{

"a":1

}

public class Test
    {
        public int aa{get;set;}
    }

{
  "refresh_token": "25.ea2f85ebd48df85fe5400000.18640.282335-15533349",
  "expires_in": 2592010,
  "session_key": "9mzdWr3n8ncMeDgX8zjhkhlW8khb5cdZtPevPbPwQGBg==",
  "access_token": "24.ac0ca9fakhlkyhl552017858.282335-15533349",
  "scope": "audio_voice_assistant_get audio_tts_post public vis-ocr_ocr nlp_simnet nlp_wclassify_watermark brain_ocr_scope vis-classify_car brain_gif_antiporn brain_ocr_general brain_ocr_general_basic brain_ocr_generer vis-classify_animal brain_politician brain_unit_utterance brain_imgquality_general brain_nlp_simnet brain_nlp_depparser vis-classify_plant brain_solution brain_ocr_plate_number brain_nlp_wordembedding brain_nlp_dnnlm_cn_legacy brain_nlp_simnet_legacy brain_nlp_commain_animal_classify brain_plant_classify brain_solution_iocr brain_realtime_product brain_nlp_lexer_custom brain_kgbody_analysis brain_body_attr brain_ocr_vat_invoice brain_advanced_general_classify brain_numbers brain_body_number vis-faceverify_FACE_auth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi",
  "session_secret": "2ca66d464545c77a4767f709873be4"
}

    public class AccessTokenModel
    {
        public string refresh_token { get; set; }
        public string expires_in { get; set; }//： Access Token的有效期(秒为单位，一般为1个月)
        public string scope { get; set; }
        public string session_key { get; set; }
        public string access_token { get; set; }//： 要获取的Access Token
        public string session_secret { get; set; }
    }

            public static void Main(string[] args)
            {
                FileStream fs = new FileStream(@"请修改成你的文件路径\json1.json", FileMode.Open);
                StreamReader fileStream = new StreamReader(fs);
                string str = "";
                string line;
                while ((line = fileStream.ReadLine()) != null)
                {
                    str += line;
                }　　　　　　　　　　//上面的代码没有意义，只是将Json文件的内容加载到字符串中　　　　　　　　　　
                JObject jObject = new JObject();　　　　　　　　//新建 操作对象
                AccessTokenModel a = JsonConvert.DeserializeObject<AccessTokenModel>(str);

                Console.WriteLine(a.access_token);　　　　//随意输出一个属性
                Console.ReadKey();
            }

[{
  "refresh_token": "25.ea2f85ebd48df85fe5400000.18640.282335-15533349",
  "expires_in": 2592010,
  "session_key": "9mzdWr3n8ncMeDgX8zjhkhlW8khb5cdZtPevPbPwQGBg==",
  "access_token": "24.ac0ca9fakhlkyhl552017858.282335-15533349",
  "scope": "audio_voice_assistant_get audio_tts_post public vis-ocr_ocr nlp_simnet nlp_wclassify_watermark brain_ocr_scope vis-classify_car brain_gif_antiporn brain_ocr_general brain_ocr_general_basic brain_ocr_generer vis-classify_animal brain_politician brain_unit_utterance brain_imgquality_general brain_nlp_simnet brain_nlp_depparser vis-classify_plant brain_solution brain_ocr_plate_number brain_nlp_wordembedding brain_nlp_dnnlm_cn_legacy brain_nlp_simnet_legacy brain_nlp_commain_animal_classify brain_plant_classify brain_solution_iocr brain_realtime_product brain_nlp_lexer_custom brain_kgbody_analysis brain_body_attr brain_ocr_vat_invoice brain_advanced_general_classify brain_numbers brain_body_number vis-faceverify_FACE_auth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi",
  "session_secret": "2ca66d464545c77a4767f709873be4"
},
{
  "refresh_token": "25.ea2f85ebd48df85fe5400000.18640.282335-15533349",
  "expires_in": 2592010,
  "session_key": "9mzdWr3n8ncMeDgX8zjhkhlW8khb5cdZtPevPbPwQGBg==",
  "access_token": "24.ac0ca9fakhlkyhl552017858.282335-15533349",
  "scope": "audio_voice_assistant_get audio_tts_post public vis-ocr_ocr nlp_simnet nlp_wclassify_watermark brain_ocr_scope vis-classify_car brain_gif_antiporn brain_ocr_general brain_ocr_general_basic brain_ocr_generer vis-classify_animal brain_politician brain_unit_utterance brain_imgquality_general brain_nlp_simnet brain_nlp_depparser vis-classify_plant brain_solution brain_ocr_plate_number brain_nlp_wordembedding brain_nlp_dnnlm_cn_legacy brain_nlp_simnet_legacy brain_nlp_commain_animal_classify brain_plant_classify brain_solution_iocr brain_realtime_product brain_nlp_lexer_custom brain_kgbody_analysis brain_body_attr brain_ocr_vat_invoice brain_advanced_general_classify brain_numbers brain_body_number vis-faceverify_FACE_auth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi",
  "session_secret": "2ca66d464545c77a4767f709873be4"
}
]

            public static void Main(string[] args)
            {
                FileStream fs = new FileStream(@"请修改成你的文件路径\json1.json", FileMode.Open);
                StreamReader fileStream = new StreamReader(fs);
                string str = "";
                string line;
                while ((line = fileStream.ReadLine()) != null)
                {
                    str += line;
                }
                //上面的代码没有意义，只是将Json文件的内容加载到字符串中

                JObject jObject = new JObject();　　　　　　　　//新建 操作对象
                List<AccessTokenModel> a = JsonConvert.DeserializeObject<List<AccessTokenModel>>(str);
                foreach (var i in a)
                {
                    Console.WriteLine(i.access_token);
                }

                Console.ReadKey();
            }

            public static void Main(string[] args)
            {
                AccessTokenModel accessTokenModel = new AccessTokenModel();
                accessTokenModel.access_token = "test1";
                accessTokenModel.expires_in = "test2";
                accessTokenModel.refresh_token = "test3";
                accessTokenModel.scope = "test4";
                accessTokenModel.session_key = "test5";
                accessTokenModel.session_secret = "test6";

                JObject jObject = new JObject();
                string str = JsonConvert.SerializeObject(accessTokenModel);　　　　//转为字符串

                Console.WriteLine(str);
                Console.ReadKey();
            }

            public static void Main(string[] args)
            {
                JArray array = new JArray();
                array.Add("Manual text");
                array.Add(new DateTime(2000, 5, 23));

                JObject o = new JObject();
                o["MyArray"] = array;

                string json = o.ToString();
                // {
                //   "MyArray": [
                //     "Manual text",
                //     "2000-05-23T00:00:00"
                //   ]
                // }

                Console.WriteLine(json);
                Console.ReadKey();

using Newtonsoft.Json.Linq;

另外附上 百度AI 文字识别 Json 及其模型类

{
  "log_id": 3413661945235258919,
  "direction": 0,
  "words_result_num": 2,
  "words_result": [
    {
      "vertexes_location": [
        {
          "y": 81,
          "x": 51
        },
        {
          "y": 81,
          "x": 151
        },
        {
          "y": 103,
          "x": 151
        },
        {
          "y": 103,
          "x": 51
        }
      ],
      "probability": {
        "variance": 0.0,
        "average": 0.999861,
        "min": 0.999627
      },
      "chars": [
        {
          "char": "今",
          "location": {
            "width": 17,
            "top": 83,
            "left": 60,
            "height": 20
          }
        },
        {
          "char": "天",
          "location": {
            "width": 17,
            "top": 83,
            "left": 78,
            "height": 20
          }
        },
        {
          "char": "除",
          "location": {
            "width": 12,
            "top": 83,
            "left": 103,
            "height": 20
          }
        },
        {
          "char": "了",
          "location": {
            "width": 16,
            "top": 83,
            "left": 116,
            "height": 20
          }
        },
        {
          "char": "皮",
          "location": {
            "width": 13,
            "top": 83,
            "left": 140,
            "height": 20
          }
        }
      ],
      "min_finegrained_vertexes_location": [
        {
          "y": 81,
          "x": 51
        },
        {
          "y": 81,
          "x": 151
        },
        {
          "y": 103,
          "x": 151
        },
        {
          "y": 103,
          "x": 51
        }
      ],
      "finegrained_vertexes_location": [
        {
          "y": 81,
          "x": 51
        },
        {
          "y": 81,
          "x": 71
        },
        {
          "y": 81,
          "x": 90
        },
        {
          "y": 81,
          "x": 110
        },
        {
          "y": 81,
          "x": 129
        },
        {
          "y": 81,
          "x": 149
        },
        {
          "y": 81,
          "x": 151
        },
        {
          "y": 91,
          "x": 151
        },
        {
          "y": 100,
          "x": 151
        },
        {
          "y": 103,
          "x": 151
        },
        {
          "y": 103,
          "x": 132
        },
        {
          "y": 103,
          "x": 112
        },
        {
          "y": 103,
          "x": 93
        },
        {
          "y": 103,
          "x": 73
        },
        {
          "y": 103,
          "x": 54
        },
        {
          "y": 103,
          "x": 51
        },
        {
          "y": 93,
          "x": 51
        },
        {
          "y": 84,
          "x": 51
        }
      ],
      "location": {
        "width": 102,
        "top": 81,
        "left": 51,
        "height": 24
      },
      "words": "今天除了皮"
    },
    {
      "vertexes_location": [
        {
          "y": 109,
          "x": 52
        },
        {
          "y": 109,
          "x": 152
        },
        {
          "y": 130,
          "x": 152
        },
        {
          "y": 130,
          "x": 52
        }
      ],
      "probability": {
        "variance": 8E-05,
        "average": 0.9907,
        "min": 0.973259
      },
      "chars": [
        {
          "char": "又",
          "location": {
            "width": 16,
            "top": 111,
            "left": 61,
            "height": 20
          }
        },
        {
          "char": "啥",
          "location": {
            "width": 12,
            "top": 111,
            "left": 85,
            "height": 20
          }
        },
        {
          "char": "也",
          "location": {
            "width": 16,
            "top": 111,
            "left": 98,
            "height": 20
          }
        },
        {
          "char": "没",
          "location": {
            "width": 15,
            "top": 111,
            "left": 123,
            "height": 20
          }
        },
        {
          "char": "干",
          "location": {
            "width": 13,
            "top": 111,
            "left": 141,
            "height": 20
          }
        }
      ],
      "min_finegrained_vertexes_location": [
        {
          "y": 109,
          "x": 52
        },
        {
          "y": 109,
          "x": 152
        },
        {
          "y": 130,
          "x": 152
        },
        {
          "y": 130,
          "x": 52
        }
      ],
      "finegrained_vertexes_location": [
        {
          "y": 109,
          "x": 52
        },
        {
          "y": 109,
          "x": 71
        },
        {
          "y": 109,
          "x": 91
        },
        {
          "y": 109,
          "x": 110
        },
        {
          "y": 109,
          "x": 129
        },
        {
          "y": 109,
          "x": 149
        },
        {
          "y": 109,
          "x": 152
        },
        {
          "y": 119,
          "x": 152
        },
        {
          "y": 129,
          "x": 152
        },
        {
          "y": 130,
          "x": 152
        },
        {
          "y": 130,
          "x": 133
        },
        {
          "y": 130,
          "x": 113
        },
        {
          "y": 130,
          "x": 94
        },
        {
          "y": 130,
          "x": 74
        },
        {
          "y": 130,
          "x": 55
        },
        {
          "y": 130,
          "x": 52
        },
        {
          "y": 121,
          "x": 52
        },
        {
          "y": 111,
          "x": 52
        }
      ],
      "location": {
        "width": 102,
        "top": 109,
        "left": 52,
        "height": 22
      },
      "words": "又啥也没干"
    }
  ],
  "language": -1
}

    /// <summary>
    /// 通用文字识别（含位置版）返回结果
    /// </summary>
    public class GeneralModel
    {
        /// <summary>
        /// 必选
        /// 唯一的log id，用于问题定位
        /// </summary>
        public long log_id { get; set; }
        /// <summary>
        /// 图像方向，当detect_direction=true时存在。
        /// 非必选
        ///- -1:未定义，
        ///- 0:正向，
        ///- 1: 逆时针90度，
        ///- 2:逆时针180度，
        ///- 3:逆时针270度
        /// </summary>
        public int direction { get; set; }

        /// <summary>
        /// 必选
        /// 识别结果数，表示words_result的元素个数
        /// </summary>
        public int words_result_num { get; set; }

        /// <summary>
        /// 检测语言 默认值会返回 -1
        /// </summary>
        public string language { get; set; }
        /// <summary>
        /// 定位和识别文字结果数组
        /// </summary>
        public List<Words_result> words_result { get; set; }

        public class Words_result
        {
            /// <summary>
            /// 图片中文字段四个顶点位置(矩形范围)
            /// </summary>
            public List<XY> vertexes_Location { get; set; }
            /// <summary>
            /// 可选
            /// 行置信度信息；如果输入参数 probability = true 则输出
            /// </summary>
            public Probability probability { get; set; }
            /// <summary>
            /// 每个字
            /// </summary>
            public List<Chars> chars { get; set; }
            /// <summary>
            /// 最小细粒度顶点坐标
            /// </summary>
            public List<XY> min_finegrained_vertexes_location { get; set; }
            /// <summary>
            /// 细粒度顶点坐标，多边形
            /// </summary>
            public List<XY> finegrained_vertexes_location { get; set; }
            /// <summary>
            /// 文字在图片中的相对位置
            /// </summary>
            public Location location { get; set; }
            /// <summary>
            /// 识别出的文字
            /// </summary>
            public string words { get; set; }
            /// <summary>
            /// 坐标
            /// </summary>
            public class XY
            {
                public int x { get; set; }
                public int y { get; set; }
            }
            /// <summary>
            /// 行置信度
            /// </summary>
            public class Probability
            {
                /// <summary>
                /// 行置信度平均值方差
                /// </summary>
                public double variance { get; set; }
                /// <summary>
                /// 行置信度平均值
                /// </summary>
                public double average { get; set; }

                /// <summary>
                /// 行置信度最小值
                /// </summary>
                public double min { get; set; }
            }
            /// <summary>
            /// 单个文字
            /// </summary>
            public class Chars
            {
                /// <summary>
                /// 识别的单个文字
                /// </summary>
                public char chaR { get; set; }
                /// <summary>
                /// 该文字范围(矩形)
                /// </summary>
                public Location location { get; set; }
            }
        }
        public class Location
        {
            public int left { get; set; }
            public int top { get; set; }
            public int width { get; set; }
            public int height { get; set; }
        }
    }
}

 static void Main(string[] args)
        {
            StreamReader streamReader = new StreamReader(System.IO.File.OpenRead(@"json文件位置"));
            string str = "";
            string jsonstr;
            while ((jsonstr = streamReader.ReadLine()) != null)
            {
                str += jsonstr;
            }

            GeneralModel generalModel = JsonConvert.DeserializeObject<GeneralModel>(str);

            Console.WriteLine("图片id：" + generalModel.log_id);
            Console.WriteLine("图像方向：" + generalModel.direction);
            Console.WriteLine("检测语言为：" + generalModel.language);
            Console.WriteLine("有几个结果：" + generalModel.words_result_num);

            foreach (var item in generalModel.words_result)
            {

                Console.WriteLine("识别结果：" + Encoding.UTF8.GetString(Encoding.UTF8.GetBytes(item.words)));
                foreach (var itemi in item.vertexes_Location)
                {
                    Console.WriteLine("{x:" + itemi.x + ";y:" + itemi.y + "}");
                }
                Console.WriteLine("Probability:可信度:" + "行置信度平均值" + item.probability.average + ";行置信度平均值方差:" + item.probability.variance + ";行置信度平均值最小值：" + item.probability.min);
                foreach (var itemi in item.chars)
                {
                    Console.WriteLine(itemi.chaR);
                    Console.WriteLine("位置:  left:" + itemi.location.left + ";  height: " + itemi.location.height + "top: " + itemi.location.top + "; width: " + itemi.location.width);
                }
            }

            Console.ReadKey();