VBScript
VBScript
Google Cloud Vision Text Detection
See more HTTP Misc Examples
Demonstrates calling the Google Cloud Vision for text detection (performs Optical Character Recognition). "Detects and extracts text within an image with support for a broad range of languages. It also features automatic language identification." See https://cloud.google.com/vision/docs/detecting-textChilkat VBScript Downloads
Dim fso, outFile
Set fso = CreateObject("Scripting.FileSystemObject")
'Create a Unicode (utf-16) output text file.
Set outFile = fso.CreateTextFile("output.txt", True, True)
success = 0
' This example requires the Chilkat API to have been previously unlocked.
' See Global Unlock Sample for sample code.
' Build the following request:
' {
' "requests": [
' {
' "image": {
' "content": "/9j/7QBEUGhvdG9zaG9...base64-encoded-image-content...fXNWzvDEeYxxxzj/Coa6Bax//Z"
' },
' "features": [
' {
' "type": "TEXT_DETECTION"
' }
' ]
' }
' ]
' }
' Use this online tool to generate the code from sample JSON:
' Generate Code to Create JSON
' Load an image file.
set imageData = CreateObject("Chilkat.BinData")
' This image file contains some text...
success = imageData.LoadFile("qa_data/jpg/text.jpg")
If (success <> 1) Then
outFile.WriteLine("Failed to load image file.")
WScript.Quit
End If
' Create the above JSON.
set json = CreateObject("Chilkat.JsonObject")
success = json.UpdateBd("requests[0].image.content","base64",imageData)
success = json.UpdateString("requests[0].features[0].type","TEXT_DETECTION")
' Send the following POST with the HTTP request body containing the above JSON.
' POST https://vision.googleapis.com/v1/images:annotate?key=YOUR_API_KEY
set http = CreateObject("Chilkat.Http")
http.SessionLogFilename = "c:/aaworkarea/sessionLog.txt"
set sb = CreateObject("Chilkat.StringBuilder")
url = "https://vision.googleapis.com/v1/images:annotate?key=YOUR_API_KEY"
set resp = CreateObject("Chilkat.HttpResponse")
success = http.HttpJson("POST",url,json,"application/json",resp)
If (success = 0) Then
outFile.WriteLine(http.LastErrorText)
WScript.Quit
End If
outFile.WriteLine("status = " & resp.StatusCode)
' A 200 response status indicate success.
If (resp.StatusCode <> 200) Then
outFile.WriteLine(resp.BodyStr)
outFile.WriteLine("Failed.")
WScript.Quit
End If
set sbResponseBody = CreateObject("Chilkat.StringBuilder")
success = resp.GetBodySb(sbResponseBody)
success = sbResponseBody.WriteFile("qa_output/textDetectResponse.json","utf-8",0)
success = json.LoadSb(sbResponseBody)
' The response is a JSON document like this:
' Use this online tool to generate parsing code from sample JSON:
' Generate Parsing Code from JSON
' {
' "responses": [
' {
' "textAnnotations": [
' {
' "locale": "en",
' "description": "Chilkat is a cross-language, cross-platform\nAPl providing 90+ classes for many Internet\nprotocols, formats, and algorithms.\n",
' "boundingPoly": {
' "vertices": [
' {
' "x": 17,
' "y": 14
' },
' ...
' ]
' }
' ],
' "text": "Chilkat is a cross-language, cross-platform\nAPl providing 90+ classes for many Internet\nprotocols, formats, and algorithms.\n"
' }
' }
' ]
' }
' The parsing code generated from the online tool:
set json1 = CreateObject("Chilkat.JsonObject")
set json2 = CreateObject("Chilkat.JsonObject")
i = 0
count_i = json.SizeOfArray("responses")
Do While i < count_i
json.I = i
fullTextAnnotationText = json.StringOf("responses[i].fullTextAnnotation.text")
j = 0
count_j = json.SizeOfArray("responses[i].textAnnotations")
Do While j < count_j
json.J = j
locale = json.StringOf("responses[i].textAnnotations[j].locale")
description = json.StringOf("responses[i].textAnnotations[j].description")
k = 0
count_k = json.SizeOfArray("responses[i].textAnnotations[j].boundingPoly.vertices")
Do While k < count_k
json.K = k
x = json.IntOf("responses[i].textAnnotations[j].boundingPoly.vertices[k].x")
y = json.IntOf("responses[i].textAnnotations[j].boundingPoly.vertices[k].y")
k = k + 1
Loop
j = j + 1
Loop
j = 0
count_j = json.SizeOfArray("responses[i].fullTextAnnotation.pages")
Do While j < count_j
json.J = j
width = json.IntOf("responses[i].fullTextAnnotation.pages[j].width")
height = json.IntOf("responses[i].fullTextAnnotation.pages[j].height")
k = 0
count_k = json.SizeOfArray("responses[i].fullTextAnnotation.pages[j].property.detectedLanguages")
Do While k < count_k
json.K = k
languageCode = json.StringOf("responses[i].fullTextAnnotation.pages[j].property.detectedLanguages[k].languageCode")
k = k + 1
Loop
k = 0
count_k = json.SizeOfArray("responses[i].fullTextAnnotation.pages[j].blocks")
Do While k < count_k
json.K = k
blockType = json.StringOf("responses[i].fullTextAnnotation.pages[j].blocks[k].blockType")
success = json.ObjectOf2("responses[i].fullTextAnnotation.pages[j].blocks[k]",json1)
i1 = 0
count_i1 = json1.SizeOfArray("property.detectedLanguages")
Do While i1 < count_i1
json1.I = i1
languageCode = json1.StringOf("property.detectedLanguages[i].languageCode")
i1 = i1 + 1
Loop
success = json.ObjectOf2("responses[i].fullTextAnnotation.pages[j].blocks[k]",json1)
i1 = 0
count_i1 = json1.SizeOfArray("boundingBox.vertices")
Do While i1 < count_i1
json1.I = i1
x = json1.IntOf("boundingBox.vertices[i].x")
y = json1.IntOf("boundingBox.vertices[i].y")
i1 = i1 + 1
Loop
success = json.ObjectOf2("responses[i].fullTextAnnotation.pages[j].blocks[k]",json1)
i1 = 0
count_i1 = json1.SizeOfArray("paragraphs")
Do While i1 < count_i1
json1.I = i1
j1 = 0
count_j1 = json1.SizeOfArray("paragraphs[i].property.detectedLanguages")
Do While j1 < count_j1
json1.J = j1
languageCode = json1.StringOf("paragraphs[i].property.detectedLanguages[j].languageCode")
j1 = j1 + 1
Loop
j1 = 0
count_j1 = json1.SizeOfArray("paragraphs[i].boundingBox.vertices")
Do While j1 < count_j1
json1.J = j1
x = json1.IntOf("paragraphs[i].boundingBox.vertices[j].x")
y = json1.IntOf("paragraphs[i].boundingBox.vertices[j].y")
j1 = j1 + 1
Loop
j1 = 0
count_j1 = json1.SizeOfArray("paragraphs[i].words")
Do While j1 < count_j1
json1.J = j1
k1 = 0
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].property.detectedLanguages")
Do While k1 < count_k1
json1.K = k1
languageCode = json1.StringOf("paragraphs[i].words[j].property.detectedLanguages[k].languageCode")
k1 = k1 + 1
Loop
k1 = 0
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].boundingBox.vertices")
Do While k1 < count_k1
json1.K = k1
x = json1.IntOf("paragraphs[i].words[j].boundingBox.vertices[k].x")
y = json1.IntOf("paragraphs[i].words[j].boundingBox.vertices[k].y")
k1 = k1 + 1
Loop
k1 = 0
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].symbols")
Do While k1 < count_k1
json1.K = k1
text = json1.StringOf("paragraphs[i].words[j].symbols[k].text")
propertyDetectedBreakType = json1.StringOf("paragraphs[i].words[j].symbols[k].property.detectedBreak.type")
success = json1.ObjectOf2("paragraphs[i].words[j].symbols[k]",json2)
i2 = 0
count_i2 = json2.SizeOfArray("property.detectedLanguages")
Do While i2 < count_i2
json2.I = i2
languageCode = json2.StringOf("property.detectedLanguages[i].languageCode")
i2 = i2 + 1
Loop
success = json1.ObjectOf2("paragraphs[i].words[j].symbols[k]",json2)
i2 = 0
count_i2 = json2.SizeOfArray("boundingBox.vertices")
Do While i2 < count_i2
json2.I = i2
x = json2.IntOf("boundingBox.vertices[i].x")
y = json2.IntOf("boundingBox.vertices[i].y")
i2 = i2 + 1
Loop
k1 = k1 + 1
Loop
j1 = j1 + 1
Loop
i1 = i1 + 1
Loop
k = k + 1
Loop
j = j + 1
Loop
i = i + 1
Loop
outFile.WriteLine("Success.")
outFile.Close