jpeg_turbo_resizer 0.2.0

A custom Flutter plugin for Windows that enables fast and efficient image resizing using the libjpeg-turbo library. This initial release focuses on resizing JPEG images with high performance. More fea [...]

JPEG Turbo Resizer Flutter Plugin

A custom Flutter plugin for Windows that enables fast and efficient image resizing using the libjpeg-turbo library. This plugin focuses on processing JPEG images with high performance.

Features

• Fast JPEG image resizing
• Windows platform support
• Simple API for easy integration
• User-friendly image selection and output specification

Supported File Types

This plugin uses libjpeg-turbo, which primarily supports JPEG file formats. Specifically, it can handle:

• JPEG (.jpg, .jpeg)
• JPEG 2000 (.jp2, .j2k) - read-only support
• JFIF (.jfif)

Note: While libjpeg-turbo can read some other formats like PPM, BMP, and TIFF, this plugin currently focuses on JPEG processing. Future updates may expand support for additional input formats.

Installation

Add this to your package's pubspec.yaml file:

dependencies:
  jpeg_turbo_resizer: ^0.0.1
  file_picker: ^5.2.10
  path_provider: ^2.0.15

Then run:

flutter pub get

Usage

Import the necessary packages in your Dart code:

import 'package:jpeg_turbo_resizer/jpeg_turbo_resizer.dart';
import 'package:file_picker/file_picker.dart';
import 'package:path_provider/path_provider.dart';

To resize a JPEG image:

JpegTurboResizer turboResizer = JpegTurboResizer();
final result = await turboResizer.resizeJpeg(
  inputPath,
  outputPath,
  300,  // Max resolution
);

if (result == 0) {
  print('Image resized successfully!');
} else {
  print('Error resizing image: $result');
}

Example

Here's an interactive widget that demonstrates how to use the plugin:

import 'dart:io';
import 'package:flutter/material.dart';
import 'package:jpeg_turbo_resizer/jpeg_turbo_resizer.dart';
import 'package:file_picker/file_picker.dart';
import 'package:path_provider/path_provider.dart';

class ResizeImageWidget extends StatefulWidget {
  @override
  _ResizeImageWidgetState createState() => _ResizeImageWidgetState();
}

class _ResizeImageWidgetState extends State<ResizeImageWidget> {
  String? _inputImagePath;
  String? _resizedImagePath;
  String _outputFileName = 'resized_image.jpg';
  final _formKey = GlobalKey<FormState>();

  Future<void> _pickImage() async {
    FilePickerResult? result = await FilePicker.platform.pickFiles(
      type: FileType.custom,
      allowedExtensions: ['jpg', 'jpeg', 'jp2', 'j2k', 'jfif'],
    );

    if (result != null) {
      setState(() {
        _inputImagePath = result.files.single.path;
      });
    }
  }

  Future<void> _resizeImage() async {
    if (_formKey.currentState!.validate() && _inputImagePath != null) {
      final directory = await getApplicationDocumentsDirectory();
      final outputPath = '${directory.path}/$_outputFileName';

      JpegTurboResizer turboResizer = JpegTurboResizer();
      final result = await turboResizer.resizeJpeg(
        _inputImagePath!,
        outputPath,
        300,  // Max resolution
      );

      if (result == 0) {
        setState(() {
          _resizedImagePath = outputPath;
        });
        ScaffoldMessenger.of(context).showSnackBar(
          SnackBar(content: Text('Image resized successfully!')),
        );
      } else {
        ScaffoldMessenger.of(context).showSnackBar(
          SnackBar(content: Text('Error resizing image: $result')),
        );
      }
    }
  }

  @override
  Widget build(BuildContext context) {
    // ... (rest of the widget build method remains the same)
  }
}

To use this widget, simply add it to your app's widget tree:

class MyApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      home: Scaffold(
        appBar: AppBar(title: Text('JPEG Turbo Resizer Example')),
        body: ResizeImageWidget(),
      ),
    );
  }
}

This example allows the user to:

1. Select an input JPEG image using a file picker.
2. Specify the output file name.
3. Resize the image and display the result.

Platform Support

Currently, this plugin only supports Windows. Future updates may include support for additional platforms.

Dependencies

This plugin requires the libjpeg-turbo library to be installed on the system. Make sure it's properly set up before using the plugin.

Additionally, this example uses the following Flutter packages:

• file_picker: For selecting input images.
• path_provider: For getting the application documents directory.

Make sure to add these dependencies to your pubspec.yaml file.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.