Ruby
Ruby
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 Ruby Downloads
require 'chilkat'
success = false
# 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.
imageData = Chilkat::CkBinData.new()
# This image file contains some text...
success = imageData.LoadFile("qa_data/jpg/text.jpg")
if (success != true)
print "Failed to load image file." + "\n";
exit
end
# Create the above JSON.
json = Chilkat::CkJsonObject.new()
json.UpdateBd("requests[0].image.content","base64",imageData)
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
http = Chilkat::CkHttp.new()
http.put_SessionLogFilename("c:/aaworkarea/sessionLog.txt")
sb = Chilkat::CkStringBuilder.new()
url = "https://vision.googleapis.com/v1/images:annotate?key=YOUR_API_KEY"
resp = Chilkat::CkHttpResponse.new()
success = http.HttpJson("POST",url,json,"application/json",resp)
if (success == false)
print http.lastErrorText() + "\n";
exit
end
print "status = " + resp.get_StatusCode().to_s() + "\n";
# A 200 response status indicate success.
if (resp.get_StatusCode() != 200)
print resp.bodyStr() + "\n";
print "Failed." + "\n";
exit
end
sbResponseBody = Chilkat::CkStringBuilder.new()
resp.GetBodySb(sbResponseBody)
sbResponseBody.WriteFile("qa_output/textDetectResponse.json","utf-8",false)
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:
json1 = Chilkat::CkJsonObject.new()
json2 = Chilkat::CkJsonObject.new()
i = 0
count_i = json.SizeOfArray("responses")
while i < count_i
json.put_I(i)
fullTextAnnotationText = json.stringOf("responses[i].fullTextAnnotation.text")
j = 0
count_j = json.SizeOfArray("responses[i].textAnnotations")
while j < count_j
json.put_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")
while k < count_k
json.put_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
end
j = j + 1
end
j = 0
count_j = json.SizeOfArray("responses[i].fullTextAnnotation.pages")
while j < count_j
json.put_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")
while k < count_k
json.put_K(k)
languageCode = json.stringOf("responses[i].fullTextAnnotation.pages[j].property.detectedLanguages[k].languageCode")
k = k + 1
end
k = 0
count_k = json.SizeOfArray("responses[i].fullTextAnnotation.pages[j].blocks")
while k < count_k
json.put_K(k)
blockType = json.stringOf("responses[i].fullTextAnnotation.pages[j].blocks[k].blockType")
json.ObjectOf2("responses[i].fullTextAnnotation.pages[j].blocks[k]",json1)
i1 = 0
count_i1 = json1.SizeOfArray("property.detectedLanguages")
while i1 < count_i1
json1.put_I(i1)
languageCode = json1.stringOf("property.detectedLanguages[i].languageCode")
i1 = i1 + 1
end
json.ObjectOf2("responses[i].fullTextAnnotation.pages[j].blocks[k]",json1)
i1 = 0
count_i1 = json1.SizeOfArray("boundingBox.vertices")
while i1 < count_i1
json1.put_I(i1)
x = json1.IntOf("boundingBox.vertices[i].x")
y = json1.IntOf("boundingBox.vertices[i].y")
i1 = i1 + 1
end
json.ObjectOf2("responses[i].fullTextAnnotation.pages[j].blocks[k]",json1)
i1 = 0
count_i1 = json1.SizeOfArray("paragraphs")
while i1 < count_i1
json1.put_I(i1)
j1 = 0
count_j1 = json1.SizeOfArray("paragraphs[i].property.detectedLanguages")
while j1 < count_j1
json1.put_J(j1)
languageCode = json1.stringOf("paragraphs[i].property.detectedLanguages[j].languageCode")
j1 = j1 + 1
end
j1 = 0
count_j1 = json1.SizeOfArray("paragraphs[i].boundingBox.vertices")
while j1 < count_j1
json1.put_J(j1)
x = json1.IntOf("paragraphs[i].boundingBox.vertices[j].x")
y = json1.IntOf("paragraphs[i].boundingBox.vertices[j].y")
j1 = j1 + 1
end
j1 = 0
count_j1 = json1.SizeOfArray("paragraphs[i].words")
while j1 < count_j1
json1.put_J(j1)
k1 = 0
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].property.detectedLanguages")
while k1 < count_k1
json1.put_K(k1)
languageCode = json1.stringOf("paragraphs[i].words[j].property.detectedLanguages[k].languageCode")
k1 = k1 + 1
end
k1 = 0
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].boundingBox.vertices")
while k1 < count_k1
json1.put_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
end
k1 = 0
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].symbols")
while k1 < count_k1
json1.put_K(k1)
text = json1.stringOf("paragraphs[i].words[j].symbols[k].text")
propertyDetectedBreakType = json1.stringOf("paragraphs[i].words[j].symbols[k].property.detectedBreak.type")
json1.ObjectOf2("paragraphs[i].words[j].symbols[k]",json2)
i2 = 0
count_i2 = json2.SizeOfArray("property.detectedLanguages")
while i2 < count_i2
json2.put_I(i2)
languageCode = json2.stringOf("property.detectedLanguages[i].languageCode")
i2 = i2 + 1
end
json1.ObjectOf2("paragraphs[i].words[j].symbols[k]",json2)
i2 = 0
count_i2 = json2.SizeOfArray("boundingBox.vertices")
while i2 < count_i2
json2.put_I(i2)
x = json2.IntOf("boundingBox.vertices[i].x")
y = json2.IntOf("boundingBox.vertices[i].y")
i2 = i2 + 1
end
k1 = k1 + 1
end
j1 = j1 + 1
end
i1 = i1 + 1
end
k = k + 1
end
j = j + 1
end
i = i + 1
end
print "Success." + "\n";