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A Flutter plugin to use all APIs from Google's standalone ML Kit for mobile platforms.

Google's ML Kit for Flutter #

Pub Version

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

In versions 0.7.3 and earlier all features were included in a single plugin, but a lot of developers started to get issues with the size of their apps, because even though they only needed a single feature, the plugin included all the resources for the rest of the features, that increased the size of the app significantly.

Since version 0.8.0 we have split the plugin in multiple plugins to allow developers to use only what they need. google_ml_kit now is an umbrella plugin including all of the plugins. Start using or migrate to the new plugins to use only what you need. Go to each plugin to read about their requirements. If you find issues report and contribute with your pull requests.

Features #

Vision APIs #

FeaturePluginAndroidiOS
Barcode Scanninggoogle_mlkit_barcode_scanning
Face Detectiongoogle_mlkit_face_detection
Image Labelinggoogle_mlkit_image_labeling
Object Detection and Trackinggoogle_mlkit_object_detection
Text Recognitiongoogle_mlkit_text_recognition
Text Recognition V2google_mlkit_text_recognition
Digital Ink Recognitiongoogle_mlkit_digital_ink_recognition
Pose Detectiongoogle_mlkit_pose_detection
Selfie Segmentationgoogle_mlkit_selfie_segmentation

Natural Language APIs #

FeaturePluginAndroidiOS
Language Identificationgoogle_mlkit_language_id
On-Device Translationgoogle_mlkit_translation
Smart Replygoogle_mlkit_smart_reply
Entity Extractiongoogle_mlkit_entity_extraction

Getting Started #

Before you get started read about the requirements and known issues of this plugin here.

Go to the documentation of each plugin to learn how to use it.

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.