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(Classic ASP) Google Cloud Vision Text DetectionDemonstrates 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.
<html> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> </head> <body> <% 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 = Server.CreateObject("Chilkat.BinData") ' This image file contains some text... success = imageData.LoadFile("qa_data/jpg/text.jpg") If (success <> 1) Then Response.Write "<pre>" & Server.HTMLEncode( "Failed to load image file.") & "</pre>" Response.End End If ' Create the above JSON. set json = Server.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 = Server.CreateObject("Chilkat.Http") http.SessionLogFilename = "c:/aaworkarea/sessionLog.txt" set sb = Server.CreateObject("Chilkat.StringBuilder") url = "https://vision.googleapis.com/v1/images:annotate?key=YOUR_API_KEY" set resp = Server.CreateObject("Chilkat.HttpResponse") success = http.HttpJson("POST",url,json,"application/json",resp) If (success = 0) Then Response.Write "<pre>" & Server.HTMLEncode( http.LastErrorText) & "</pre>" Response.End End If Response.Write "<pre>" & Server.HTMLEncode( "status = " & resp.StatusCode) & "</pre>" ' A 200 response status indicate success. If (resp.StatusCode <> 200) Then Response.Write "<pre>" & Server.HTMLEncode( resp.BodyStr) & "</pre>" Response.Write "<pre>" & Server.HTMLEncode( "Failed.") & "</pre>" Response.End End If set sbResponseBody = Server.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 = Server.CreateObject("Chilkat.JsonObject") set json2 = Server.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 Response.Write "<pre>" & Server.HTMLEncode( "Success.") & "</pre>" %> </body> </html> |
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