learning_digital_ink_recognition

Install package

flutter pub add learning_digital_ink_recognition

Package Overview

Package selection guidance compiled from public package information, community data, and project usage.

A Flutter package that simplifies integrating ML Kit's digital ink recognition into apps, enabling accurate handwriting and sketch interpretation. It provides a straightforward interface to process handwritten input from touch screens, making it ideal for note-taking, drawing, or signature capture features. The package supports both Android and iOS platforms, leveraging Google's machine learning capabilities without requiring deep knowledge of native SDKs.

Use cases

Handwritten note digitization
Signature verification
Sketch-to-text conversion
Educational apps with drawing input
Interactive whiteboard applications

Key features

Easy integration with ML Kit
Cross-platform support (Android & iOS)
Real-time ink recognition
Minimal setup required
Supports multiple languages

Suitable for

Developers building drawing or note-taking apps
Educational software creators
Apps requiring signature or handwriting processing
Teams using Flutter for mobile ML features

Considerations

Requires internet for initial model download
Limited to supported languages in ML Kit
Performance depends on device hardware
May need additional permissions for camera or storage access

Original README

Original README snapshot from the linked source repository. Visit the repository for the latest content.

Learning

The easy way to use Machine Learning Kit in Flutter.

Getting Started

Add dependency to your flutter project:

$ pub add learning

Optimization

For best performance (and to minimize application size), it's better to add dependency directly from each of sub-package you want to use in your application.

Usage

Learning consists of 13 different sub-packages that we can add separately based on our application needs. Please reference to each link below to learn more about the usage of each learning package.

Vision	Version	Links	Example
`learning_text_recognition`	^0.0.4	Pub.dev Github	Example text_recognition.apk
`learning_face_detection`	^0.0.3	Pub.dev Github	Example face_detection.apk
`learning_pose_detection`	^0.0.2	Pub.dev Github	Example pose_detection.apk
`learning_selfie_segmentation`	^0.0.3	Pub.dev Github	Example selfie_segmentation.apk
`learning_image_labeling`	^0.0.2	Pub.dev Github	Example image_labeling.apk
`learning_barcode_scanning`	^0.0.3	Pub.dev Github	Example barcode_scanning.apk
`learning_object_detection`	^0.0.2	Pub.dev Github	Example object_detection.apk
`learning_digital_ink_recognition`	^0.0.2	Pub.dev Github	Example digital_ink_recognition.apk

NLP	Version	Links	Example
`learning_language`	^0.0.4	Pub.dev Github	Example language.apk
`learning_translate`	^0.0.4	Pub.dev Github	Example translate.apk
`learning_entity_extraction`	^0.0.3	Pub.dev Github	Example entity_extraction.apk
`learning_smart_reply`	^0.0.3	Pub.dev Github	Example

Helper	Version	Links
`learning_input_image`	^0.0.6+2	Pub.dev Github

Example Project

You can learn more from example project here.

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