[PAID] DigitalInk: Handwritten text recognizer and Gesture classifier ($10 or INR 651)

[vknow360 (Sunny Gupta)]

DigitalInk Extension

With DigitalInk recognition extension, you can recognize handwritten text and classify gestures on a digital surface (Canvas) in hundreds of languages, as well as classify sketches. The digital ink recognition uses the same technology that powers handwriting recognition in Gboard, Google Translate, and the Quick, Draw! game.

1. Overview

LatestVersion: 1
Released: 2024-04-17T18:30:00Z
Last Updated: 2024-04-17T18:30:00Z
Min SDK: 21
Permissions: ACCESS_NETWORK_STATE

Aix Size: 4.7mb (main extension) + 2.7mb (Kotlin library)

Key Features:

• Converts handwritten text to sequences of unicode characters
• Runs on the device in near real time
• The user’s handwriting stays on the device, recognition is performed without any network connection
• Supports 300+ languages and 25+ writing systems, see the complete list of supported languages
  • Supports gesture classification for these languages via -x-gesture extensions
• Recognizes emojis and basic shapes
• Keeps on-device storage low by dynamically downloading language packs as needed

2. Blocks

3. Documentation

Events

ModelDownloaded	Event raised when model is downloaded successfully
ModelDownloadFailed	Event raised when model downloading fails errorMsg | text
ModelStateRetrieved	Event raised after retrieving model state isDownloaded | boolean
GotDeleteModelResult	Event raised after getting 'DeleteModel' method's result. 'errorMsg' is empty if model was deleted successfully. deleted | boolean errorMsg | text
RecognizationSuccessful	Event raised when recognition was successful text | text
RecognizationFailed	Event raised when recognition failed errorMsg | text

Methods

RegisterCanvas	Register Canvas component from which handwritten text will be recognized canvas | component
ClearCanvas	Clear Canvas drawing. You must use this method instead of Clear method of Canvas component.
DownloadModel	Download specified language model langTag | text
CheckModelState	Checks whether model for specified language has been downloaded or not langTag | text
DeleteModel	Remove specified model from device. langTag | text
SetPreContext	Recognizer will use this pre-context to identify work breaks and differentiate between ambiguous letter context | text
Initialize	Initialize Recognizer for specified language langTag | text
Recognize	Process Canvas text for recognition

4. Example Usage

First register canvas component

Check language model state

You can list of languages and gestures tag here: Base models  |  ML Kit  |  Google for Developers

If model doesn’t exist then we’ll download it otherwise if it exists then we are good to go.

Download Model if not exists

each language model is of ~20mb

If model was downloaded successfully then we can initialize Recognizer

Now we can start recognition process

Draw and Clear canvas when needed

You must use ClearCanvas block of extension

Delete Language Model when not needed further

5. Samples and Demos

Gesture	Example
arch:above arch:below
caret:above caret:below
circle
corner:downleft
scribble
strike
verticalbar
writing

Demo Video

Digital Ink Extension Demo | AppInventor and Kodular

6. Inject Native libs to APK/AAB

You’ll get 4 native libs files:

but only arm64-v8a and armeabi-v7a are required to run apk on real devices.
Remaining two are required to run apk on Emulators.
The video given below demonstrates how to add these libs to apk:

Add native libraries to APK | DigitalInk Extension | AppInventor & Kodular

A simple app after injection becomes 15mb in size.

How to Sign Apk by @bodymindpower
How to build a big app → APK max. 100 MB or → AAB 150 MB

7. Purchase Extension

PayPal:

Pay Premwati Gupta using PayPal.Me

UPI:
vknow360@apl

Thank you.
Hope it helps!