sensitive_content_analysis 1.0.0-rc.3

Dart package for interacting with Apple's Sensitive Content Analysis Framework.

Sensitive Content Analysis

Provide a safer experience in your app by detecting and alerting users to nudity in images and videos before displaying them onscreen.

Dart package for interacting with Apple's SensitiveContentAnalysis Framework.

Minimum requirements

• iOS/iPadOS >=17.0
• macOS >=14.0

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Install

Add the app entitlement:

The OS requires the com.apple.developer.sensitivecontentanalysis.client entitlement in your app’s code signature to use SensitiveContentAnalysis. Calls to the framework fail to return positive results without it. You can can add this entitlement to your app by enabling the Sensitive Content Analysis capability in Xcode.

<key>com.apple.developer.sensitivecontentanalysis.client</key>
<array>
	<string>analysis</string>
</array>

Usage

Analyze File Image:

  try {
    final sca = SensitiveContentAnalysis.instance;
    final ImagePicker picker = ImagePicker();

    // Pick an image.
    final XFile? image = await picker.pickImage(source: ImageSource.gallery);

    if (image != null) {
        Uint8List imageData = await image.readAsBytes();

        // Analyze the image for sensitive content.
        final bool? isSensitive = await sca.analyzeImage(imageData);
        if (isSensitive != null) {
            return isSensitive;
        } else {
            debugPrint("Enable ”Sensitive Content Warning” in Settings -> Privacy & Security.");
            return null;
        }

    } catch (e) {
        return null;
    }
  }

Analyze Network Image:

Install the test profile

For testing purposes Apple provides a test profile with which you can test the QR code, without having to install actual NSFW content.

See: https://developer.apple.com/documentation/sensitivecontentanalysis/testing_your_app_s_response_to_sensitive_media

final String? analyzeUrl = "https://docs-assets.developer.apple.com/published/517e263450/rendered2x-1685188934.png";

  try {
    final sca = SensitiveContentAnalysis.instance;

    if (analyzeUrl != null) {
        // Analyze the network image for sensitive content.
        final bool? isSensitive = await sca.analyzeNetworkImage(url: analyzeUrl);
        if (isSensitive != null) {
            return isSensitive;
        } else {
            debugPrint("Enable ”Sensitive Content Warning” in Settings -> Privacy & Security.");
            return null;
        }

    } catch (e) {
        return null;
    }
  }

Analyze Video:

• todo

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Caveats

• Unlike with other ML models, Apple's SensitiveContentAnalysis does not return a list of probabilities.
• Unlike with other ML models, Apple's SensitiveContentAnalysis does not allow additional training.
• Unlike with other ML models, Apple's SensitiveContentAnalysis is not open source.

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Notice: This package was initally created to be used in-house, as such the development is first and foremost aligned with the internal requirements.