Prepare for Apple’s App Store data disclosure requirements
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Apple requires developers publishing apps on the App Store to disclose
certain information
regarding their apps' data use. Apple has
announced that these
disclosures are required for new apps and app updates starting December 8, 2020.
This document contains ML Kit library behaviors that could require disclosure
according to Apple's guidelines.
This page lists the data collected by only
the latest version of each
ML Kit iOS SDK.
Collected data
Data collected in all features
| Data
|
By default, the ML Kit SDK collects...
|
| Device information
|
Device information (such as manufacturer, model, OS version and build)
and available ML hardware accelerators. Used for diagnostics and usage
analytics.
|
| Application information
|
Bundle ID and app versions. Used for diagnostics and usage analytics.
|
| Device or other identifiers
|
Per-installation identifiers that are not intended to uniquely identify a
user or physical device. Used for diagnostics and usage analytics.
|
| Performance metrics
|
Performance metrics (such as latency). Used for diagnostics and usage
analytics.
|
| API configuration
|
API configuration (such as image format and resolution). Used for
diagnostics and usage analytics.
|
| Event type
|
Event type (such as feature initializations, model downloads, detection,
resource releases). Used for diagnostics and usage analytics.
|
| Error codes
|
Error code for feature events (such as feature initializations, model
downloads, detection, resource releases). Used for diagnostics and usage
analytics.
|
Custom object detection and image labeling
MLKitObjectDetectionCustom
MLKitImageLabelingCustom
Translate
MLKitTranslate
Entity extraction and digital ink recognition
MLKitEntityExtraction
MLKitDigitalInkRecognition
- Configured languages. Used for diagnostics and usage analytics.
Smart reply
MLKitSmartReply
Language ID
MLKitLanguageID
- Identified languages. Used for diagnostics and usage analytics.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-07-10 UTC.
[null,null,["Last updated 2024-07-10 UTC."],[[["\u003cp\u003eStarting December 8, 2020, Apple requires developers to disclose data collection practices of their apps, including those using ML Kit.\u003c/p\u003e\n"],["\u003cp\u003eML Kit for iOS collects device information, application details, performance metrics, and other data for diagnostics and usage analytics across all features.\u003c/p\u003e\n"],["\u003cp\u003eSpecific ML Kit features, like custom object detection or translation, may collect additional data such as model information or configured languages.\u003c/p\u003e\n"],["\u003cp\u003eSome ML Kit features utilize Firebase services, requiring further data disclosure as outlined in Firebase documentation.\u003c/p\u003e\n"],["\u003cp\u003eDevelopers should review the detailed data collection information provided for each ML Kit feature to ensure accurate and complete disclosure to Apple.\u003c/p\u003e\n"]]],["Apple mandates developers disclose app data usage, effective December 8, 2020. The ML Kit iOS SDK collects device, application, and identifier information, performance metrics, API configuration, event types, and error codes, for diagnostics and usage analytics. Custom object detection and image labeling features also collect model details. Translate, Smart Reply features collect configured or identified languages. Entity extraction and digital ink recognition also gather configured languages. Specific features may use Firebase for additional functions.\n"],null,["# Prepare for Apple’s App Store data disclosure requirements\n\nApple requires developers publishing apps on the App Store to disclose\n[certain information](https://developer.apple.com/app-store/app-privacy-details/)\nregarding their apps' data use. Apple has\n[announced](https://developer.apple.com/news/?id=vlj9jty9) that these\ndisclosures are required for new apps and app updates starting December 8, 2020.\nThis document contains ML Kit library behaviors that could require disclosure\naccording to Apple's guidelines.\n\nThis page lists the data collected by only\n[the latest version](https://developers.google.com/ml-kit/release-notes) of each\nML Kit iOS SDK.\n\nCollected data\n--------------\n\n### Data collected in all features\n\n|-----------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|\n| **Data** | **By default, the ML Kit SDK collects...** |\n| Device information | Device information (such as manufacturer, model, OS version and build) and available ML hardware accelerators. Used for diagnostics and usage analytics. |\n| Application information | Bundle ID and app versions. Used for diagnostics and usage analytics. |\n| Device or other identifiers | Per-installation identifiers that are not intended to uniquely identify a user or physical device. Used for diagnostics and usage analytics. |\n| Performance metrics | Performance metrics (such as latency). Used for diagnostics and usage analytics. |\n| API configuration | API configuration (such as image format and resolution). Used for diagnostics and usage analytics. |\n| Event type | Event type (such as feature initializations, model downloads, detection, resource releases). Used for diagnostics and usage analytics. |\n| Error codes | Error code for feature events (such as feature initializations, model downloads, detection, resource releases). Used for diagnostics and usage analytics. |\n\n### Extra data collected in specific features\n\n#### Custom object detection and image labeling\n\n`MLKitObjectDetectionCustom` \n\n`MLKitImageLabelingCustom`\n\n- If you are using these libraries with custom models, the following data is collected:\n - Name, version, and URI/URL of the machine learning model for diagnostics\n- If you are using [Firebase Model Deployment](https://firebase.google.com/docs/ml/manage-hosted-models) with *`MLKitLinkFirebase`* to remotely host a custom model, refer to the [Firebase ML model downloader](https://firebase.google.com/docs/ios/app-store-data-collection#firebasemlmodeldownloader) and [Firebase installations](https://firebase.google.com/docs/ios/app-store-data-collection#installations) sections in [Prepare for Apple Store data disclosure requirements](https://firebase.google.com/docs/ios/app-store-data-collection).\n\n#### Translate\n\n`MLKitTranslate`\n\n- Configured source and destination languages. Used for diagnostics and usage analytics.\n- ML Kit uses *Firebase remote config* and *Firebase installations* for remote configuration diagnostics. Please refer to the [Firebase remote config](https://firebase.google.com/docs/ios/app-store-data-collection#remote-config) and [Firebase installations](https://firebase.google.com/docs/ios/app-store-data-collection#installations) sections in [Prepare for Apple Store data disclosure requirements](https://firebase.google.com/docs/ios/app-store-data-collection).\n\n#### Entity extraction and digital ink recognition\n\n`MLKitEntityExtraction` \n\n`MLKitDigitalInkRecognition`\n\n- Configured languages. Used for diagnostics and usage analytics.\n\n#### Smart reply\n\n`MLKitSmartReply`\n\n- Identified languages. SmartReply internally uses language identification to only respond to specific languages. Used for diagnostics and usage analytics.\n- ML Kit uses *Firebase remote config* and *Firebase installations* for remote configuration diagnostics. Please refer to the [Firebase remote config](https://firebase.google.com/docs/ios/app-store-data-collection#remote-config) and [Firebase installations](https://firebase.google.com/docs/ios/app-store-data-collection#installations) sections in [Prepare for Apple Store data disclosure requirements](https://firebase.google.com/docs/ios/app-store-data-collection).\n\n#### Language ID\n\n`MLKitLanguageID`\n\n- Identified languages. Used for diagnostics and usage analytics."]]
