Google's ML Kit for Flutter

Pub Version analysis Star on Github License: MIT

Google's ML Kit for Flutter is a set of Flutter plugins that enable Flutter apps to use Google's standalone ML Kit.

google_ml_kit is an umbrella plugin that includes all the features listed below, it groups all the plugins under a single one. By using google_ml_kit you will include all the plugins listed below and their respective dependencies, therefore significantly increasing the size of your app. We recommend instead to add only the plugin for the feature you want to consume rather than including google_ml_kit in your yaml.

DO NOT USE google_ml_kit in a production app instead use only the plugin(s) for the features listed bellow.

Go to each plugin listed bellow to read about their documentation and requirements. If you find issues report and contribute with your pull requests.

Features

Vision APIs

Feature Plugin Android iOS
Barcode Scanning google_mlkit_barcode_scanning Pub Version ✅ ✅
Face Detection google_mlkit_face_detection Pub Version ✅ ✅
Face Mesh Detection google_mlkit_face_mesh_detection Pub Version ✅ ❌
Text Recognition V2 google_mlkit_text_recognition Pub Version ✅ ✅
Image Labeling google_mlkit_image_labeling Pub Version ✅ ✅
Object Detection and Tracking google_mlkit_object_detection Pub Version ✅ ✅
Digital Ink Recognition google_mlkit_digital_ink_recognition Pub Version ✅ ✅
Pose Detection google_mlkit_pose_detection Pub Version ✅ ✅
Selfie Segmentation google_mlkit_selfie_segmentation Pub Version ✅ ✅
Subject Segmentation google_mlkit_subject_segemtation Pub Version ❌ ❌
Document Scanner google_mlkit_document_scanner Pub Version ✅ ❌

Natural Language APIs

Feature Plugin Android iOS
Language Identification google_mlkit_language_id Pub Version ✅ ✅
On-Device Translation google_mlkit_translation Pub Version ✅ ✅
Smart Reply google_mlkit_smart_reply Pub Version ✅ ✅
Entity Extraction google_mlkit_entity_extraction Pub Version ✅ ✅

Requirements

iOS

  • Minimum iOS Deployment Target: 12.0
  • Xcode 15 or newer
  • Swift 5
  • ML Kit does not support 32-bit architectures (i386 and armv7). ML Kit does support 64-bit architectures (x86_64 and arm64). Check this list to see if your device has the required device capabilities. More info here.

Since ML Kit does not support 32-bit architectures (i386 and armv7), you need to exclude armv7 architectures in Xcode in order to run flutter build ios or flutter build ipa. More info here.

Go to Project > Runner > Building Settings > Excluded Architectures > Any SDK > armv7

Your Podfile should look like this:

platform :ios, '15.5'  # or newer version

...

# add this line:
$iOSVersion = '12.0'  # or newer version

post_install do |installer|
  # add these lines:
  installer.pods_project.build_configurations.each do |config|
    config.build_settings["EXCLUDED_ARCHS[sdk=*]"] = "armv7"
    config.build_settings['IPHONEOS_DEPLOYMENT_TARGET'] = $iOSVersion
  end
  
  installer.pods_project.targets.each do |target|
    flutter_additional_ios_build_settings(target)
    
    # add these lines:
    target.build_configurations.each do |config|
      if Gem::Version.new($iOSVersion) > Gem::Version.new(config.build_settings['IPHONEOS_DEPLOYMENT_TARGET'])
        config.build_settings['IPHONEOS_DEPLOYMENT_TARGET'] = $iOSVersion
      end
    end
    
  end
end

Notice that the minimum IPHONEOS_DEPLOYMENT_TARGET is 12.0, you can set it to something newer but not older.

Android

  • minSdkVersion: 21
  • targetSdkVersion: 33
  • compileSdkVersion: 34

Example app

Find the example app here.

Contributing

Contributions are welcome. In case of any problems look at existing issues, if you cannot find anything related to your problem then open an issue. Create an issue before opening a pull request for non trivial fixes. In case of trivial fixes open a pull request directly.

Libraries

google_ml_kit