zap_scan 1.1.2

Flutter scanning package for cards, barcodes, and IATA boarding passes using on-device OCR and EMV NFC.

1.1.2

• Improve OCR accuracy for image upload flow

1.1.1

• WASM Compatibility: Removed all direct dart:io usage and replaced them with defaultTargetPlatform to support the new Dart WASM compiler on the Web.
• Official SPM Support: Added a Package.swift manifest and restructured the native code into a shared apple directory to provide first-class Swift Package Manager support for both iOS and macOS.
• Up-to-Date Dependencies: Bumped camera to ^0.12.0 and google_mlkit_commons to ^0.11.2 as recommended by pub.dev.
• Improved Native macOS Support: The Apple plugin now uses a shared codebase for iOS and macOS, enabling native OCR on macOS via the Vision framework when used directly.

1.1.0

• Full Multi-platform Support: Officially declared support for all 6 platforms (Android, iOS, Web, Windows, macOS, Linux).
• Unified Image Pipeline: Refactored scanFromImage to use XFile instead of File, enabling cross-platform image processing.
• Custom OCR Delegates: Introduced ocrDelegate and barcodeDelegate in UniversalScannerController to allow non-mobile platforms to plug in their own recognition engines.
• 100% Documentation Coverage: Added comprehensive DartDoc comments to all public classes, methods, and properties.
• Dependency Modernization: Bumped camera to ^0.11.0 and nfc_manager to ^4.1.1.
• iOS SPM Support: Updated podspec for Swift Package Manager compatibility and included the required Privacy Manifest.
• Linting: Enabled public_member_api_docs to ensure continued documentation quality.

1.0.3

• Lowered Android minSdkVersion from 30 to 21.

1.0.2

• Fixed broken repository and homepage links on pub.dev.

1.0.1

• Renamed package internal identifiers.
• Updated metadata with issue tracker and topics.

1.0.0

• Initial release of zap_scan.
• OCR for credit cards (supports horizontal, grid, and vertical layouts).
• IATA Boarding Pass parsing from Barcodes and OCR text.
• EMV NFC contactless card reading (Visa, Mastercard, Amex, RuPay).
• Support for image enhancement strategies to handle embossed/metallic cards.