JavaScript
JavaScript
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-text
Note
This example is intended for running within a Chilkat.Js embedded JavaScript engine. All Chilkat JavaScript examples require Chilkat
v11.4.0 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.");