sensitive_content_analysis 2.1.2

Flutter package for detecting and alerting users to nudity in images and videos before displaying them, utilizing the SensitiveContentAnalysis Framework by Apple.

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.

Flutter package for interacting with Apple's SensitiveContentAnalysis Framework.

Minimum requirements

Lower deployment versions may be targeted, however, it's important to note that the SCA Framework is exclusively compatible with:

• iOS/iPadOS >=17.0
• macOS >=14.0

Other Notice's

• In order to maintain the package's lightweight nature and grant you complete control over your UI's appearance, this package intentionally refrains from incorporating an overlay or blur feature.
• The framework only works on physical devices. #3

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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>

Install the test profile

For testing purposes, Apple offers a test profile that enables you to evaluate the frameworks functionality without the necessity of installing actual NSFW content.

See: https://developer.apple.com/documentation/sensitivecontentanalysis/testing-your-app-s-response-to-sensitive-media

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Usage and Examples

Check Policy:

    try {
      AnalysisPolicy? policy = await sca.checkPolicy();
      _showResultDialog("Policy Check", "Policy: ${policy?.name}");
      /// Analysis is disabled; always returns null from analysis methods.
      /// .disabled

      /// Simple interventions (e.g. blurring) are suggested.
      /// .simpleInterventions

      /// Descriptive interventions with richer guidance are suggested.
      /// .descriptiveInterventions

    } catch (e) {
      _showResultDialog("Error", e.toString());
    }

Analyze Image

File Image:

    try {
      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.
        SensitivityAnalysisResult? isSensitive =
            await sca.analyzeImage(imageData);
        _showResultDialog(
            "Analysis Result", "SENSITIVE: ${isSensitive?.isSensitive}");
      }
    } catch (e) {
      _showResultDialog("Error", e.toString());
    }

Network Image:

  try {
      const url =
          "https://docs-assets.developer.apple.com/published/517e263450/rendered2x-1685188934.png";

      // Analyze the image for sensitive content.
      SensitivityAnalysisResult? isSensitive =
          await sca.analyzeNetworkImage(url: url);
      _showResultDialog(
          "Analysis Result", "SENSITIVE: ${isSensitive?.isSensitive}");
    } catch (e) {
      _showResultDialog("Error", e.toString());
    }

Analyze Video

Network Video:

    try {
      Dio dio = Dio();
      Directory tempDir = await getTemporaryDirectory();

      const url = "https://developer.apple.com/sample-code/web/qr-sca.mov";
      final videoName = p.basename(url);
      final file = File("${tempDir.path}/$videoName");
      final response = await dio.download(url, file.path);

      if (response.statusCode == 200) {
        SensitivityAnalysisResult? isSensitive =
            await sca.analyzeVideo(url: file.path);
        _showResultDialog(
            "Analysis Result", "SENSITIVE: ${isSensitive?.isSensitive}");
        await file.delete();
      }
    } catch (e) {
      _showResultDialog("Error", e.toString());
    }

Local Video:

    try {
      FilePickerResult? selectedFile = await FilePicker.pickFiles(
        allowMultiple: false,
        type: FileType.video,
      );
      if (selectedFile != null) {
        SensitivityAnalysisResult? isSensitive =
            await sca.analyzeVideo(url: selectedFile.files.first.path!);
        _showResultDialog(
            "Analysis Result", "SENSITIVE: ${isSensitive?.isSensitive}");
      }
    } catch (e) {
      _showResultDialog("Error", e.toString());
    }

Video Stream:

Note

Please refer to the video_stream_analyzer example.

Result

All analyze methods return a SensitivityAnalysisResult object:

class SensitivityAnalysisResult {
  final bool isSensitive;
  final List<String> detectedTypes; // Available on iOS 27.0+ / macOS 27.0+
}

• isSensitive — whether the content was flagged as sensitive
• detectedTypes — list of detected content categories, e.g. "sexuallyExplicit" or "goreOrViolence". Empty on devices running below iOS 27.0 / macOS 27.0.

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Caveats

Unlike with other ML models, the SensitiveContentAnalysis Framework:

• Does not return a list of probabilities.
• Does not allow additional training and finetuning.
• Is not open source.
• Only works with Apple devices. (iOS 17.0+, macOS 14.0+, Mac Catalyst 17.0+, iPadOS 17.0+)

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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.