react-native-vision-camera/docs/docs/guides/FRAME_PROCESSOR_CREATE_PLUGIN_IOS.mdx

---
id: frame-processors-plugins-ios
title: Creating Frame Processor Plugins
sidebar_label: Creating Frame Processor Plugins (iOS)
---

import Tabs from '@theme/Tabs'
import TabItem from '@theme/TabItem'

## Creating a Frame Processor Plugin for iOS

The Frame Processor Plugin API is built to be as extensible as possible, which allows you to create custom Frame Processor Plugins.
In this guide we will create a custom Face Detector Plugin which can be used from JS.

iOS Frame Processor Plugins can be written in either **Objective-C** or **Swift**.

### Automatic setup

Run [Vision Camera Plugin Builder CLI](https://github.com/mateusz1913/vision-camera-plugin-builder),

```sh
npx vision-camera-plugin-builder@latest ios
```

:::info
The CLI will ask you for the path to project's .xcodeproj file, name of the plugin (e.g. `FaceDetectorFrameProcessorPlugin`), name of the exposed method (e.g. `detectFaces`) and language you want to use for plugin development (Objective-C, Objective-C++ or Swift).
For reference see the [CLI's docs](https://github.com/mateusz1913/vision-camera-plugin-builder#%EF%B8%8F-options).
:::

### Manual setup

<Tabs
  defaultValue="objc"
  values={[
    {label: 'Objective-C', value: 'objc'},
    {label: 'Swift', value: 'swift'}
  ]}>
<TabItem value="objc">

1. Open your Project in Xcode
2. Create an Objective-C source file, for the Face Detector Plugin this will be called `FaceDetectorFrameProcessorPlugin.m`.
3. Add the following code:

```objc
#import <VisionCamera/FrameProcessorPlugin.h>
#import <VisionCamera/FrameProcessorPluginRegistry.h>
#import <VisionCamera/Frame.h>

@interface FaceDetectorFrameProcessorPlugin : FrameProcessorPlugin
@end

@implementation FaceDetectorFrameProcessorPlugin

- (instancetype) initWithProxy:(VisionCameraProxyHolder*)proxy
                   withOptions:(NSDictionary* _Nullable)options {
  self = [super initWithProxy:proxy options:options];
  return self;
}

- (id)callback:(Frame*)frame withArguments:(NSDictionary*)arguments {
  CMSampleBufferRef buffer = frame.buffer;
  UIImageOrientation orientation = frame.orientation;
  // code goes here
  return nil;
}

// highlight-start
VISION_EXPORT_FRAME_PROCESSOR(FaceDetectorFrameProcessorPlugin, detectFaces)
// highlight-end

@end
```

:::note
The Frame Processor Plugin will be exposed to JS through the `VisionCameraProxy` object. In this case, it would be `VisionCameraProxy.initFrameProcessorPlugin("detectFaces")`.
:::

4. **Implement your Frame Processing.** See the [Example Plugin (Objective-C)](https://github.com/mrousavy/react-native-vision-camera/blob/main/package/example/ios/Frame%20Processor%20Plugins/Example%20Plugin/ExampleFrameProcessorPlugin.m) for reference.

</TabItem>
<TabItem value="swift">

1. Open your Project in Xcode
2. Create a Swift file, for the Face Detector Plugin this will be `FaceDetectorFrameProcessorPlugin.swift`. If Xcode asks you to create a Bridging Header, press **create**.

![Xcode "Create Bridging Header" alert](https://docs-assets.developer.apple.com/published/7ebca7212c/2a065d1a-7e53-4907-a889-b7fa4f2206c9.png)

3. In the Swift file, add the following code:

```swift
import VisionCamera

@objc(FaceDetectorFrameProcessorPlugin)
public class FaceDetectorFrameProcessorPlugin: FrameProcessorPlugin {
  public override init(proxy: VisionCameraProxyHolder, options: [AnyHashable : Any]! = [:]) {
    super.init(proxy: proxy, options: options)
  }

  public override func callback(_ frame: Frame, withArguments arguments: [AnyHashable : Any]?) -> Any {
    let buffer = frame.buffer
    let orientation = frame.orientation
    // code goes here
    return nil
  }
}
```

4. Create an Objective-C source file that will be used to automatically register your plugin

```objc
#import <VisionCamera/FrameProcessorPlugin.h>
#import <VisionCamera/FrameProcessorPluginRegistry.h>

#import "YOUR_XCODE_PROJECT_NAME-Swift.h" // <--- replace "YOUR_XCODE_PROJECT_NAME" with the actual value of your xcode project name

// highlight-start
VISION_EXPORT_SWIFT_FRAME_PROCESSOR(FaceDetectorFrameProcessorPlugin, detectFaces)
// highlight-end
```

5. **Implement your frame processing.** See [Example Plugin (Swift)](https://github.com/mrousavy/react-native-vision-camera/blob/main/package/example/ios/Frame%20Processor%20Plugins/Example%20Swift%20Plugin/ExampleSwiftFrameProcessor.swift) for reference.


</TabItem>
</Tabs>

<br />

#### 🚀 Next section: [Finish creating your Frame Processor Plugin](frame-processors-plugins-final) (or [add Android support to your Frame Processor Plugin](frame-processors-plugins-android))