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(PHP Extension) Amazon Rekognition - Detect Text in an Image
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
<?php
// The version number (9_5_0) should match version of the Chilkat extension used, omitting the micro-version number.
// For example, if using Chilkat v9.5.0.48, then include as shown here:
include("chilkat_9_5_0.php");
$rest = new CkRest();
$authAws = new CkAuthAws();
$authAws->put_AccessKey('AWS_ACCESS_KEY');
$authAws->put_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->put_Region('us-west-2');
$authAws->put_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/
$bTls = true;
$port = 443;
$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) {
print 'ConnectFailReason: ' . $rest->get_ConnectFailReason() . "\n";
print $rest->lastErrorText() . "\n";
exit;
}
// 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.
$bdJpg = new CkBinData();
$success = $bdJpg->LoadFile('qa_data/jpg/monday_keep_smiling.jpg');
if ($success != true) {
print 'Failed to load the input JPG file.' . "\n";
exit;
}
// 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.
$sbJpg = new CkStringBuilder();
$bdJpg->GetEncodedSb('base64',$sbJpg);
$json = new CkJsonObject();
$json->UpdateSb('Image.Bytes',$sbJpg);
$rest->AddHeader('Content-Type','application/x-amz-json-1.1');
$rest->AddHeader('X-Amz-Target','RekognitionService.DetectText');
$sbRequestBody = new CkStringBuilder();
$json->EmitSb($sbRequestBody);
$sbResponseBody = new CkStringBuilder();
$success = $rest->FullRequestSb('POST','/',$sbRequestBody,$sbResponseBody);
if ($success != true) {
print $rest->lastErrorText() . "\n";
exit;
}
$respStatusCode = $rest->get_ResponseStatusCode();
print 'response status code = ' . $respStatusCode . "\n";
if ($respStatusCode >= 400) {
print 'Response Status Code = ' . $respStatusCode . "\n";
print 'Response Header:' . "\n";
print $rest->responseHeader() . "\n";
print 'Response Body:' . "\n";
print $sbResponseBody->getAsString() . "\n";
exit;
}
$jResp = new CkJsonObject();
$jResp->LoadSb($sbResponseBody);
$jResp->put_EmitCompact(false);
print $jResp->emit() . "\n";
// 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
$TextModelVersion = $jResp->stringOf('TextModelVersion');
$i = 0;
$count_i = $jResp->SizeOfArray('TextDetections');
while ($i < $count_i) {
$jResp->put_I($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) {
$jResp->put_J($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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