Classic ASP
Classic ASP
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 Classic ASP Downloads
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
</head>
<body>
<%
success = 0
set rest = Server.CreateObject("Chilkat.Rest")
set authAws = Server.CreateObject("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
success = rest.SetAuthAws(authAws)
' URL: https://rekognition.us-west-2.amazonaws.com/
bTls = 1
port = 443
bAutoReconnect = 1
' 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 <> 1) Then
Response.Write "<pre>" & Server.HTMLEncode( "ConnectFailReason: " & rest.ConnectFailReason) & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( rest.LastErrorText) & "</pre>"
Response.End
End If
' 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.
set bdJpg = Server.CreateObject("Chilkat.BinData")
success = bdJpg.LoadFile("qa_data/jpg/monday_keep_smiling.jpg")
If (success <> 1) Then
Response.Write "<pre>" & Server.HTMLEncode( "Failed to load the input JPG file.") & "</pre>"
Response.End
End If
' 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.
set sbJpg = Server.CreateObject("Chilkat.StringBuilder")
success = bdJpg.GetEncodedSb("base64",sbJpg)
set json = Server.CreateObject("Chilkat.JsonObject")
success = json.UpdateSb("Image.Bytes",sbJpg)
success = rest.AddHeader("Content-Type","application/x-amz-json-1.1")
success = rest.AddHeader("X-Amz-Target","RekognitionService.DetectText")
set sbRequestBody = Server.CreateObject("Chilkat.StringBuilder")
success = json.EmitSb(sbRequestBody)
set sbResponseBody = Server.CreateObject("Chilkat.StringBuilder")
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
If (success <> 1) Then
Response.Write "<pre>" & Server.HTMLEncode( rest.LastErrorText) & "</pre>"
Response.End
End If
respStatusCode = rest.ResponseStatusCode
Response.Write "<pre>" & Server.HTMLEncode( "response status code = " & respStatusCode) & "</pre>"
If (respStatusCode >= 400) Then
Response.Write "<pre>" & Server.HTMLEncode( "Response Status Code = " & respStatusCode) & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( "Response Header:") & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( rest.ResponseHeader) & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( "Response Body:") & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( sbResponseBody.GetAsString()) & "</pre>"
Response.End
End If
set jResp = Server.CreateObject("Chilkat.JsonObject")
success = jResp.LoadSb(sbResponseBody)
jResp.EmitCompact = 0
Response.Write "<pre>" & Server.HTMLEncode( jResp.Emit()) & "</pre>"
' 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")
Do 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")
Do 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
Loop
i = i + 1
Loop
%>
</body>
</html>