtain another 1-minute HRV measurement approximately 6 minutes after the session started, without requiring the user to manually start a second measurement or leave the app. My understanding is that HealthKit allows apps to read HRV samples after they have been recorded, but I haven't found a way to request that the watch generate a new HRV measurement. Is there any public API that allows a third-party watchOS app to initiate an HRV measurement similar to the Mindfulness/Breathe app, or otherwise request the Apple Watch to collect a new HRV sample at predetermined times during an ongoing session? Thanks in advance, Hern

In the WWDC 2019 session "Extended Runtime for WatchOS apps" the video talks about an entitlement being required to use the HR sensor judiciously in the background. It provides a link to request the entitlement which no longer works: http://developer.apple.com/contect/request/health-monitoring The session video is also quite hard to find these days. Does anyone know why this is the case? Is the API and entitlement still available? Is there a supported way to run, even periodically, in the background on the Watch app (ignoring the background observer route which is known to be unreliable) and access existing HR sensor data

I am currently developing an app that measures HRV to estimate stress levels. To align the values more closely with those from Galaxy devices, I decided not to use the heartRateVariabilitySDNN value provided by HealthKit. Instead, I extracted individual interbeat intervals (IBI) using the HKHeartBeatSeries data. Can I obtain accurate IBI data using this method? If not, I would like to know how I can retrieve more precise data. Any insights or suggestions would be greatly appreciated. Here is a sample code I tried. @Observable class HealthKitManager: ObservableObject { let healthStore = HKHealthStore() var ibiValues: [Double] = [] var isAuthorized = false func requestAuthorization() { let types = Set([ HKSeriesType.heartbeat(), HKQuantityType.quantityType(forIdentifier: .heartRateVariabilitySDNN)!, ]) healthStore.requestAuthorization(toShare: nil, read: types) { success, error in DispatchQueue.main.async { self.isAuthorized = success if success { self.fetchIBIData() } } } } func fetchIBIData() { var timePoints: [TimeInterval] = [] var absoluteStartTime: Date? let dateFormatter = DateFormatter() dateFormatter.timeZone = TimeZone(identifier: "Asia/Seoul") dateFormatter.dateFormat = "yyyy-MM-dd HH:mm:ss.SSS" var calendar = Calendar.current calendar.timeZone = TimeZone(identifier: "Asia/Seoul") ?? .current var components = DateComponents() components.year = 2025 components.month = 4 components.day = 3 components.hour = 15 components.minute = 52 components.second = 0 let startTime = calendar.date(from: components)! components.hour = 16 components.minute = 0 let endTime = calendar.date(from: components)! let predicate = HKQuery.predicateForSamples(withStart: startTime, end: endTime, options: .strictStartDate) let sortDescriptor = NSSortDescriptor(key: HKSampleSortIdentifierStartDate, ascending: false) let query = HKSampleQuery(sampleType: HKSeriesType.heartbeat(), predicate: predicate, limit: HKObjectQueryNoLimit, sortDescriptors: [sortDescriptor]) { (_, samples, _) in if let sample = samples?.first as? HKHeartbeatSeriesSample { absoluteStartTime = sample.startDate let startDateKST = dateFormatter.string(from: sample.startDate) let endDateKST = dateFormatter.string(from: sample.endDate) print("series start(KST):\(startDateKST)\tend(KST):\(endDateKST)") let seriesQuery = HKHeartbeatSeriesQuery(heartbeatSeries: sample) { query, timeSinceSeriesStart, precededByGap, done, error in if !precededByGap { timePoints.append(timeSinceSeriesStart) } if done { for i in 1..<timePoints.count { let ibi = (timePoints[i] - timePoints[i-1]) * 1000 // Convert to milliseconds // Calculate absolute time for current beat if let startTime = absoluteStartTime { let beatTime = startTime.addingTimeInterval(timePoints[i]) let beatTimeString = dateFormatter.string(from: beatTime) print("IBI: \(String(format: "%.2f", ibi)) ms at \(beatTimeString)") } self.ibiValues.append(ibi) } } } self.healthStore.execute(seriesQuery) } else { print("No samples found for the specified time range") } } self.healthStore.execute(query) } }

Hi, We are integrating HKQuantityTypeIdentifierTimeInDaylight into a research application and have a few questions about how developers should interpret the data returned by HealthKit. Specifically: Should TimeInDaylight samples be treated as having a fixed minimum temporal granularity (for example, approximately 5-minute intervals), or is the sample duration implementation-dependent and subject to change? Is there any expected latency between a daylight exposure event and the corresponding TimeInDaylight sample becoming available through HealthKit? For example, are samples intended to appear shortly after exposure, or only after periodic processing and synchronization? In the Health app, each Time in Daylight sample displays a Maximum Light Intensity (lux). Is this value available through the public HealthKit API (e.g., metadata), or is it only used internally by the Health app? More generally, should developers consider TimeInDaylight to be a high-level derived metric rather than expecting a direct correspondence with underlying ambient light sensor observations? Thank you.

Dear SensorKit team, We are currently working with SensorKit ambient light data under our approved SensorKit entitlement for research use. We would be grateful for some technical clarification on the sampling strategy for the SRSensor.ambientLightSensor stream, as this directly affects how we analyse and report the data. In exported data from Apple Watch, we observe that ambient light samples do not appear to follow a fixed sampling cadence. Instead, the data appear burst-like: in one short window, we see many samples with inter-sample intervals around 100 ms, occasional near-duplicate timestamps, and then gaps of around 10 to 30 seconds with no samples. This suggests that the stream may be adaptive, event-triggered, buffered, or subject to system-level sampling decisions. We also noticed a related discrepancy when comparing the SensorKit ambient light trace with the Health app display for a corresponding Time in Daylight sample. In one example, the Health app shows a 5-minute Time in Daylight interval with a “Maximum Light Intensity” value of 9,493 lux. In the SensorKit ambient light trace around that period, the raw samples show a different maximum depending on the precise time window considered, including higher values shortly before the HealthKit interval start and lower values within the subset of SensorKit samples we inspected. We realise that Time in Daylight may be generated by a separate internal aggregation or classification pipeline, but this comparison raised the question of how closely SensorKit ambient light samples should be expected to correspond to the light intensity values displayed in Health. Could you clarify the following points for SensorKit ambient light data? Is SRSensor.ambientLightSensor sampled at a fixed cadence, or is sampling adaptive / event-driven? If sampling is adaptive, what factors influence sampling density? For example, changes in illuminance, device or wrist motion, device orientation, display state, app state, power state, charging state, or other system-level conditions. Are ambient light readings buffered and delivered or exported in bursts? Do SensorKit timestamps correspond to the physical sensor acquisition time, processing time, or the time at which the sample is made available through SensorKit? Are duplicate or near-duplicate ambient light samples expected in SensorKit exports? Are there circumstances under which ambient light sampling is suspended, downsampled, or suppressed? Is SensorKit ambient light expected to match, approximate, or differ from the light intensity values shown in Health app Time in Daylight sample details? Is the “Maximum Light Intensity” shown for Time in Daylight computed from the same underlying ambient light sensor stream exposed through SensorKit, or from a separate internal stream or aggregation? Are there recommended practices for analysing SensorKit ambient light data, especially with respect to irregular sampling, burst sampling, missing intervals, and aggregation to longer time windows? Is the sampling strategy the same across Apple Watch hardware versions, or should researchers expect device-specific differences? We do not need proprietary implementation details. Our goal is to understand the methodological constraints well enough to analyse the data appropriately and describe the limitations accurately in scientific work. Thank you!

Hello everyone, We are encountering a critical regression introduced in iOS 26.4 that results in permanent workout data loss for users. When invoking HKWorkoutBuilder.finishWorkout(completion:) while the iOS device is locked, the save operation fails completely. However, it fails silently: the completion handler executes but returns both a nil workout and a nil error. Expected Behavior: Before iOS 26.4 finishWorkout resulted in a workout id, and correctly stored the workout data in HealthKit. According to HealthKit data protection documentation, saving data when the device is locked should either succeed (writing to a temporary journal file to be merged upon unlock) or explicitly throw an error such as HKError.Code.errorDatabaseInaccessible. Actual Behavior: Because the framework returns nil for both the object and the error, the application has no way to detect that the save failed. We cannot implement a retry mechanism or queue the save, resulting in silent data loss. Steps to Reproduce: We have built a Minimal Reproducible Example (MRE) that reliably triggers this: Initialize an HKWorkoutBuilder and call beginCollection(withStart:) followed by endCollection(withEnd:). Wrap the finishWorkout call in a short 5-second asynchronous delay, protected by a UIBackgroundTask to prevent app suspension. Lock the physical device during this 5-second window. The finishWorkout completion handler will execute while the device is locked, returning workout == nil and error == nil. Existing Reports: We have filed this via Feedback Assistant (a month ago) and opened a TSI (a week ago), providing the MRE project and a sysdiagnose captured at the time of failure: Feedback ID: FB22396180 TSI Case-ID: 19755043 As we have not yet received a response or a suggested workaround through these official channels, we are reaching out to the community. Has anyone else encountered this silent failure with HKWorkoutBuilder recently? Any insights or escalation help would be greatly appreciated.

Hi everyone, I’d love to see Apple add full Sleep Tracking support for Apple Watches that are set up using Family Setup. Many families use Family Setup for children or older family members who don’t have an iPhone of their own. Sleep is one of the most important health metrics, and it would be incredibly useful if caregivers could view sleep duration and trends just like they can with other health features. This would help parents better understand their child’s sleep habits and would also be valuable for families caring for older adults. Even if detailed health data stayed private, allowing sleep summaries to sync through Family Setup would make the feature much more useful. I hope Apple considers adding this in a future watchOS update. Is this something anyone else would find helpful?

I'm building a tennis App, but I noticed the data update between the phone and watch keeps failing if I placed my camera on the baseline and player is moving around on the court. I'm trying to notify the player when they did something wrong when the camera detected it in realtime. I'm using HKWorkoutSession to keep the watch alive. Any suggestion?

We are seeing inconsistent results from HKStatisticsCollectionQueryDescriptor on iOS 27. Using the same quantity type, statistics options, anchor date, interval components, and predicate configuration, some date ranges return the expected statistics, while other ranges unexpectedly return empty results or buckets with no quantity. The affected ranges do contain HealthKit samples: HKSampleQueryDescriptor finds samples in the same date range. HKStatisticsQueryDescriptor returns the expected value when run separately for an affected bucket. HKStatisticsCollectionQueryDescriptor returns no quantity for that same bucket. Slightly expanding or shifting the date range may cause the collection query to return data again. A simplified version of the query looks like this: let datePredicate = HKQuery.predicateForSamples( withStart: startDate, end: endDate, options: .strictStartDate ) let descriptor = HKStatisticsCollectionQueryDescriptor( predicate: .quantitySample( type: quantityType, predicate: datePredicate ), options: .cumulativeSum, anchorDate: anchorDate, intervalComponents: DateComponents(day: 1) ) let collection = try await descriptor.result(for: healthStore) collection.enumerateStatistics(from: startDate, to: endDate) { statistics, _ in let quantity = statistics.sumQuantity() print(statistics.startDate, quantity as Any) } Expected behavior Every interval containing matching samples should return the corresponding statistics, regardless of the overall requested date range. Actual behavior Some date ranges produce missing or empty buckets even though matching samples exist and an individual HKStatisticsQueryDescriptor can calculate the expected value. Changing only the date range can make the data appear or disappear. The samples are visible to the app in the affected range, so this does not appear to be explained solely by iOS 27’s Limited History authorization. This behavior was not observed with the same query flow on earlier iOS versions. Is this a known regression in HKStatisticsCollectionQueryDescriptor on iOS 27, or has the expected date-range or predicate behavior changed?

I've built an iOS app according to this WWDC25 video (https://developer.apple.com/videos/play/wwdc2025/322). I added GPS tracking for workouts. In Xcode, I've enabled Signing & Capabilities > Background Modes: Location Updates. And in my code, I request CLAuthorisationStatus.authorizedAlways. Everything works as expected, but I am unsure if .authorizedWhenInUse will not be sufficient for this kind of app. It seems even to work when I use .authorizedWhenInUse as either the Dynamic Island or the Live Activity is shown when the app is not in the foreground. I need clarification by an expert.

this may be too hard to achieve at the moment. sepsis can develop very quickly News2 is an app available on the store that measures the components of sepsis - pulse rate, blood pressure,respiratory rate, oxygen levels, temperature and conscious level - new confusion, it was developed by the royal college of physicians. some of these things can be measured on an Apple Watch. I am not a doctor, but I wonder if it would be possible to develop something for a watch that would prompt the wearing to think about it or even ask are you ok and manage in a similar way to it looks like you have had a fall. it might mean the wearer adding more information into Apple health, for instance whether they have Copd, use oxygen etc, so the system has a baseline jus a thought, and the rcp would be the best people to contact regarding the efficacy of this, but if it could be added, it has the potential to save lives

Hello everyone, I am not a developer, just someone with some ideas. my first thought is regarding activity rings- stand, move, exercise. In the current heatwave, health advise on how we do these things changes, meaning the way we complete them may be different or we might not be able to complete them at all. This could de motivate people. is there a way to link them to uk weather alerts or outside temperature so that they complete differently in a heat alert? could they link to a drink water alert?

We're seeing an intermittent issue with HKWorkoutBuilder.finishWorkout() in our production app. Our workflow is: builder.beginCollection(withStart: start) { success, error in guard success else { return } let authorizedSamples = samples.filter { self.healthStore.authorizationStatus(for: $0.quantityType) == .sharingAuthorized } builder.add(authorizedSamples) { success, error in guard success else { return } builder.endCollection(withEnd: end) { success, error in guard success else { return } builder.finishWorkout { workout, error in print("workout = \(String(describing: workout))") print("error = \(String(describing: error))") } } } } The logs from affected users are: workout builder begin: result: true, error: nil authorized samples: - HKQuantityTypeIdentifierActiveEnergyBurned - HKQuantityTypeIdentifierDistanceWalkingRunning - HKQuantityTypeIdentifierStepCount workout builder add samples: result: true, error: nil workout builder end: result: true, error: nil workout builder finish: workout: nil, error: nil Result The quantity samples (active energy, distance, step count, etc.) are successfully written to Apple Health. However, no HKWorkout is created. Querying HealthKit immediately afterward also confirms that no HKWorkout exists for the corresponding time range. As a result: The workout does not appear in the Fitness app. It does not contribute to Activity Rings. The quantity samples are visible, but there is no associated workout. Environment We've received reports from multiple users on: iOS 26.4 iOS 26.5 iOS 26.6 iOS 27 beta The issue only affects a small percentage of users. The vast majority complete successfully using exactly the same code path. Things we've verified We've ruled out several common causes: The app is in the foreground (UIApplication.shared.applicationState == .active). The device is unlocked. All HealthKit write permissions have been granted. finishWorkout() is called immediately after endCollection() completes. The quantity samples are successfully saved. Querying HealthKit afterward confirms that the HKWorkout itself was never created. This appears to be different from the documented "device locked" behavior, since the device is unlocked and active when the issue occurs. We also found a related discussion: https://developer.apple.com/forums/thread/825838 In that thread, the issue seems to be related to a locked device. However, our issue also occurs while the device is unlocked and the app remains active. Has anyone experienced similar behavior? Have you found any workaround? Has Apple provided any update through Feedback Assistant or DTS? Has anyone successfully recovered from this state by retrying finishWorkout() or using another approach? We're happy to provide additional logs or a minimal reproducible example if that would be helpful.

iOS 27 beta 3 broke my Apple health and blood pressure monitor and according to omron app, everything is being sent to Apple health. All permissions given. But blood pressure will not transfer into health.

Hello everyone, I am experiencing a strange issue regarding retrieving a custom tracking identifier (workoutPlan identifier) from a custom exported workout that has been imported via HealthKit. The Issue: First Fresh Install: When the app is installed for the first time and initialized, it fails to load/fetch the workout plan ID from the imported workout. Subsequent Launches / Re-installs: If I close and relaunch the app, the app successfully fetches the workout plan ID from HealthKit with absolutely no problems. Has anyone found a clean way to handle this without forcing a manual user refresh or an awkward delay/retry mechanism on the first launch? Any insight, workarounds, or best practices would be greatly appreciated! Environment: iOS 17+, Swift, HealthKit

Hello everyone, I am experiencing a strange issue regarding retrieving a custom tracking identifier (workoutPlan identifier) from a custom exported workout that has been imported via HealthKit. The Issue: First Fresh Install: When the app is installed for the first time and initialized, it fails to load/fetch the workout plan ID from the imported workout. Subsequent Launches / Re-installs: If I close and relaunch the app, the app successfully fetches the workout plan ID from HealthKit with absolutely no problems. Has anyone found a clean way to handle this without forcing a manual user refresh or an awkward delay/retry mechanism on the first launch? Any insight, workarounds, or best practices would be greatly appreciated! Environment: iOS 17+, Swift, HealthKit