ml_kit_ocr 0.0.3+1

This is a Plugin which provides native ML Kit Optical Character Recognition API.

MLKit OCR

Plugin which provides native ML Kit OCR APIs

Requirements

Android

• Set minSdkVersion 21 in android/app/build.gradle
• Set ext.kotlin_version = '1.6.10' in android/build.gradle
• Add <meta-data android:name="com.google.mlkit.vision.DEPENDENCIES" android:value="ocr" /> in android/src/main/AndroidManifest.xml
• Note: In case you are using multiple models separate them with commas android:value="ocr,ica"
• App size impact: 260KB, refer here

iOS

• Minimum iOS Deployment Target: 10.0
• Xcode 12.5.1 or greater.
• ML Kit only supports 64-bit architectures (x86_64 and arm64). Check this list to see if your device has the required device capabilities.
• Since ML Kit does not support 32-bit architectures (i386 and armv7) Read more, you need to exclude amrv7 architectures in Xcode in order to build iOS
• App size impact: About 20 MB, refer here

Usage

// Create an Instance of [MlKitOcr]
final ocr = MlKitOcr();

//...
// Pick Image using image picker
//...

// Call `processImage()` and pass params as `InputImage` [check example for more info]
final result = await ocr
    .processImage(InputImage.fromFilePath(image.path));
recognitions = '';

// Iterate over TextBlocks 
for (var blocks in result.blocks) {
    for (var lines in blocks.lines) {
        for (var words in lines.elements) {
            recognitions += words.text;
        }
    }
}

This plugin is basically a trimmed down version of google_ml_kit. As google_ml_kit contains all the NLP and Vison APIs, the App size increases drastically. So, I created this plugin and now the example app's fat apk is of 17MB and splitted apks are 6MB.