Prepare for Apple’s App Store data disclosure requirements

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.
IP address Network request sender IP addresses. 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.

Extra data collected in specific features

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.