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(.NET Core C#) Amazon Rekognition - Detect Text in an Image

See more Amazon Rekognition Examples

Detects text in the input image and converts it into machine-readable text. This example passes theimage as base64-encoded image bytes.

For more information, see https://docs.aws.amazon.com/rekognition/latest/dg/API_DetectText.html

Chilkat .NET Downloads

Chilkat .NET Assemblies

Chilkat for .NET Core

Chilkat for Mono

Chilkat.Rest rest = new Chilkat.Rest();
bool success;

Chilkat.AuthAws authAws = new Chilkat.AuthAws();
authAws.AccessKey = "AWS_ACCESS_KEY";
authAws.SecretKey = "AWS_SECRET_KEY";
// Don't forget to change the region to your particular region. (Also make the same change in the call to Connect below.)
authAws.Region = "us-west-2";
authAws.ServiceName = "rekognition";
// SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
rest.SetAuthAws(authAws);

// URL: https://rekognition.us-west-2.amazonaws.com/
bool bTls = true;
int port = 443;
bool bAutoReconnect = true;
// Don't forget to change the region domain (us-west-2.amazonaws.com) to your particular region.
success = rest.Connect("rekognition.us-west-2.amazonaws.com",port,bTls,bAutoReconnect);
if (success != true) {
    Debug.WriteLine("ConnectFailReason: " + Convert.ToString(rest.ConnectFailReason));
    Debug.WriteLine(rest.LastErrorText);
    return;
}

// Note: The above code does not need to be repeatedly called for each REST request.
// The rest object can be setup once, and then many requests can be sent.  Chilkat will automatically
// reconnect within a FullRequest* method as needed.  It is only the very first connection that is explicitly
// made via the Connect method.

// Load the JPG to be passed as base64 in the JSON.
Chilkat.BinData bdJpg = new Chilkat.BinData();
success = bdJpg.LoadFile("qa_data/jpg/monday_keep_smiling.jpg");
if (success != true) {
    Debug.WriteLine("Failed to load the input JPG file.");
    return;
}

// We wish to send the following JSON in the body of our HTTP request:

// {
//   "Image": {
//       "Bytes": "base64_image_bytes"
//   }
// }

// Here is the image we used for testing:


// Convert binary image bytes to base64.
// Note: We are explicitly keeping the data inside Chilkat to avoid having to pass large strings
// as arguments to function calls.  This is important for some programming languages.
Chilkat.StringBuilder sbJpg = new Chilkat.StringBuilder();
bdJpg.GetEncodedSb("base64",sbJpg);

Chilkat.JsonObject json = new Chilkat.JsonObject();
json.UpdateSb("Image.Bytes",sbJpg);

rest.AddHeader("Content-Type","application/x-amz-json-1.1");
rest.AddHeader("X-Amz-Target","RekognitionService.DetectText");

Chilkat.StringBuilder sbRequestBody = new Chilkat.StringBuilder();
json.EmitSb(sbRequestBody);
Chilkat.StringBuilder sbResponseBody = new Chilkat.StringBuilder();
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody);
if (success != true) {
    Debug.WriteLine(rest.LastErrorText);
    return;
}

int respStatusCode = rest.ResponseStatusCode;
Debug.WriteLine("response status code = " + Convert.ToString(respStatusCode));

if (respStatusCode >= 400) {
    Debug.WriteLine("Response Status Code = " + Convert.ToString(respStatusCode));
    Debug.WriteLine("Response Header:");
    Debug.WriteLine(rest.ResponseHeader);
    Debug.WriteLine("Response Body:");
    Debug.WriteLine(sbResponseBody.GetAsString());
    return;
}

Chilkat.JsonObject jResp = new Chilkat.JsonObject();
jResp.LoadSb(sbResponseBody);

jResp.EmitCompact = false;
Debug.WriteLine(jResp.Emit());

// Sample JSON response:
// (Sample code for parsing the JSON response is shown below)

// {
//   "TextDetections": [
//     {
//       "Confidence": 95.99308776855469,
//       "DetectedText": "( MONDAY IT'S",
//       "Geometry": {
//         "BoundingBox": {
//           "Height": 0.6399821043014526,
//           "Left": 0.219133198261261,
//           "Top": 0.08677978068590164,
//           "Width": 0.7433173656463623
//         },
//         "Polygon": [
//           {
//             "X": 0.219133198261261,
//             "Y": 0.3588336706161499
//           },
//           {
//             "X": 0.8984103798866272,
//             "Y": 0.08677978068590164
//           },
//           {
//             "X": 0.9624505639076233,
//             "Y": 0.4547080099582672
//           },
//           {
//             "X": 0.2831733524799347,
//             "Y": 0.7267619371414185
//           }
//         ]
//       },
//       "Id": 0,
//       "Type": "LINE"
//     },
//     {
//       "Confidence": 99.70352172851562,
//       "DetectedText": "but keep",
//       "Geometry": {
//         "BoundingBox": {
//           "Height": 0.09703556448221207,
//           "Left": 0.6335319876670837,
//           "Top": 0.5153074264526367,
//           "Width": 0.21070890128612518
//         },
//         "Polygon": [
//           {
//             "X": 0.6355597376823425,
//             "Y": 0.5153074264526367
//           },
//           {
//             "X": 0.8442409038543701,
//             "Y": 0.5266726613044739
//           },
//           {
//             "X": 0.8422132134437561,
//             "Y": 0.6123430132865906
//           },
//           {
//             "X": 0.6335319876670837,
//             "Y": 0.6009777784347534
//           }
//         ]
//       },
//       "Id": 1,
//       "Type": "LINE"
//     },
//     {
//       "Confidence": 99.92333984375,
//       "DetectedText": "Smiling",
//       "Geometry": {
//         "BoundingBox": {
//           "Height": 0.31578224897384644,
//           "Left": 0.5070608258247375,
//           "Top": 0.6086956262588501,
//           "Width": 0.4795433282852173
//         },
//         "Polygon": [
//           {
//             "X": 0.5070608258247375,
//             "Y": 0.6298336386680603
//           },
//           {
//             "X": 0.9808917045593262,
//             "Y": 0.6086956262588501
//           },
//           {
//             "X": 0.9866041541099548,
//             "Y": 0.9033399224281311
//           },
//           {
//             "X": 0.5127732157707214,
//             "Y": 0.9244779348373413
//           }
//         ]
//       },
//       "Id": 2,
//       "Type": "LINE"
//     },
//     {
//       "Confidence": 99.77294158935547,
//       "DetectedText": "IT'S",
//       "Geometry": {
//         "BoundingBox": {
//           "Height": 0.09903381764888763,
//           "Left": 0.668789803981781,
//           "Top": 0.17874395847320557,
//           "Width": 0.1449044644832611
//         },
//         "Polygon": [
//           {
//             "X": 0.668789803981781,
//             "Y": 0.17874395847320557
//           },
//           {
//             "X": 0.8136942386627197,
//             "Y": 0.17874395847320557
//           },
//           {
//             "X": 0.8136942386627197,
//             "Y": 0.2777777910232544
//           },
//           {
//             "X": 0.668789803981781,
//             "Y": 0.2777777910232544
//           }
//         ]
//       },
//       "Id": 5,
//       "ParentId": 0,
//       "Type": "WORD"
//     },
//     {
//       "Confidence": 98.44307708740234,
//       "DetectedText": "MONDAY",
//       "Geometry": {
//         "BoundingBox": {
//           "Height": 0.11112251877784729,
//           "Left": 0.5541401505470276,
//           "Top": 0.3526569902896881,
//           "Width": 0.39013487100601196
//         },
//         "Polygon": [
//           {
//             "X": 0.5541401505470276,
//             "Y": 0.3526569902896881
//           },
//           {
//             "X": 0.9442675113677979,
//             "Y": 0.3502415418624878
//           },
//           {
//             "X": 0.9458598494529724,
//             "Y": 0.4613526463508606
//           },
//           {
//             "X": 0.5541401505470276,
//             "Y": 0.4637681245803833
//           }
//         ]
//       },
//       "Id": 4,
//       "ParentId": 0,
//       "Type": "WORD"
//     },
//     {
//       "Confidence": 99.61898803710938,
//       "DetectedText": "but",
//       "Geometry": {
//         "BoundingBox": {
//           "Height": 0.06521739065647125,
//           "Left": 0.6353503465652466,
//           "Top": 0.5241546034812927,
//           "Width": 0.0843949019908905
//         },
//         "Polygon": [
//           {
//             "X": 0.6353503465652466,
//             "Y": 0.5241546034812927
//           },
//           {
//             "X": 0.7197452187538147,
//             "Y": 0.5241546034812927
//           },
//           {
//             "X": 0.7197452187538147,
//             "Y": 0.5893719792366028
//           },
//           {
//             "X": 0.6353503465652466,
//             "Y": 0.5893719792366028
//           }
//         ]
//       },
//       "Id": 6,
//       "ParentId": 1,
//       "Type": "WORD"
//     },
//     {
//       "Confidence": 99.78804779052734,
//       "DetectedText": "keep",
//       "Geometry": {
//         "BoundingBox": {
//           "Height": 0.07971014827489853,
//           "Left": 0.7308917045593262,
//           "Top": 0.5265700221061707,
//           "Width": 0.1114649698138237
//         },
//         "Polygon": [
//           {
//             "X": 0.7308917045593262,
//             "Y": 0.5265700221061707
//           },
//           {
//             "X": 0.8423566818237305,
//             "Y": 0.5265700221061707
//           },
//           {
//             "X": 0.8423566818237305,
//             "Y": 0.6062802076339722
//           },
//           {
//             "X": 0.7308917045593262,
//             "Y": 0.6062802076339722
//           }
//         ]
//       },
//       "Id": 7,
//       "ParentId": 1,
//       "Type": "WORD"
//     },
//     {
//       "Confidence": 89.76324462890625,
//       "DetectedText": "(",
//       "Geometry": {
//         "BoundingBox": {
//           "Height": 0.16401274502277374,
//           "Left": 0.27229300141334534,
//           "Top": 0.6642512083053589,
//           "Width": 0.2850286066532135
//         },
//         "Polygon": [
//           {
//             "X": 0.27229300141334534,
//             "Y": 0.6642512083053589
//           },
//           {
//             "X": 0.2707006335258484,
//             "Y": 0.37922704219818115
//           },
//           {
//             "X": 0.43471336364746094,
//             "Y": 0.37922704219818115
//           },
//           {
//             "X": 0.4363057315349579,
//             "Y": 0.6642512083053589
//           }
//         ]
//       },
//       "Id": 3,
//       "ParentId": 0,
//       "Type": "WORD"
//     },
//     {
//       "Confidence": 99.92333984375,
//       "DetectedText": "Smiling",
//       "Geometry": {
//         "BoundingBox": {
//           "Height": 0.294724702835083,
//           "Left": 0.5079618096351624,
//           "Top": 0.6304348111152649,
//           "Width": 0.4734293222427368
//         },
//         "Polygon": [
//           {
//             "X": 0.5079618096351624,
//             "Y": 0.6304348111152649
//           },
//           {
//             "X": 0.9808917045593262,
//             "Y": 0.6086956262588501
//           },
//           {
//             "X": 0.9856687784194946,
//             "Y": 0.9033816456794739
//           },
//           {
//             "X": 0.512738823890686,
//             "Y": 0.9227052927017212
//           }
//         ]
//       },
//       "Id": 8,
//       "ParentId": 2,
//       "Type": "WORD"
//     }
//   ],
//   "TextModelVersion": "3.0"
// }
// 
// 

// Sample code for parsing the JSON response...
// Use the following online tool to generate parsing code from sample JSON:
// Generate Parsing Code from JSON

string Confidence;
string DetectedText;
string GeometryBoundingBoxHeight;
string GeometryBoundingBoxLeft;
string GeometryBoundingBoxTop;
string GeometryBoundingBoxWidth;
int Id;
string v_Type;
int ParentId;
int j;
int count_j;
string X;
string Y;

string TextModelVersion = jResp.StringOf("TextModelVersion");
int i = 0;
int count_i = jResp.SizeOfArray("TextDetections");
while (i < count_i) {
    jResp.I = i;
    Confidence = jResp.StringOf("TextDetections[i].Confidence");
    DetectedText = jResp.StringOf("TextDetections[i].DetectedText");
    GeometryBoundingBoxHeight = jResp.StringOf("TextDetections[i].Geometry.BoundingBox.Height");
    GeometryBoundingBoxLeft = jResp.StringOf("TextDetections[i].Geometry.BoundingBox.Left");
    GeometryBoundingBoxTop = jResp.StringOf("TextDetections[i].Geometry.BoundingBox.Top");
    GeometryBoundingBoxWidth = jResp.StringOf("TextDetections[i].Geometry.BoundingBox.Width");
    Id = jResp.IntOf("TextDetections[i].Id");
    v_Type = jResp.StringOf("TextDetections[i].Type");
    ParentId = jResp.IntOf("TextDetections[i].ParentId");
    j = 0;
    count_j = jResp.SizeOfArray("TextDetections[i].Geometry.Polygon");
    while (j < count_j) {
        jResp.J = j;
        X = jResp.StringOf("TextDetections[i].Geometry.Polygon[j].X");
        Y = jResp.StringOf("TextDetections[i].Geometry.Polygon[j].Y");
        j = j + 1;
    }

    i = i + 1;
}


 

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