Swift
Swift
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 Swift Downloads
func chilkatTest() {
var success: Bool = false
let rest = CkoRest()!
let authAws = CkoAuthAws()!
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(authProvider: authAws)
// URL: https://rekognition.us-west-2.amazonaws.com/
var bTls: Bool = true
var port: Int = 443
var bAutoReconnect: Bool = true
// Don't forget to change the region domain (us-west-2.amazonaws.com) to your particular region.
success = rest.connect(hostname: "rekognition.us-west-2.amazonaws.com", port: port, tls: bTls, autoReconnect: bAutoReconnect)
if success != true {
print("ConnectFailReason: \(rest.connectFailReason.intValue)")
print("\(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.
let bdJpg = CkoBinData()!
success = bdJpg.loadFile(path: "qa_data/jpg/monday_keep_smiling.jpg")
if success != true {
print("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:
// (image:https://example-code.com/images/monday_keep_smiling.jpg/endImage)
// 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.
let sbJpg = CkoStringBuilder()!
bdJpg.getEncodedSb(encoding: "base64", sb: sbJpg)
let json = CkoJsonObject()!
json.updateSb(jsonPath: "Image.Bytes", sb: sbJpg)
rest.addHeader(name: "Content-Type", value: "application/x-amz-json-1.1")
rest.addHeader(name: "X-Amz-Target", value: "RekognitionService.DetectText")
let sbRequestBody = CkoStringBuilder()!
json.emitSb(sb: sbRequestBody)
let sbResponseBody = CkoStringBuilder()!
success = rest.fullRequestSb(httpVerb: "POST", uriPath: "/", requestBody: sbRequestBody, responseBody: sbResponseBody)
if success != true {
print("\(rest.lastErrorText!)")
return
}
var respStatusCode: Int = rest.responseStatusCode.intValue
print("response status code = \(respStatusCode)")
if respStatusCode >= 400 {
print("Response Status Code = \(respStatusCode)")
print("Response Header:")
print("\(rest.responseHeader!)")
print("Response Body:")
print("\(sbResponseBody.getAsString()!)")
return
}
let jResp = CkoJsonObject()!
jResp.loadSb(sb: sbResponseBody)
jResp.emitCompact = false
print("\(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
var Confidence: String?
var DetectedText: String?
var GeometryBoundingBoxHeight: String?
var GeometryBoundingBoxLeft: String?
var GeometryBoundingBoxTop: String?
var GeometryBoundingBoxWidth: String?
var Id: Int
var v_Type: String?
var ParentId: Int
var j: Int
var count_j: Int
var X: String?
var Y: String?
var TextModelVersion: String? = jResp.string(of: "TextModelVersion")
var i: Int = 0
var count_i: Int = jResp.size(ofArray: "TextDetections").intValue
while i < count_i {
jResp.i = i
Confidence = jResp.string(of: "TextDetections[i].Confidence")
DetectedText = jResp.string(of: "TextDetections[i].DetectedText")
GeometryBoundingBoxHeight = jResp.string(of: "TextDetections[i].Geometry.BoundingBox.Height")
GeometryBoundingBoxLeft = jResp.string(of: "TextDetections[i].Geometry.BoundingBox.Left")
GeometryBoundingBoxTop = jResp.string(of: "TextDetections[i].Geometry.BoundingBox.Top")
GeometryBoundingBoxWidth = jResp.string(of: "TextDetections[i].Geometry.BoundingBox.Width")
Id = jResp.int(of: "TextDetections[i].Id").intValue
v_Type = jResp.string(of: "TextDetections[i].Type")
ParentId = jResp.int(of: "TextDetections[i].ParentId").intValue
j = 0
count_j = jResp.size(ofArray: "TextDetections[i].Geometry.Polygon").intValue
while j < count_j {
jResp.j = j
X = jResp.string(of: "TextDetections[i].Geometry.Polygon[j].X")
Y = jResp.string(of: "TextDetections[i].Geometry.Polygon[j].Y")
j = j + 1
}
i = i + 1
}
}