A Flutter plugin that allows you to compress images easily and quickly.
Fast Image Compress can do much more (and we are just getting started)
- π± Supported platform. iOS, Android
- π§ͺ Batch processing. Support batch processing using batchSize
- πΌοΈ Supported image types jpeg, png and heic
- β± Parallelism. Support parallel image compression
The following bar graph demonstrates the efficiency of our plugin compared to two other existing packages. The comparison was conducted by compressing one image at a time for various image sizes, measuring the time taken in milliseconds (Y-axis) against the image size in MB (X-axis).
Below are the comparison graphs:
Android | iOS |
---|---|
This visual representation highlights the better performance of our plugin in terms of compression speed and efficiency across different image sizes.
- Add dependency to
pubspec.yaml
dependencies:
fast_image_compress: <latest_version>
or run this command:
flutter pub add fast_image_compress
- Import the package
import 'package:fast_image_compress/fast_image_compress.dart';
Use as:
There are several ways to use the library api.
// 1. Compress an image and get Uint8List
Future<Uint8List> compressImage(Uint8List imageData) async {
final compressedImage = await fastImageCompress.compressImage(
imageData: imageData,
quality: 60,
targetWidth: 400,
imageQuality: ImageQuality.low,
);
return compressedImage;
}
// 2. Compress list of images and get a list of Uint8List
Future<List<Uint8List>> compressMultipleImages(List<Uint8List> imageList) async {
final result = await fastImageCompress.compressImageList(
images: imageList,
quality: 30,
targetWidth: 800,
batchSize: 3,
imageQuality: ImageQuality.low,
);
return result;
}
// 3. Cancel the compression process
Future<void> _cancelCompression() async {
await fastImageCompress.cancelCompression();
}
Parameter Name | Data type | Default Value | Description |
---|---|---|---|
imageData | Uint8List | - | The image to be compressed |
quality | int | 60 | The compression quality percentage |
targetWidth | int? | null | The desired width for the compressed image |
imageQuality | ImageQuality | ImageQuality.medium | The quality of the image to store after compression |
Parameter Name | Data type | Default Value | Description |
---|---|---|---|
imageData | Uint8List | - | The image to be compressed |
quality | int | 60 | The compression quality percentage |
targetWidth | int? | null | The desired width for the compressed image |
imageQuality | ImageQuality | ImageQuality.medium | The quality of the image to store after compression |
batchSize | int | 3 | The number of images to process simultaneously in a batch |
The targetWidth
parameter allows you to resize the images to a specific width.
Use this parameter when you need all images to have a uniform width. It is particularly useful for optimizing image processing performance. Recommended to use this parameter when image size or image width is large.
The batchSize
parameter determines how many images are processed in a single batch.
- If the image sizes are large (greater than 50 MB), set batchSize to a smaller value to avoid memory issues.
- If the image sizes are small, you can set a higher value (e.g., 6) for better performance.
To dynamically adjust batchSize based on the number of CPU threads available on the device, you can use the following code:
final maxAvailableCPUThreads = Platform.numberOfProcessors;
final batchSize = maxAvailableCPUThreads > 0 ? maxAvailableCPUThreads ~/ 2 : 1;
The imageQuality
parameter controls the quality of the processed images. It has three predefined values:
- low
- medium (default)
- high
You may need to update Kotlin to version 1.5.20
or higher.
Using this library, the image orientation is maintained.
Only support iOS 11+.
Only support API 28+.
Note: Requires hardware encoder support, so availability is not guaranteed on all devices running API 28 or higher.
Rashi Shah |
MIT License
Copyright (c) 2021 Simform Solutions
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
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copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
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SOFTWARE.