Prepare for Google Play’s data disclosure requirements

Last modified: May 14, 2025

In May 2021, Google Play announced the new Data safety section , which is a developer-provided disclosure for an app's data collection, sharing, and security practices.

This page can help you complete the requirements for this data disclosure in regards to your usage of ML Kit Android SDKs. On this page, you can find information on whether and how our SDKs handle end-user data, including any applicable configurations or invocations you can control as the app developer.

We aim to be as transparent as possible in supporting you; however, as the app developer, you are solely responsible for deciding how to respond to Google Play's Data safety section form regarding your app's end-user data collection, sharing, and security practices.

How to use the information on this page

This page lists the data collected by only the latest version of each ML Kit Android SDK.

To complete your data disclosure, you can use Android's guide about data types to help you determine which data type best describes the collected data. In your data disclosure, make sure to also account for how your specific app shares and uses the collected data.

Overview of data encryption and data sharing for ML Kit Android SDKs:

Data encryption	For the collected data listed on this page, ML Kit encrypts the data in transit using HTTPS.
Data sharing	For the collected data listed on this page, ML Kit does not transfer this data to third-parties.

Collected data

Data collected in all features

Data

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

Package name and app versions. Used for diagnostics and usage analytics.

Device or other identifiers

For thin features:

Device identifier used for diagnostics and usage analytics.
Per-installation identifiers that are not intended to uniquely identify a user or physical device. Used for diagnostics and usage analytics.

For bundled features:

Per-installation identifiers that are not intended to uniquely identify a user or physical device. Used for diagnostics and usage analytics.

For GenAI features:

User, device or other identifiers used for diagnostics and usage analytics.
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.

Feature input and output size

Input and output size used for diagnostics and usage analytics.

Feature version

Feature version 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 image labeling and object detection

com.google.android.gms:play-services-mlkit-image-labeling-custom
com.google.mlkit:object-detection-custom
com.google.mlkit:image-labeling-custom

If you are using these libraries with custom models, the following data is collected:
- Name, version, and URI/URL of the machine learning model for diagnostics
If you are using Firebase Model Deployment with com.google.mlkit:linkfirebase to remotely host a custom model, refer to the Firebase ML model downloader and Firebase installations sections in Prepare for Google Play data disclosure requirements .

Object detection and pose detection

com.google.mlkit:object-detection
com.google.mlkit:pose-detection
com.google.mlkit:pose-detection-accurate

ML Kit uses Firebase remote config and Firebase installations for remote configuration diagnostics. Please refer to the Firebase remote config and Firebase installations sections in Prepare for Google Play data disclosure requirements .

Entity extraction and digital ink recognition

com.google.mlkit:entity-extraction com.google.mlkit:digital-ink-recognition

Configured languages. Used for diagnostics and usage analytics.

Smart reply

com.google.mlkit:smart-reply

Identified languages. SmartReply internally uses language identification to only respond to specific languages. Used for diagnostics and usage analytics.
ML Kit uses Firebase remote config and Firebase installations for remote configuration diagnostics. Please refer to the Firebase remote config and Firebase installations sections in Prepare for Google Play data disclosure requirements .

Language ID

com.google.android.gms:play-services-mlkit-language-id com.google.mlkit:language-id

Identified languages. Used for diagnostics and usage analytics.

Translate

com.google.mlkit:translate

Configured source and destination languages. Used for diagnostics and usage analytics.
ML Kit uses Firebase remote config and Firebase installations for remote configuration diagnostics. Please refer to the Firebase remote config and Firebase installations sections in Prepare for Google Play data disclosure requirements .

Barcode scanning

com.google.android.gms:play-services-code-scanner
com.google.android.gms:play-services-mlkit-barcode-scanning
com.google.mlkit:barcode-scanning

If you enable auto zoom option, the following data is collected:
- Dynamically generated id for the scanning session that is not intended to uniquely identify a user or physical device.
- Zoom level change for auto-zoom events.
- Predicated coordinates of a bounding box potentially containing a barcode for an auto-zoom.

GenAI

com.google.mlkit:genai-image-description
com.google.mlkit:genai-proofreading com.google.mlkit:genai-rewriting
com.google.mlkit:genai-summarization

Configured languages. Used for diagnostics and usage analytics.

Prepare for Google Play’s data disclosure requirements Stay organized with collections Save and categorize content based on your preferences.