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(JavaScript) Google Cloud Vision Text Detection
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-text Note: This example requires Chilkat v11.0.0 or greater.
var 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.
var imageData = new CkBinData();
// This image file contains some text...
success = imageData.LoadFile("qa_data/jpg/text.jpg");
if (success !== true) {
console.log("Failed to load image file.");
return;
}
// Create the above JSON.
var json = new CkJsonObject();
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
var http = new CkHttp();
http.SessionLogFilename = "c:/aaworkarea/sessionLog.txt";
var sb = new CkStringBuilder();
var url = "https://vision.googleapis.com/v1/images:annotate?key=YOUR_API_KEY";
var resp = new CkHttpResponse();
success = http.HttpJson("POST",url,json,"application/json",resp);
if (success == false) {
console.log(http.LastErrorText);
return;
}
console.log("status = " + resp.StatusCode);
// A 200 response status indicate success.
if (resp.StatusCode !== 200) {
console.log(resp.BodyStr);
console.log("Failed.");
return;
}
var sbResponseBody = new CkStringBuilder();
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:
var i;
var count_i;
var fullTextAnnotationText;
var j;
var count_j;
var locale;
var description;
var k;
var count_k;
var x;
var y;
var width;
var height;
var languageCode;
var blockType;
var i1;
var count_i1;
var j1;
var count_j1;
var k1;
var count_k1;
var text;
var propertyDetectedBreakType;
var i2;
var count_i2;
var json1 = new CkJsonObject();
var json2 = new CkJsonObject();
i = 0;
count_i = json.SizeOfArray("responses");
while (i < count_i) {
json.I = i;
fullTextAnnotationText = json.StringOf("responses[i].fullTextAnnotation.text");
j = 0;
count_j = json.SizeOfArray("responses[i].textAnnotations");
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");
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;
}
j = j+1;
}
j = 0;
count_j = json.SizeOfArray("responses[i].fullTextAnnotation.pages");
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");
while (k < count_k) {
json.K = k;
languageCode = json.StringOf("responses[i].fullTextAnnotation.pages[j].property.detectedLanguages[k].languageCode");
k = k+1;
}
k = 0;
count_k = json.SizeOfArray("responses[i].fullTextAnnotation.pages[j].blocks");
while (k < count_k) {
json.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.I = i1;
languageCode = json1.StringOf("property.detectedLanguages[i].languageCode");
i1 = i1+1;
}
json.ObjectOf2("responses[i].fullTextAnnotation.pages[j].blocks[k]",json1);
i1 = 0;
count_i1 = json1.SizeOfArray("boundingBox.vertices");
while (i1 < count_i1) {
json1.I = i1;
x = json1.IntOf("boundingBox.vertices[i].x");
y = json1.IntOf("boundingBox.vertices[i].y");
i1 = i1+1;
}
json.ObjectOf2("responses[i].fullTextAnnotation.pages[j].blocks[k]",json1);
i1 = 0;
count_i1 = json1.SizeOfArray("paragraphs");
while (i1 < count_i1) {
json1.I = i1;
j1 = 0;
count_j1 = json1.SizeOfArray("paragraphs[i].property.detectedLanguages");
while (j1 < count_j1) {
json1.J = j1;
languageCode = json1.StringOf("paragraphs[i].property.detectedLanguages[j].languageCode");
j1 = j1+1;
}
j1 = 0;
count_j1 = json1.SizeOfArray("paragraphs[i].boundingBox.vertices");
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;
}
j1 = 0;
count_j1 = json1.SizeOfArray("paragraphs[i].words");
while (j1 < count_j1) {
json1.J = j1;
k1 = 0;
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].property.detectedLanguages");
while (k1 < count_k1) {
json1.K = k1;
languageCode = json1.StringOf("paragraphs[i].words[j].property.detectedLanguages[k].languageCode");
k1 = k1+1;
}
k1 = 0;
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].boundingBox.vertices");
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;
}
k1 = 0;
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].symbols");
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");
json1.ObjectOf2("paragraphs[i].words[j].symbols[k]",json2);
i2 = 0;
count_i2 = json2.SizeOfArray("property.detectedLanguages");
while (i2 < count_i2) {
json2.I = i2;
languageCode = json2.StringOf("property.detectedLanguages[i].languageCode");
i2 = i2+1;
}
json1.ObjectOf2("paragraphs[i].words[j].symbols[k]",json2);
i2 = 0;
count_i2 = json2.SizeOfArray("boundingBox.vertices");
while (i2 < count_i2) {
json2.I = i2;
x = json2.IntOf("boundingBox.vertices[i].x");
y = json2.IntOf("boundingBox.vertices[i].y");
i2 = i2+1;
}
k1 = k1+1;
}
j1 = j1+1;
}
i1 = i1+1;
}
k = k+1;
}
j = j+1;
}
i = i+1;
}
console.log("Success.");
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