flutter_doc_scanner 0.0.19
flutter_doc_scanner: ^0.0.19 copied to clipboard
A Flutter plugin for document scanning on Android and iOS using ML Kit Document Scanner API and VisionKit.
0.0.19 #
- Added
useAutomaticSinglePictureProcessingflag to enable a fast single-picture scanning mode optimized for quick one-document captures. - Implemented platform-specific optimizations (iOS custom auto-scan flow, Android fastest GMS mode) while preserving existing behavior by default.
0.0.18 #
-Added typed models, structured errors, image format/quality control (iOS), validation, permission checks, tests, and dependency cleanup. -Fixed Android 15 crashes, lifecycle/thread issues, memory leaks, file/PDF failures, deprecated APIs, and major production bugs.
0.0.17 #
- Updated ML Kit Document Scanner to v16.0.0 with safer scanning, better errors, and URI payload support.
- Modernized Android stack (AGP 8.6, Kotlin 2.0.21, Gradle 8.7, Java/Kotlin 17, minSdk 21).
- Synced Flutter defaults/tests, improved platform errors, added web stubs, and fixed example app.
0.0.16 #
- Migrated to Flutter 3.29 and fixed error handling in onActivityResult.
0.0.15 #
- Added support for image format and PDF in different methods.
0.0.14 #
- Default page limit set.
0.0.13 #
- Added functionality to set a scan page limit.
0.0.12 #
- Fixed minor bugs.
0.0.11 #
- Temporarily removed web support.
- Fixed minor bugs.
0.0.10 #
- Added Web Support.
0.0.9 #
- Updated the library to Flutter 3.5.4.
0.0.8 #
- Fixed minor bugs.
0.0.7 #
- Updated Android request code to resolve conflicts with other libraries.
0.0.6 #
- Fixed Android minor bugs.
0.0.5 #
- Fixed Ios major bugs.
0.0.4 #
- Fixed Android bugs.
0.0.3 #
- Added support for retrieving document files from a URI.
0.0.2 #
- Added support for retrieving document files from a URI.
0.0.1 #
- Initial release of the
flutter_doc_scannerplugin. - Added support for document scanning on Android using ML Kit Document Scanner API.
- Added support for document scanning on iOS using VisionKit.
- Implemented functionality for high-quality document detection, cropping, and processing.
- Supported output formats include PDF.