detect text in imported video file in swift

To detect text in an imported video file in Swift, you can use the AVFoundation framework, which provides classes for working with audiovisual media. Specifically, you can use the AVAsset, AVAssetTrack, AVAssetReader, and AVAssetReaderOutput classes to read frames from the video and process them to detect text.

Here is an example code snippet to get started:


main.swift
import AVFoundation
import Vision

func detectText(inVideoAt url: URL) {
    // Create an AVAsset instance from the video URL
    let asset = AVURLAsset(url: url)
    
    // Get the video track (assuming only one video track exists in the video)
    guard let videoTrack = asset.tracks(withMediaType: .video).first else { return }
    
    // Create an AVAssetReader instance to read the frames of the video
    let reader = try! AVAssetReader(asset: asset)
    let output = AVAssetReaderTrackOutput(track: videoTrack, outputSettings: nil)
    reader.add(output)
    reader.startReading()
    
    // Process each frame to detect text
    while reader.status == .reading {
        guard let sampleBuffer = output.copyNextSampleBuffer() else { continue }
        
        // Convert the sample buffer to a UIImage
        let image = UIImage(sampleBuffer: sampleBuffer)
        
        // Create a VNDetectTextRectanglesRequest to detect text in the image
        let request = VNDetectTextRectanglesRequest()
        let handler = VNImageRequestHandler(cgImage: image.cgImage!, options: [:])
        try! handler.perform([request])
        guard let observations = request.results as? [VNTextObservation] else { continue }
        
        // Process the detected text
        for observation in observations {
            let text = observation.string
            let boundingBox = observation.boundingBox
            
            // Do something with the text and bounding box
            print("Detected text: \(text), bounding box: \(boundingBox)")
        }
        
        // Release the sample buffer
        CMSampleBufferInvalidate(sampleBuffer)
        CFRelease(sampleBuffer)
    }
    
    // Release the reader and output
    reader.cancelReading()
    reader.remove(output)
}
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In this code, we use the AVURLAsset class to create an instance of the video file from its URL. We then obtain the video track from the asset and use it to create an AVAssetReader instance, which reads frames of the video.

For each frame, we convert it to a UIImage object and use a VNDetectTextRectanglesRequest to detect text in the image. We then loop through the detected text observations and do something with the text and bounding box.

Note that this code is just a starting point and you may need to customize it depending on your specific requirements. For example, you might want to adjust the image resolution or quality, or fine-tune the text detection parameters.

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