Java
Chilkat2 Java
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.Chilkat Java Downloads
import com.chilkatsoft.chilkat2.AuthAws;
import com.chilkatsoft.chilkat2.BinData;
import com.chilkatsoft.chilkat2.ChilkatException;
import com.chilkatsoft.chilkat2.JsonObject;
import com.chilkatsoft.chilkat2.Rest;
import com.chilkatsoft.chilkat2.StringBuilder;
public class ChilkatExample {
public static void main(String[] args) {
Rest rest = new Rest();
AuthAws authAws = new AuthAws();
authAws.setAccessKey("AWS_ACCESS_KEY");
authAws.setSecretKey("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.setRegion("us-west-2");
authAws.setServiceName("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/
boolean bTls = true;
int port = 443;
boolean bAutoReconnect = true;
// Don't forget to change the region domain (us-west-2.amazonaws.com) to your particular region.
try {
rest.connect("rekognition.us-west-2.amazonaws.com", port, bTls, bAutoReconnect);
} catch (ChilkatException e) {
System.out.println("ConnectFailReason: " + rest.getConnectFailReason());
System.out.println(e.getLastErrorText());
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.
BinData bdJpg = new BinData();
try {
bdJpg.loadFile("qa_data/jpg/monday_keep_smiling.jpg");
} catch (ChilkatException e) {
System.out.println("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.
StringBuilder sbJpg = new StringBuilder();
bdJpg.getEncodedSb("base64", sbJpg);
JsonObject json = new JsonObject();
json.updateSb("Image.Bytes", sbJpg);
rest.addHeader("Content-Type", "application/x-amz-json-1.1");
rest.addHeader("X-Amz-Target", "RekognitionService.DetectText");
StringBuilder sbRequestBody = new StringBuilder();
json.emitSb(sbRequestBody);
StringBuilder sbResponseBody = new StringBuilder();
try {
rest.fullRequestSb("POST", "/", sbRequestBody, sbResponseBody);
} catch (ChilkatException e) {
System.out.println(e.getLastErrorText());
return;
}
int respStatusCode = rest.getResponseStatusCode();
System.out.println("response status code = " + respStatusCode);
if (respStatusCode >= 400) {
System.out.println("Response Status Code = " + respStatusCode);
System.out.println("Response Header:");
System.out.println(rest.getResponseHeader());
System.out.println("Response Body:");
System.out.println(sbResponseBody.getAsString());
return;
}
JsonObject jResp = new JsonObject();
jResp.loadSb(sbResponseBody);
jResp.setEmitCompact(false);
System.out.println(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 = 0;
String v_Type = "";
int ParentId = 0;
int j = 0;
int count_j = 0;
String X = "";
String Y = "";
String TextModelVersion = jResp.stringOf("TextModelVersion");
int i = 0;
int count_i = jResp.sizeOfArray("TextDetections");
while (i < count_i) {
jResp.setI(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.setJ(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;
}
}
}