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//image：要识别的图片
public static string OCR_Custom(Image image)
{
    //string url = "";
    //string poststr ="";
    //string result =CustomHelp.HttpPost(url,poststr);
    //获取请求获取解析结果后按照下面格式进行解析
    TxtFormat.Root jsonRoot=new TxtFormat.Root();
    jsonRoot.result=new List<TxtFormat.TextBlock>();
    jsonRoot.isHasLocation=true;//判断是否含有坐标返回
    for(int i=0; i<5; i++)//遍历返回的json字符串
    {
        TxtFormat.TextBlock textBlock = new TxtFormat.TextBlock();
        textBlock.Text = "公式测试文本"+i.ToString();//json内的文本
        textBlock.TopLeft = new Point(0,0);//左上角坐标
        textBlock.TopRight = new Point(0,0);//右上角坐标
        textBlock.BottomRight =new Point(0,0);//右下角坐标
        textBlock.BottomLeft =new Point(0,0);//左下角坐标
        jsonRoot.result.Add(textBlock);
    }
    string json = JsonConvert.SerializeObject(jsonRoot);
    return json;
}

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var img = image_screen;
				var inArray = OcrHelper.ImgToBytes(img);
				var s = "{\t\"formats\": [\"latex_styled\", \"text\"],\t\"metadata\": {\t\t\"count\": 0,\t\t\"platform\": \"windows 10\",\t\t\"skip_recrop\": true,\t\t\"user_id\": \"\",\t\t\"version\": \"snip.windows@01.02.0027\"\t},\t\"ocr\": [\"text\", \"math\"],\t\"src\": \"data:image/jpeg;base64," + Convert.ToBase64String(inArray) + "\"}";
				var bytes = Encoding.UTF8.GetBytes(s);
				var httpWebRequest = (HttpWebRequest)WebRequest.Create("https://api.mathpix.com/v3/latex");
				httpWebRequest.Method = "POST";
				httpWebRequest.ContentType = "application/json";
				httpWebRequest.Timeout = 8000;
				httpWebRequest.ReadWriteTimeout = 5000;
				httpWebRequest.Headers.Add("app_id: mathpix_chrome");
				httpWebRequest.Headers.Add("app_key: 85948264c5d443573286752fbe8df361");
				using (var requestStream = httpWebRequest.GetRequestStream())
				{
					requestStream.Write(bytes, 0, bytes.Length);
				}
				var responseStream = ((HttpWebResponse)httpWebRequest.GetResponse()).GetResponseStream();
				var value = new StreamReader(responseStream, Encoding.GetEncoding("utf-8")).ReadToEnd();
				responseStream.Close();
				var text = "$" + ((JObject)JsonConvert.DeserializeObject(value))["latex_styled"] + "$";
				split_txt = text;
				typeset_txt = text;

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import requests
api_url="https://server.simpletex.cn/api/latex_ocr/v2"  # 接口地址
data = { } # 请求数据
header={ "token": "" } # 鉴权信息，此处使用UAT方式
file=[("file",("test.png",open("test.png", 'rb')))] # 请求文件,字段名一般为file
res = requests.post(api_url, files=file, data=data, headers=header) # 使用requests库上传文件
print(res.status_code)
print(res.text)

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{
 "status": true/false, // 是否成功调用接口
 "res": { // 调用结果
     ...
 },
 "request_id": "tr_xxxxxxxxxx" // 请求ID
}

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MessageBox.Show(responseContent.ToString() );

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// 来自 https://blog.csdn.net/flymorn/article/details/6769722
Content-Type: multipart/form-data; boundary=AaB03x
 
 --AaB03x
 Content-Disposition: form-data; name="submit-name"
 
 Larry
 --AaB03x
 Content-Disposition: form-data; name="file"; filename="file1.dat"
 Content-Type: application/octet-stream
 
 ... contents of file1.dat ...
 --AaB03x--

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	public static string OCR_Custom(Image image)
	{// Image 是一个类，它是用于处理图像和图形的基本类之一。
	    byte[] result;
	    using (var memoryStream = new MemoryStream())
	    {
	        image.Save(memoryStream, ImageFormat.Png);
	        result = memoryStream.ToArray();
	    }
	    // request
	    string url = "https://server.simpletex.cn/api/latex_ocr/v2";
	    HttpWebRequest request = (HttpWebRequest)WebRequest.Create(url);
	    request.ContentType = "multipart/form-data;boundary=---------------------------boundary";
	    request.Method = "POST";
	    request.Headers["token"] = "";
	    string boundary = "---------------------------boundary";
	    byte[] boundaryBytes = Encoding.UTF8.GetBytes("\r\n--" + boundary + "\r\n");
	    string formDataTemplate = "--{0}\r\nContent-Type:application/octet-stream\r\nContent-Disposition: form-data; name=\"file\"; filename=\"image.png\"\r\nContent-Type: image/png\r\n\r\n";
	    string formData = string.Format(formDataTemplate, boundary);
	    byte[] formDataBytes = Encoding.UTF8.GetBytes(formData);
	    // 设置请求体长度
	    request.ContentLength = formDataBytes.Length + result.Length + boundaryBytes.Length;
	    // 将请求体数据写入请求流中
	    using (Stream requestStream = request.GetRequestStream())
	    {
	        requestStream.Write(formDataBytes, 0, formDataBytes.Length);
	        requestStream.Write(result, 0, result.Length);
	        requestStream.Write(boundaryBytes, 0, boundaryBytes.Length);
	    }
	    // 发送请求并获取响应
	    HttpWebResponse response = (HttpWebResponse)request.GetResponse();
	    // 处理响应
	    string responseContent;
	    using (StreamReader reader = new StreamReader(response.GetResponseStream()))
	    {
	        responseContent = reader.ReadToEnd();
	        // Console.WriteLine(responseContent);
	    }
	    response.Close();
	    var resultData = ((JObject)JsonConvert.DeserializeObject(responseContent));
	    var data = resultData["res"];
	    var region = data["latex"];
	    var text = "$" +region.ToString() + "$";
	    TxtFormat.Root jsonRoot=new TxtFormat.Root ();
	    jsonRoot.result=new List<TxtFormat.TextBlock>();
	    jsonRoot.isHasLocation=true;// 判断是否含有坐标返回
	    TxtFormat.TextBlock textBlock = new TxtFormat.TextBlock ();
	    textBlock.Text = text;//json 内的文本
	    textBlock.TopLeft = new Point (0,0);// 左上角坐标
	    textBlock.TopRight = new Point (0,0);// 右上角坐标
	    textBlock.BottomRight =new Point (0,0);// 右下角坐标
	    textBlock.BottomLeft =new Point (0,0);// 左下角坐标
	    jsonRoot.result.Add (textBlock);
        // `SerializeObject(object value)`：将对象序列化为 **JSON 字符串**。
	    return JsonConvert.SerializeObject (jsonRoot);
	}