flutter_ocr_native 0.0.6

A Flutter plugin for extracting text from images using native on-device OCR. Android uses ML Kit, iOS uses Apple Vision. Supports Aadhaar masking, handwriting detection, and English-only text extraction.

0.0.6

• Lowered SDK constraint to >=3.2.4 <4.0.0 (Flutter 3.19.0+) for broader compatibility
• Fixed Color.toARGB32() not available on older Dart versions — replaced with version-safe _colorToArgb() helper using .a/.r/.g/.b float API
• Zero deprecation warnings on all Dart 3.x versions (3.2.4 through 3.11+)

0.0.5

• Updated README with complete usage documentation for all features
• Added examples for Basic OCR, Validation & Aadhaar Masking, Document Viewer, Download with Watermark, Custom Validator, and Runtime Toggle
• Added full architecture tree in README covering all source files
• Added Supported Platforms table and Flutter Compatibility section
• Updated Getting Started version to ^0.0.4

0.0.4

• Fixed watermark not appearing in downloaded images
• Moved watermark rendering from dart:ui Canvas to native platform (Android Canvas / iOS CoreGraphics) for reliable text rendering
• Added burnWatermark native method channel — watermark is now burned into images on the native side
• Auto-scaled watermark font size to 3% of image width (minimum 36px) — always readable regardless of image resolution
• Bold watermark text with 1.5x line height for better readability
• Added downloadBytes() method to OcrDocumentSaver for saving raw bytes directly
• Added path_provider as plugin dependency — platform-specific download paths handled internally
• Removed path_provider dependency from example app — package handles it
• Simplified OcrDocumentViewer save — uses native burnWatermark instead of unreliable RepaintBoundary capture

0.0.3

• Added OcrWatermark model — configurable watermark with key-value lines (Lead ID, Lat, Long, Agent, Date, etc.), customizable text color, background color, font size, and padding
• Added OcrDocumentViewer widget — full-screen document viewer with pinch-to-zoom (0.5x–5x), watermark overlay below image, configurable save button, and OcrDocumentViewer.show() for one-liner navigation
• Added OcrDocumentSaver utility — saves masked/original image to file with watermark burned into the image using Canvas, supports save from file path or raw bytes
• Viewer save captures the watermark in the exported image via RepaintBoundary
• Updated example app with View and Download buttons using the new package utilities

0.0.2

• Renamed package from ocr to flutter_ocr_native
• Lowered SDK constraint to support Flutter 3.27.1+
• Fixed Aadhaar image masking for different card positions and orientations
• Improved handwriting detection using ML Kit confidence signals
• Added maskedImageBytes — image with Aadhaar digits blacked out
• Added hasAadhaar getter on OcrResult

0.0.1

• Initial release
• On-device OCR using ML Kit (Android) and Vision framework (iOS)
• English-only text extraction — non-Latin scripts auto-filtered
• Structured results: blocks → lines → elements with bounding boxes & confidence
• Aadhaar number masking (text + image) — configurable
• Handwriting detection — rejects non-printed documents
• Empty/blank image detection