This plugin is also available as a template in ApparenceKit.

📸 Embedding a camera experience within your own app shouldn't be that hard.
A flutter plugin to integrate awesome Android / iOS camera experience.

If you are migrating from version 1.x.x to 2.x.x, please read the migration guide.

Here's all native features that cameraAwesome provides to the flutter side.

dependencies:
  camerawesome: ^2.0.0-dev.1
  ...

• iOS

Add these on ios/Runner/Info.plist:

<key>NSCameraUsageDescription</key>
<string>Your own description</string>

<key>NSMicrophoneUsageDescription</key>
<string>To enable microphone access when recording video</string>

<key>NSLocationWhenInUseUsageDescription</key>
<string>To enable GPS location access for Exif data</string>

• Android

Change the minimum SDK version to 21 (or higher) in android/app/build.gradle:

minSdkVersion 21

In order to be able to take pictures or record videos, you may need additional permissions depending on the Android version and where you want to save them. Read more about it in the official documentation.

WRITE_EXTERNAL_STORAGE is not included in the plugin starting with version 1.4.0.

If you want to record videos with audio, add this permission to your AndroidManifest.xml:

<manifest xmlns:android="http://schemas.android.com/apk/res/android"
        package="com.example.yourpackage">
  <uses-permission android:name="android.permission.RECORD_AUDIO" />

  <!-- Other declarations -->
</manifest>

You may also want to save location of your pictures in exif metadata. In this case, add below permissions:

<manifest xmlns:android="http://schemas.android.com/apk/res/android"
  package="com.example.yourpackage">
  <uses-permission android:name="android.permission.ACCESS_FINE_LOCATION" />
  <uses-permission android:name="android.permission.ACCESS_COARSE_LOCATION" />

  <!-- Other declarations -->
</manifest>

buildscript {
  ext.kotlin_version = '1.7.10'
  ext {
    // You can override these variables
    compileSdkVersion = 33
    minSdkVersion = 24 // 21 minimum
    playServicesLocationVersion = "20.0.0"
    exifInterfaceVersion = "1.3.4"
  }
  // ...
}

java.lang.IncompatibleClassChangeError: Found interface com.google.android.gms.location.ActivityRecognitionClient, but class was expected

import 'package:camerawesome/camerawesome_plugin.dart';

Just use our builder.
That's all you need to create a complete camera experience within your app.

CameraAwesomeBuilder.awesome(
  saveConfig: SaveConfig.photoAndVideo(),
  onMediaTap: (mediaCapture) {
    OpenFile.open(mediaCapture.filePath);
  },
),

This builder can be customized with various settings:

• A theme.
• Builders for each part of the screen.
• Initial camera setup.
• Preview positioning.
• Additional preview decoration.
• And much more!

Here is an example:

Check the full documentation to learn more.

If the awesome() factory is not enough, you can use custom() instead.

It provides a builder property that lets you create your own camera experience.

The camera preview will be visible behind what you will provide to the builder.

CameraAwesomeBuilder.custom(
  saveConfig: SaveConfig.photo(),
  builder: (state, previewSize, previewRect) {
    // create your interface here
  },
)

See more in documentation

Here is the definition of our builder method.

typedef CameraLayoutBuilder = Widget Function(CameraState cameraState, PreviewSize previewSize, Rect previewRect);

Using the state you can do anything you need without having to think about the camera flow

• On app start we are in PreparingCameraState
  
• Then depending on the initialCaptureMode you set you will be PhotoCameraState or VideoCameraState
  
• Starting a video will push a VideoRecordingCameraState
  
• Stopping the video will push back the VideoCameraState
  
  Also if you want to use some specific function you can use the when method so you can write like this.
  

state.when(
  onPhotoMode: (photoState) => photoState.start(),
  onVideoMode: (videoState) => videoState.start(),
  onVideoRecordingMode: (videoState) => videoState.pause(),
);

See more in documentation

Using the onMediaCaptureEvent you can listen to any media capture event and do whatever you want with it.

onMediaCaptureEvent: (event) {
    switch ((event.status, event.isPicture, event.isVideo)) {
        case (MediaCaptureStatus.capturing, true, false):
            debugPrint('Capturing picture...');
        case (MediaCaptureStatus.success, true, false):
            event.captureRequest.when(
                single: (single) {
                debugPrint('Picture saved: ${single.file?.path}');
                },
                multiple: (multiple) {
                multiple.fileBySensor.forEach((key, value) {
                    debugPrint('multiple image taken: $key ${value?.path}');
                });
                },
            );
        case (MediaCaptureStatus.failure, true, false):
            debugPrint('Failed to capture picture: ${event.exception}');
        case (MediaCaptureStatus.capturing, false, true):
            debugPrint('Capturing video...');
        case (MediaCaptureStatus.success, false, true):
            event.captureRequest.when(
                single: (single) {
                    debugPrint('Video saved: ${single.file?.path}');
                },
                multiple: (multiple) {
                    multiple.fileBySensor.forEach((key, value) {
                        debugPrint('multiple video taken: $key ${value?.path}');
                    });
                },
            );
        case (MediaCaptureStatus.failure, false, true):
            debugPrint('Failed to capture video: ${event.exception}');
        default:
            debugPrint('Unknown event: $event');
    }
},

Use this to achieve:

• QR-Code scanning.
• Facial recognition.
• AI object detection.
• Realtime video chats.
• And much more 🤩

You can check examples using MLKit inside the example directory. The above example is from ai_analysis_faces.dart. It detects faces and draw their contours.

It's also possible to use MLKit to read barcodes:

Check ai_analysis_barcode.dart and preview_overlay_example.dart for examples or the documentation.

CameraAwesomeBuilder.awesome(
  saveConfig: SaveConfig.photo(),
  onImageForAnalysis: analyzeImage,
  imageAnalysisConfig: AnalysisConfig(
        // Android specific options
        androidOptions: const AndroidAnalysisOptions.nv21(
            // Target width (CameraX will chose the closest resolution to this width)
            width: 250,
        ),
        // Wether to start automatically the analysis (true by default)
        autoStart: true,
        // Max frames per second, null for no limit (default)
        maxFramesPerSecond: 20,
    ),
)

MLkit recommends using nv21 format for Android.
bgra8888 is the iOS format For machine learning you don't need full-resolution images (720 or lower should be enough and makes computation easier)

Learn more about the image analysis configuration in the documentation .

Check also detailed explanations on how to use MLKit to read barcodes and detect faces.

⚠️ On Android, some devices don't support video recording and image analysis at the same time.

• If they don't, image analysis will be ignored.
• You can check if a device has this capability by using CameraCharacteristics .isVideoRecordingAndImageAnalysisSupported(Sensors.back).

Through state you can access to a SensorConfig class.

All of these configurations are listenable through a stream so your UI can automatically get updated according to the actual configuration.

Apply live filters to your pictures using the built-in interface:

You can also choose to use a specific filter from the start:

CameraAwesomeBuilder.awesome(
  // other params
  filter: AwesomeFilter.AddictiveRed,
  availableFilters: ...
)

Or set the filter programmatically:

CameraAwesomeBuilder.custom(
  builder: (cameraState, previewSize, previewRect) {
    return cameraState.when(
      onPreparingCamera: (state) =>
      const Center(child: CircularProgressIndicator()),
      onPhotoMode: (state) =>
          TakePhotoUI(state, onFilterTap: () {
            state.setFilter(AwesomeFilter.Sierra);
          }),
      onVideoMode: (state) => RecordVideoUI(state, recording: false),
      onVideoRecordingMode: (state) =>
          RecordVideoUI(state, recording: true),
    );
  },
)

See all available filters in the documentation.

[!TIP] By default the awesome ui setup has a filter list but you can pass an empty list to remove it

🚧 Feature in beta 🚧 Any feedback is welcome!

In order to start using CamerAwesome with multiple cameras simulatenously, you need to define a SensorConfig that uses several sensors. You can use the SensorConfig.multiple() constructor for this:

CameraAwesomeBuilder.awesome(
    sensorConfig: SensorConfig.multiple(
        sensors: [
            Sensor.position(SensorPosition.back),
            Sensor.position(SensorPosition.front),
        ],
        flashMode: FlashMode.auto,
        aspectRatio: CameraAspectRatios.ratio_16_9,
    ),
    // Other params
)

This feature is not supported by all devices and even when it is, there are limitations that you must be aware of.

Check the details in the dedicated documentation.