1.添加Vision Kit依赖

在项目设置中点击"General"选项卡，然后在"Frameworks, Libraries, and Embedded Content"（框架、库和嵌入内容）部分，点击"+"按钮。搜索并选择"Vision.framework"。

2.代码实现

import Visionfunc recognizeText (image: CGImage){ let request = VNRecognizeTextRequest { (request , error) in if let results = request.results as ?[VNRecognizedTextObservation]{//处理识别结果 let recognizedStrings = results.compactMap { observation in return observation.topCandidates(1).first?.string } print ("识别结果：\(recognizedStrings)") self.result.text = recognizedStrings.joined (separator:"\n")}}//设置最小置信度来过滤结果 request.minimumTextHeight =1 //精确识别，fast则为快速识别request.recognitionLevel =.accurate//创建图片请求处理器 let requestHandler = VNImageRequestHandler(cgImage: image , options :[:])//执行请求 do { try requestHandler.perform ([request])} catch {print ("文字识别失败：\(error)")}
}

3.识别结果

速度很快，但亲测识别准确率有限。部分识别文字错误。

提高中文识别成功率，可以设置

request.recognitionLanguages = ["zh-Hans"]