{"info":{"_postman_id":"89deac6e-5fae-40ad-8aba-45240e8c9006","name":"DaXtra Parser Integrations","description":"

\n
DaXtra Parser converts free form resumes and job orders (vacancies) in various file formats (DOC, DOCX, RTF, PDF, HTML, etc.) into a structured XML or JSON representation.
\n

DaXtra Parser is architected to run as a cloud or as an in-house service - using SOAP API, REST API or pre-built language-specific Integration packages which abstract over the integration layer of REST or SOAP.

Please note: DaXtra Parser supports authentication through the use of Secure Token.

Integration samples for various programming languages

Language-specific Integration packages
- .Net (C#, VB.NET)
- Java
\n
Integrations using REST API
- JavaScript
- VB6
- Perl
\n
Integrations using SOAP API
- PHP
- Ruby
- Perl
- Python
\n

\n","schema":"https://schema.getpostman.com/json/collection/v2.0.0/collection.json","toc":[],"owner":"6024079","collectionId":"89deac6e-5fae-40ad-8aba-45240e8c9006","publishedId":"S11PrGt4","public":true,"customColor":{"top-bar":"DDDDDD","right-sidebar":"303030","highlight":"EF5B25"},"publishDate":"2023-03-28T16:21:49.000Z"},"item":[{"name":"API calls","item":[],"id":"2858943a-5dd4-4c46-999d-84ce49d2e96b","description":"

Sends a resume for processing and receives back a string with structured XML/JSON representation.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

REST	SOAP	.Net	Java
/profile/full/json (POST) or /profile/full/xml (POST)	ProcessCV	ProcessCV	ProcessCV

In the first phase extract only personal and contact data, which is in general 50% faster than extraction of the full profile. Together with a personal and contact profile it returns a phase2_token which can be used to fetch the full profile.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

REST	SOAP	.Net	Java
/profile/personal/json (POST) or /profile/personal/xml (POST)	ProcessCVphase1	ProcessCVphase1	ProcessCVphase1
/data (GET)	ProcessCVphase2	ProcessCVphase2	ProcessCVphase2

Sends multiple documents (usually archived) to a DaXtra server. Then through consecutive calls it retrieves processing results until processing is finished.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

REST	SOAP	.Net	Java
/profile/batch/json (POST) or /profile/batch/xml (POST)	ProcessBatch	ProcessBatch	ProcessBatch
/data (GET)

Sends a job order for processing and receives back a string with structured XML/JSON representation.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

REST	SOAP	.Net	Java
/joborder/json (POST) or /joborder/xml (POST)	ProcessJobOrder	ProcessJobOrder	ProcessJobOrder

Restyles a resume into house style as specified by a DOCX template.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

REST	SOAP	.Net	Java
/styler (POST)	ReformatCV	ReformatCV	ReformatCV

Uploads house-style DOCX template to the DaXtra server.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

REST	SOAP	.Net	Java
/styler/template (POST)	InstallStylerTemplate	InstallStylerTemplate	InstallStylerTemplate

Retrieves house-style DOCX template from DaXtra server.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

REST	SOAP	.Net	Java
/styler/template (GET)	RetrieveStylerTemplate	RetrieveStylerTemplate	RetrieveStylerTemplate

Converts a document from one format such as DOC, DOCX, PDF, RTF, to another such as DOCX, HTML, TXT, PDF. Can be requested to convert in higher quality but slower.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

REST	SOAP	.Net	Java
/convert2html (POST)	Convert	Convert	Convert
/convert2html_q (POST)
/convert2docx (POST)
/convert2docx_q (POST)
/convert2pdf (POST)
/convert2pdf_q (POST)
/convert2rtf (POST)
/convert2rtf_q (POST)
/convert2txt (POST)
/convert2txt_q (POST)

Please note: \"_q\" calls convert with extra quality (slower).

\n","_postman_id":"2858943a-5dd4-4c46-999d-84ce49d2e96b"},{"name":"Language-specific Integration packages","item":[{"name":".Net","item":[{"name":".Net API","item":[],"id":"a74ff53e-a2cf-40f1-a182-c72e60fc6a76","description":"

\n
You can execute the following calls in the CVXtractorService package
\n

\n\n

/* CVXtractorService package calls */\n\npublic CVXtractorService(string service_url,\n                         string service_account,\n                         bool json_out)\n\npublic void setTimeout(int milliseconds)\n\npublic string getLastError()\n\npublic string ProcessCV(string file_to_process)\n\npublic string ProcessCV(byte [] file_content)\n\npublic string ProcessCVphase1(string file_to_process)\n\npublic string ProcessCVphase1(byte [] file_content)\n\npublic string ProcessCVphase2()\n\npublic string getPhase2Token() \n\npublic string ProcessJobOrder(string file_to_process)\n\npublic string ProcessJobOrder(byte [] file_content)\n\npublic string Convert(string file_to_process, string to)\n\npublic string Convert(byte [] file_content, string to)\n\nvoid waitToFinish(string async_call_id)\n\nvoid notWaitToFinish(string async_call_id)\n

\n\n

where

service_url -- string -- URL of a DaXtra Server
service_account -- string -- your user name allocated to you by DaXtra
json_out -- boolean -- true if output to be JSON otherwise output will be in XML
file_to_process -- string -- full path to a file you want to process
file_content -- byte array -- content of a file you want to process
to -- string -- one of: html, html_q, docx, docx_q, pdf, pdf_q, rtf, rtf_q, txt, txt_q

Please note: Convert calls with \"_q\" in to parameter convert with extra quality (slower).

\n","_postman_id":"a74ff53e-a2cf-40f1-a182-c72e60fc6a76"},{"name":"ProcessCV","item":[],"id":"e21c1b59-9b7f-45bc-8c7f-7a22cd5617c1","description":"

\n
Below is sample code for processing a resume
\n

C SHARP

/* Sample code for processing a resume */\n\nDaxtraServices.CVXtractorService CVX_Service = \n    new DaxtraServices.CVXtractorService(service_url, service_account, json_out);\nstring hrxml_profile = CVX_Service.ProcessCV(file_to_process);\n\n/* Serializing to JSON */\n\ndynamic json_profile = Newtonsoft.Json.JsonConvert.DeserializeObject(hrxml_profile);\nstring FormattedName = json_profile[\"Resume\"][\"StructuredResume\"][\"PersonName\"][\"FormattedName\"];\n

VB.NET

' Sample code for processing a resume\n\nDim CVX_Service As New DaxtraServices.CVXtractorService(service_url, service_account, json_out)\nDim hrxml_profile As String = CVX_Service.ProcessCV(file_to_process)\n

where

service_url -- string -- URL of a DaXtra Server
service_account -- string -- your user name allocated to you by DaXtra
json_out -- boolean -- true if output to be JSON otherwise output will be in XML
file_to_process -- string -- full path to a file you want to process
hrxml_profile -- string containing XML/JSON with structured fields or error

\n","_postman_id":"e21c1b59-9b7f-45bc-8c7f-7a22cd5617c1"},{"name":"Async mode","item":[],"id":"2b0129cc-d163-444f-b6a8-44ae7f9cf632","description":"

\n
You can call CVXtractorService in an async mode by supplying an on completion event handler
\n

C SHARP

//- Sample code to call CVXtractorService in an async mode\n\nCVX_Service.onProcessingFinished += processingFinishedHandler;\n\n//- 5 seconds timeout:\nCVX_Service.setTimeout(5000); \n\n//- instead of hrxml_profile the calls will return an async call id:\nstring async_call_id = CVX_Service.ProcessCV(file_to_process);\n\n//- error handling:\nif (async_call_id == null || async_call_id == \"\") \n{\n    Console.Out.WriteLine( CVX_Service.getLastError() );\n} else\n{\n    //-- you can wait for your call to complete:\n    CVX_Service.waitToFinish(async_call_id);      \n\n    //-- otherwise do this:\n    //CVX_Service.notWaitToFinish(async_call_id);\n}\n\nvoid processingFinishedHandler(Object sender, DaxtraServices.ProcessingFinishedEventArgs e)\n{\n    Console.Out.WriteLine(\"Received results from call \" + e.async_call_id);  \n    if (e.error==null)\n        Console.Out.WriteLine(e.result);\n    else Console.Out.WriteLine(e.error);\n}\n

\n","_postman_id":"2b0129cc-d163-444f-b6a8-44ae7f9cf632"},{"name":"ProcessCVphase1 and ProcessCVphase2","item":[],"id":"544c1506-d4cf-4e7b-8972-90a66ee7bc6f","description":"

\n
You can also execute a two-phased call.
\n
Unlike ProcessCV, a ProcessCVphase1 call extracts only personal and contact data (which is about 50% faster) and at the same time extraction of the full profile is initiated.
\n
This full profile can subsequently be retrieved through a ProcessCVphase2 call.
\n

Pleqase note: The ProcessCVphase2 call should be made as soon as possible after the ProcessCVphase1 call.

C SHARP

/* Sample code to call ProcessCVphase1 and ProcessCVphase2 calls */\n\nDaxtraServices.CVXtractorService CVX_Service = \n    new DaxtraServices.CVXtractorService(service_url, service_account, json_out);\n\n/* call to extract only personal data -- faster than full profile */\nstring hrxml_profile_pers_only = CVX_Service.ProcessCVphase1(file_to_process);\n\nif (hrxml_profile_pers_only==\"\" || CVX_Service.getLastError() != \"\")\n{\n    /* !! handle error and exit !! */\n    Console.Error.WriteLine(\"Error at processing :: \" + CVX_Service.getLastError());\n    System.Environment.Exit(1);\n}\n\n/* !! do something useful with personal data profile !! */\n\n/* call to fetch full profile */\nstring hrxml_profile = CVX_Service.ProcessCVphase2();\n

VB.NET

' Sample code to call ProcessCVphase1 and ProcessCVphase2 calls\n\nDim CVX_Service As New DaxtraServices.CVXtractorService(service_url, service_account, json_out)\n\n' call to extract only personal data -- faster than full profile\nDim hrxml_profile_pers_only As String = CVX_Service.ProcessCVphase1(file_to_process)\n\n' !! do something useful with personal data profile \n\n'  call to fetch full profile\nDim hrxml_profile As String = CVX_Service.ProcessCVphase2()\n

where

service_url -- string -- URL of a DaXtra Server
service_account -- string -- your user name allocated to you by DaXtra
json_out -- boolean -- true if output to be JSON otherwise output will be in XML
file_to_process -- string -- full path to a file you want to process
hrxml_profile_pers_only -- string containing XML/JSON with structured fields or error
hrxml_profile -- string containing XML/JSON with structured fields or error

\n","_postman_id":"544c1506-d4cf-4e7b-8972-90a66ee7bc6f"},{"name":"ProcessJobOrder","item":[],"id":"ae413460-7904-419d-b3b9-75879e7236b8","description":"

\n
Below is sample code for processing a vacancy file
\n

C SHARP

/* Sample code for processing a job order */\n\nDaxtraServices.CVXService CVX_Service = \n    new DaxtraServices.CVXtractorService(service_url, service_account, json_out);\nstring vac_profile = CVX_Service.ProcessJobOrder(file_to_process);\n

VB.NET

' Sample code for processing a job order\n\nDim CVX_Service As New DaxtraServices.CVXtractorService(service_url, service_account, json_out)\nDim vac_profile As String = CVX_Service.ProcessJobOrder(file_to_process)\n

where

service_url -- string -- URL of a DaXtra Server
service_account -- string -- your user name allocated to you by DaXtra
json_out -- boolean -- true if output to be JSON otherwise output will be in XML
file_to_process -- string -- full path to a file you want to process
vac_profile -- string containing XML/JSON with structured fields or error

\n","_postman_id":"ae413460-7904-419d-b3b9-75879e7236b8"}],"id":"0deb7fca-8cba-46f8-ac9f-fa4b6101ca62","description":"

\n
Microsoft .NET Integration is built on top of our REST API and uses gzip compression on both request and response.
\n

Download CVXtractorService.cs - this is a library which provides you with access to the DaxtraServices.CVXtractorService object.
In Microsoft Visual Studio .Net create a C# or VB.NET Application Project (Windows Application/Console Application, etc.)
Make sure that your target framework for the project is .NET Framework 4.5 or above. This can be set in \"Project Properties\" -> \"Application\".
Add CVXtractorService.cs to your project.

Please note: You can build ASP.NET Web Applications and .NET Web Services through adding CVXtractorService.dll to Project References.

\n","_postman_id":"0deb7fca-8cba-46f8-ac9f-fa4b6101ca62"},{"name":"Java","item":[{"name":"Java API","item":[],"id":"b3f4767b-d5a8-4cea-8ddb-0d6fd58cbce2","description":"

\n
You can execute the following calls in the CVXtractorService package
\n

/* CVXtractorService package calls */\n\npublic CVXtractorService(java.lang.String service_url,\n                         java.lang.String service_account,\n                         java.lang.boolean json_out)\n\npublic java.lang.String getLastError()\n\npublic java.lang.String ProcessCV(java.lang.String file_to_process)\n\npublic java.lang.String ProcessCV(java.lang.Byte [] file_content)\n\npublic java.lang.String ProcessCVphase1(java.lang.String file_to_process)\n\npublic java.lang.String ProcessCVphase1(java.lang.Byte [] file_content)\n\npublic java.lang.String ProcessCVphase2()\n\npublic java.lang.String getPhase2Token()\n\npublic java.lang.String ProcessJobOrder(java.lang.String file_to_process)\n\npublic java.lang.String ProcessJobOrder(java.lang.Byte [] file_content)\n\npublic java.lang.String Convert(java.lang.String file_to_process, java.lang.String to)\n\npublic java.lang.String Convert(java.lang.Byte [] file_content, java.lang.String to)\n

where

service_url -- string -- URL of a DaXtra Server
service_account -- string -- your user name allocated to you by DaXtra
json_out -- boolean -- true if output to be JSON otherwise output will be in XML
file_to_process -- string -- full path to a file you want to process
file_content -- byte array -- content of a file you want to process
to -- string -- one of: html, html_q, docx, docx_q, pdf, pdf_q, rtf, rtf_q, txt, txt_q

Please note: Convert calls with \"_q\" in to parameter convert with extra quality (slower).

\n","_postman_id":"b3f4767b-d5a8-4cea-8ddb-0d6fd58cbce2"},{"name":"ProcessCV","item":[],"id":"06f6f088-e179-46e2-bbed-eeb99c03d9de","description":"

\n
Below is sample code for processing a resume
\n

/* Sample code for processing a resume */\n\nCVXtractorService CVX_Service = new CVXtractorService(service_url, service_account, json_out);            \nString hrxml_profile = CVX_Service.ProcessCV(file_to_process);\n\nif (hrxml_profile == \"\") {\n    System.err.println(\"Error at processing :: \" + CVX_Service.getLastError()); \n}\nelse {\n    System.out.println(hrxml_profile);\n}\n

where

service_url -- string -- URL of a DaXtra Server
service_account -- string -- your user name allocated to you by DaXtra
json_out -- boolean -- true if output to be JSON otherwise output will be in XML
file_to_process -- string -- full path to a file you want to process
hrxml_profile -- string containing XML/JSON with structured fields or error

\n","_postman_id":"06f6f088-e179-46e2-bbed-eeb99c03d9de"},{"name":"ProcessCVphase1 and ProcessCVphase2","item":[],"id":"d585f8aa-6625-457d-a2f5-1f29f7ae5512","description":"

\n
You can also execute a two-phased call.
\n
Unlike ProcessCV, a ProcessCVphase1 call extracts only personal and contact data (which is about 50% faster) and at the same time extraction of the full profile is initiated.
\n
This full profile can subsequently be retrieved through a ProcessCVphase2 call.
\n

Pleqase note: The ProcessCVphase2 call should be made as soon as possible after the ProcessCVphase1 call.

/* Sample code to call ProcessCVphase1 and ProcessCVphase2 calls */\n\nCVXtractorService CVX_Service = new CVXtractorService(service_url, service_account, json_out);            \n\n/* call to extract only personal data -- faster than full profile */\n\nString hrxml_profile_pers_only = CVX_Service.ProcessCVphase1(file_to_process);\nif (hrxml_profile_pers_only == \"\") {\n    System.err.println(\"Error at processing personal data:: \" + CVX_Service.getLastError()); \n    System.exit(1); \n}\n/* !! do something useful with personal data profile !! */\n\n/* call to fetch full profile */\n\nString hrxml_profile = CVX_Service.ProcessCVphase2();\nif (hrxml_profile == \"\") {\n    System.err.println(\"Error at processing full profile:: \" + CVX_Service.getLastError()); \n    System.exit(1); \n}\n/* !! do something useful with full profile !! */\n

where

service_url -- string -- URL of a DaXtra Server
service_account -- string -- your user name allocated to you by DaXtra
json_out -- boolean -- true if output to be JSON otherwise output will be in XML
file_to_process -- string -- full path to a file you want to process
hrxml_profile_pers_only -- string containing XML/JSON with structured fields or error
hrxml_profile -- string containing XML/JSON with structured fields or error

\n","_postman_id":"d585f8aa-6625-457d-a2f5-1f29f7ae5512"},{"name":"ProcessJobOrder","item":[],"id":"e0782936-0adf-4037-bb42-944cdfbda131","description":"

\n
Below is sample code for processing a vacancy file
\n

/* Sample code for processing a job order */\n\nCVXtractorService CVX_Service = new CVXtractorService(service_url, service_account, json_out);            \nString vac_profile = CVX_Service.ProcessJobOrder(file_to_process);\n\nif (vac_profile == \"\") {\n    System.err.println(\"Error at processing :: \" + CVX_Service.getLastError()); \n}\nelse {\n    System.out.println(vac_profile);\n}\n

where

service_url -- string -- URL of a DaXtra Server
service_account -- string -- your user name allocated to you by DaXtra
json_out -- boolean -- true if output to be JSON otherwise output will be in XML
file_to_process -- string -- full path to a file you want to process
vac_profile -- string containing XML/JSON with structured fields or error

\n","_postman_id":"e0782936-0adf-4037-bb42-944cdfbda131"}],"id":"6c402ec1-ac30-43ad-8ce2-f23bcab85dcd","description":"

\n
Java CVXService integration is built on top of our REST API and uses gzip compression on both request and response.
\n

Download CVXtractorService.java - this is a file which provides you with access to a CVXtractorService object.
\n
Compile CVXtractorService.java to produce CVXtractorService.class:
\n

javac ./CVXtractorService.java\n

Test:

java -cp \".\" CVXtractorService -host service_url -id service_account -a process file_to_process\n

where

service_url -- string -- URL of a DaXtra Server
service_account -- string -- your user name allocated to you by DaXtra
file_to_process -- string -- full path to a file you want to process

output

hrxml_profile -- string containing XML/JSON with structured fields or error

\n","_postman_id":"6c402ec1-ac30-43ad-8ce2-f23bcab85dcd"}],"id":"81fa5055-167f-43e2-8ff6-ba4915d14d3c","_postman_id":"81fa5055-167f-43e2-8ff6-ba4915d14d3c","description":""},{"name":"Integrations using REST API","item":[{"name":"JavaScript","item":[{"name":"POST /profile/full/json","item":[],"id":"b5de7f1a-823a-4374-a1b3-b6119452564f","description":"

\n
Here is a JavaScript example of a REST API call POST /profile/full/json.
\n
We will be using the multipart/form-data POST style by using a FormData object.
\n

Please note:: Since this script is visible to the general public, instead of an account name we will be using a Secure Token valid only for a single processing.

//-- example of a REST API call POST /profile/full/json\n\n<input type='file' id='my_file_upload_id' /> \n<input type='button' value='Send to CVX' \n    onclick='handle_file_upload_field(\"my_file_upload_id\")'/>\n\n<script type=\"text/javascript\">\n\n//-- or any other DaXtra server:\nvar CVX_SERVER=\"http://cvx.daxtra.com\";\n\n//--  Secure Token provided by DaXtra:\nvar CVX_SECURE_TOKEN=\"XXXXXXX\";\n\n//-- function which is fired when button \"Send to CVX\" is clicked:\nfunction handle_file_upload_field(file_upload_id) \n{\n    var fileInput = document.getElementById(file_upload_id)\n    var file = fileInput.files[0];\n\n    var formData = new FormData();\n    formData.append(\"file\", file);\n\n//-- add turbo processing option:\n    formData.append(\"account\", CVX_SECURE_TOKEN + \"; -turbo\"); \n  \n    var xhr = prepare_xhr(my_cvx_return_handler);\n    xhr.open(\"POST\", CVX_SERVER +\"/cvx/rest/api/v1/profile/full/json\");\n    xhr.send(formData);\n}\n\nfunction prepare_xhr(handler)\n{\n    var xhr = new XMLHttpRequest();\n    xhr.onreadystatechange = function(e) {\n        var resp_text; \n        if (xhr.readyState!=4) { return; }\n        if (xhr.readyState==4 && xhr.status==200)\n        {      \n            handler(this.responseText);\n        }\n        else {\n            var ret_string;\n//-- errors generated by CVX:\n            if (this.responseText.match(/^{/)) {\n                ret_string = this.responseText;\n            }\n            else {\n//-- other errors are represented as JSON with status 999:\n                ret_string = '{\"CSERRROR\":{\"message\":\"' + xhr.statusText + '\", \"code\": 999}}';\n            }\n            handler(ret_string, xhr.status);\n        }\n    };\n   return xhr;\n}\n\nfunction my_cvx_return_handler(json_response, error_code)\n{\n    var profile_json = JSON.parse(json_response)\n    if (error_code || profile_json.CSERROR) {\n        //-- report error\n    }\n    else if (profile_json.StructuredResume) {\n        //-- do something with profile_json, which contains all extracted data\n    }\n}\n</script>\n

\n","_postman_id":"b5de7f1a-823a-4374-a1b3-b6119452564f"},{"name":"POST /profile/personal/json and GET /data","item":[],"id":"eb931c3e-862e-422e-92cd-9684e95c927c","description":"

\n
Here is a JavaScript example of a REST API call POST /profile/personal/json, which takes less time than full profile extraction, so personal data can be put in a web form for a quicker response.
\n
We will be using the application/json POST style.
\n
After receiving personal data we will follow with a GET /data API call which will bring back the full profile.
\n

Please note: Since this script is visible to the general public, instead of an account name we will be using a Secure Token valid only for a single processing.

//-- example of a REST API calls POST /profile/personal/json and GET /data\n\n<input type='file' id='my_file_upload_id'  /> \n<input type='button' value='Send to CVX' \n    onclick='handle_file_upload_field(\"my_file_upload_id\")'/>\n\n<script type=\"text/javascript\">\n//-- or any other DaXtra server:\nvar CVX_SERVER=\"http://cvx.daxtra.com\"; \n\n//--  Secure Token provided by DaXtra:\nvar CVX_SECURE_TOKEN=\"XXXXXXX\";   \n\nfunction handle_file_upload_field(file_upload_id) \n{\n    var fileInput = document.getElementById(file_upload_id)\n    var file = fileInput.files[0];\n\n    var reader  = new FileReader();\n    reader.onload = function(e) {\n        var content = reader.result;\n//- delete header / leave only content:\n        content = content.replace(/^.*;base64,/, \"\"); \n//-- add turbo processing option:\n        var account_str = daxtra_cvx.account + '; -turbo'; \n        var jsonData = {account: account_str, file: content};\n        var xhr = prepare_xhr(my_cvx_return_handler_phase1);\n        xhr.open(\"POST\", CVX_SERVER +\"/cvx/rest/api/v1/profile/personal/json\");\n        xhr.setRequestHeader(\"Content-type\", \"application/json\");\n        xhr.send(JSON.stringify(jsonData));\n        delete xhr;\n    };\n//-- Base64-encoded:\n    reader.readAsDataURL(file); \n}\n\nfunction prepare_xhr(handler)\n{\n    var xhr = new XMLHttpRequest();\n    xhr.onreadystatechange = function(e) {\n        var resp_text; \n        if (xhr.readyState!=4) { return; }\n        if (xhr.readyState==4 && xhr.status==200)\n        {      \n            handler(this.responseText);\n        }\n        else {\n            var ret_string;\n//-- errors generated by CVX:\n            if (this.responseText.match(/^{/)) { \n                ret_string = this.responseText;\n            }\n            else {\n//-- other errors are represented as JSON with status 999:\n                ret_string = '{\"CSERRROR\":{\"message\":\"' + xhr.statusText + '\", \"code\": 999}}';\n            }\n            handler(ret_string, xhr.status);\n        }\n    };\n    return xhr;\n}\n\nfunction my_cvx_return_handler_phase1(json_response, error_code)\n{\n    var profile_json = JSON.parse(json_response)\n    if (error_code || profile_json.CSERROR) {\n        //-- report error\n        return;\n    }\n    else if (profile_json.StructuredResume) {\n        //-- do something with profile_json, which contains\n        //-- only personal data: name and contact details\n    }\n\n//-- get full profile:\n    if (profile_json.phase2_token)\n    {\n        var xhr = prepare_xhr(my_cvx_return_handler_phase2);\n        xhr.open(\"GET\", CVX_SERVER +\"/cvx/rest/api/v1/data\"\n                + \"?token=\" + profile_json.phase2_token)\n        xhr.send()\n    }\n}\n\nfunction my_cvx_return_handler_phase2(json_response, error_code)\n{\n    var profile_json = JSON.parse(json_response)\n    if (error_code || profile_json.CSERROR) {\n        //-- report error\n    }\n    else if(profile_json.StructuredResume) {\n        //-- do something with profile_json, which contains all extracted data\n    }\n}\n

\n","_postman_id":"eb931c3e-862e-422e-92cd-9684e95c927c"},{"name":"POST /joborder/json","item":[],"id":"b9f759c3-50cd-41c9-bf67-74b4f58afe8d","description":"

\n
Here is a JavaScript example of a REST API call POST /joborder/json.
\n
We will be using the multipart/form-data POST style by using a FormData object.
\n

//-- example of a REST API call POST /joborder/json\n\n<input type='file' id='my_file_upload_id'/>\n<input type='button' value='Send to CVX' onclick='handle_file_upload_field(\"my_file_upload_id\")'/>\n\n<script type=\"text/javascript\">\n\nvar CVX_SERVER=\"http://cvx.daxtra.com\"; //- or any other DaXtra server\nvar account = \"account_name\";\n\n//-- function which is fired when button \"Send to CVX\" is clicked:\nfunction handle_file_upload_field(file_upload_id)\n{\n    var fileInput = document.getElementById(file_upload_id);\n    var file = fileInput.files[0];\n\n    var formData = new FormData();\n    formData.append(\"file\", file);\n    formData.append(\"account\", account);\n\n    var xhr = prepare_xhr(my_cvx_return_handler);\n    xhr.open(\"POST\", CVX_SERVER +\"/cvx/rest/api/v1/joborder/json\");\n    xhr.send(formData);\n}\n\nfunction prepare_xhr(handler)\n{\n    var xhr = new XMLHttpRequest();\n    xhr.onreadystatechange = function(e) {\n        var resp_text;\n        if (xhr.readyState!=4) { return; }\n        if (xhr.readyState==4 && xhr.status==200)\n        {\n            handler(this.responseText);\n        }\n        else {\n            var ret_string;\n            if(this.responseText.match(/^{/)) {  //-- errors generated by CVX\n                ret_string = this.responseText;\n            }\n            else {\n                //-- other errors are represented as JSON with status 999:\n                ret_string = '{\"CSERRROR\":{\"message\":\"' + xhr.statusText + '\", \"code\": 999}}';\n            }\n            handler(ret_string, xhr.status);\n        }\n    };\n    return xhr;\n}\n\nfunction my_cvx_return_handler(json_response, error_code)\n{\n    var profile_json = JSON.parse(json_response)\n    if(error_code || profile_json.CSERROR){\n        //-- report error\n    }\n    else if(profile_json.StructuredResume) {\n        //-- do something with profile_json, which contains all extracted data\n    }\n}\n</script>\n

\n","_postman_id":"b9f759c3-50cd-41c9-bf67-74b4f58afe8d"},{"name":"POST /list/screenout and POST /list/skills","item":[],"id":"56d6068b-4a76-4173-a3eb-b45c9659920a","description":"

\n
Here is a JavaScript example of a REST API calls POST /list/screenout and POST /list/skills.
\n
We will be using the multipart/form-data POST style by using a FormData object.
\n

//-- example of a REST API calls POST /list/screenout and POST /list/skills\n\nAccount: <input type='text' id='screenout_account_name'/></br>\nScreenout File: <input type='file' id='my_screenout_file_upload_id'  /></br>\n<input type='button' value='install_screenout' \n    onclick='handle_file_upload_field_screenout(\"my_screenout_file_upload_id\", \"screenout_account_name\")'/></br>\n\nAccount: <input type='text' id='skills_account_name'/></br>\nSkills File: <input type='file' id='my_skills_file_upload_id'  /></br>\n<input type='button' value='install_skills' \n    onclick='handle_file_upload_field_skills(\"my_skills_file_upload_id\", \"skills_account_name\")'/>\n\n<script type=\"text/javascript\">\n\n//-- or any other DaXtra server:\nvar CVX_SERVER=\"http://cvx.daxtra.com\"; \n\n//-- function which is fired when button \"install_screenout\" is clicked\nfunction handle_file_upload_field_screenout(file_upload_id, account_name)\n{\n    var fileInput = document.getElementById(file_upload_id)\n    var file = fileInput.files[0];\n    var account = document.getElementById(account_name).value;\n\n    var formData = new FormData();\n    formData.append(\"file\", file);\n    formData.append(\"account\", account);\n\n    var xhr = prepare_xhr(my_cvx_return_handler);\n    xhr.open(\"POST\", CVX_SERVER +\"/cvx/rest/api/v1/list/screenout\");\n    xhr.send(formData);\n}\n\n//-- function which is fired when button \"install_skills\" is clicked\nfunction handle_file_upload_field_skills(file_upload_id, account_name)\n{\n    var fileInput = document.getElementById(file_upload_id)\n    var file = fileInput.files[0];\n    var account = document.getElementById(account_name).value;\n\n    var formData = new FormData();\n    formData.append(\"file\", file);\n    formData.append(\"account\", account);\n\n    var xhr = prepare_xhr(my_cvx_return_handler);\n    xhr.open(\"POST\", CVX_SERVER +\"/cvx/rest/api/v1/list/skills\");\n    xhr.send(formData);\n}\n\nfunction my_cvx_return_handler(resp_text, error_code)\n{\n    if (error_code){\n        //-- report error\n    }\n    else if (resp_text) {\n        //-- do something with resp_text which contains screenout/skill list(s)\n    }\n}\n\nfunction prepare_xhr(handler)\n{\n    var xhr = new XMLHttpRequest();\n    xhr.onreadystatechange = function(e) {\n        var resp_text;\n        if (xhr.readyState!=4) { return; }\n        if (xhr.readyState==4 && xhr.status==200)\n        {\n            handler(this.responseText);\n        }\n        else {\n            var ret_string;\n            //-- errors represent as json with status 999\n            ret_string = '{\"CSERRROR\":{\"message\":\"' + xhr.statusText + '\", \"code\": 999}}';\n            handler(ret_string, xhr.status);\n        }\n    };\n    return xhr;\n}\n</script>\n

\n","_postman_id":"56d6068b-4a76-4173-a3eb-b45c9659920a"},{"name":"GET /list/screenout and GET /list/skills","item":[],"id":"3b1d5f10-0713-4f59-9dc2-a68fae712c7b","description":"

\n
Here is a JavaScript example of a REST API calls GET /list/screenout and GET /list/skills.
\n
We will be using the application/json POST style.
\n

//-- example of a REST API calls GET /list/screenout and GET /list/skills\n\n<input type='text' id='screenout_account_name'/>\n<input type='button' value='get_screenout' onclick='retrieve_screenout(\"screenout_account_name\")'/></br>\n\n<input type='text' id='skills_account_name'/>\n<input type='button' value='get_skills' onclick='retrieve_skills(\"skills_account_name\")'/>\n\n<script type=\"text/javascript\">\n\nvar CVX_SERVER=\"http://cvx.daxtra.com\"; //- or any other DaXtra server\n\n//-- function which is fired when button \"get_screenout\" is clicked\nfunction retrieve_screenout(account_name) \n{\n    var account = document.getElementById(account_name).value;\n    var url = CVX_SERVER + \"/cvx/rest/api/v1/list/screenout&account=\" + account;\n    document.write(url + \"</br>\");\n\n    var xhr = prepare_xhr(my_return_handler);\n    xhr.open(\"GET\", url, false);\n    xhr.send( null );\n}\n\n//-- function which is fired when button \"get_skills\" is clicked\nfunction retrieve_skills(account_name) \n{\n    var account = document.getElementById(account_name).value;\n    var url = CVX_SERVER + \"/cvx/rest/api/v1/list/skills&account=\" + account;\n    document.write(url + \"</br>\");\n\n    var xhr = prepare_xhr(my_return_handler);\n    xhr.open(\"GET\", url, false);\n    xhr.send( null );\n}\n\nfunction my_return_handler(resp_text, error_code)\n{  \n    if (error_code) {\n        //-- report error\n    }\n    else if(resp_text) {\n        //-- do something with resp_text which contains screenout/skill list(s)\n    }\n}\n\nfunction prepare_xhr(handler)\n{\n    var xhr = new XMLHttpRequest();\n    xhr.onreadystatechange = function(e) {\n        var resp_text;\n        if (xhr.readyState!=4) { return; }\n        if (xhr.readyState==4 && xhr.status==200)\n        {\n            handler(this.responseText);\n        }\n        else {\n            var ret_string;\n            //-- errors represent as json with status 999\n            ret_string = '{\"CSERRROR\":{\"message\":\"' + xhr.statusText + '\", \"code\": 999}}';\n            handler(ret_string, xhr.status);\n        }\n    };\n    return xhr;\n}\n</script>\n

\n","event":[{"listen":"prerequest","script":{"id":"ff373726-6bb1-442b-a71e-b49b3017d017","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"8fe4dbed-f8aa-45a9-9a32-c4e4ceaa933e","type":"text/javascript","exec":[""]}}],"_postman_id":"3b1d5f10-0713-4f59-9dc2-a68fae712c7b"},{"name":"POST /styler","item":[],"id":"e51e0c3b-8cca-4407-a354-07b834ff0374","description":"

\n
Here is a JavaScript example of a REST API call POST /styler.
\n
We will be using the multipart/form-data POST style by using a FormData object.
\n

//-- example of a REST API call POST /styler\n\nAccount: <input type='text' id='account_name'/></br>\nTemplate: <input type='text' id='template'/></br>\nFile: <input type='file' id='my_file_upload_id'/></br>\nHRXML: <input type='file' id='my_hrxml_file_upload_id'/></br>\n<input type='button' value='ReformatCV' \n    onclick='handle_file_upload_styler(\"my_file_upload_id\", \"account_name\", \"template\", \"my_hrxml_file_upload_id\")'/>\n\n<script type=\"text/javascript\">\n\nvar CVX_SERVER=\"http://cvx.daxtra.com\"; //- or any other DaXtra server\n\n//-- function which is fired when button \"ReformatCV\" is\nfunction handle_file_upload_styler(file_upload_id, account_name, template, hrxml_file_upload_id)\n{\n    var fileInput = document.getElementById(file_upload_id)\n    var file = fileInput.files[0];\n    var account = document.getElementById(account_name).value;\n    var template = document.getElementById(template).value;\n    var hrxml_fileInput = document.getElementById(hrxml_file_upload_id)\n    var hrxml_file = hrxml_fileInput.files[0];\n\n    var formData = new FormData();\n    formData.append(\"file\", file);\n    formData.append(\"account\", account);\n    formData.append(\"template\", template);\n    if (hrxml_file_upload_id) {\n        formData.append(\"hrxml\", hrxml_file);\n    }\n\n    var xhr = prepare_xhr(my_return_handler);\n    xhr.open(\"POST\", CVX_SERVER +\"/cvx/rest/api/v1/styler\");\n    xhr.send(formData);\n}\n\nfunction prepare_xhr(handler)\n{\n    var xhr = new XMLHttpRequest();\n    xhr.onreadystatechange = function(e) {\n        var resp_text;\n        if (xhr.readyState!=4) { return; }\n        if (xhr.readyState==4 && xhr.status==200)\n        {\n            handler(this.responseText);\n        }\n        else {\n            var ret_string;\n            //-- errors represent as json with status 999\n            ret_string = '{\"CSERRROR\":{\"message\":\"' + xhr.statusText + '\", \"code\": 999}}';\n            handler(ret_string, xhr.status);\n        }\n    };\n    return xhr;\n}\n\nfunction my_return_handler(resp_doc, error_code)\n{\n    if(error_code){\n        //-- report error\n    }\n    else if(resp_doc) {\n        //-- do something with reformatted resp_doc\n    }\n}\n</script>\n

\n","_postman_id":"e51e0c3b-8cca-4407-a354-07b834ff0374"}],"id":"48ba714e-427a-4a8e-a61d-ad64bf6ad7a3","event":[{"listen":"prerequest","script":{"id":"9fe44eb5-4b29-4243-8b45-ee435e659515","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"87de1dbd-0da9-4811-966a-4ea5c8be9421","type":"text/javascript","exec":[""]}}],"_postman_id":"48ba714e-427a-4a8e-a61d-ad64bf6ad7a3","description":""},{"name":"VB6","item":[{"name":"POST /profile/full/xml","item":[],"id":"e9c2c6a5-c7c4-410d-964e-838a90f2ac1b","description":"

\n
Here is an example of a REST API call POST /profile/full/xml to the DaXtra Server from VB6 (ASP code is very similar).
\n
The data transfer mechanism is text/xml POST style -- XML string in POST body
\n

' example of a REST API call POST /profile/full/xml\n\nPublic Function processCV(ByVal service_url As String, _\n                        ByVal service_account As String, _\n                        ByVal file_to_process As String) As String\n    On Error GoTo err_handler\n  \n    '--- read file into Base64 string -----------\n    doc_content = ReadBinFileAsBase64(file_to_process)\n   \n    '---- prepare XML item for posting -------------------------\n    http_request = \"<Request><account>\" & service_account & \"</account>\"\n    http_request = http_request & \"<file>\" & doc_content & \"</file></Request>\"\n\n    '----------- execute (POST) API call with data ------------------\n    Dim xmlReq As Object\n    Set xmlReq = CreateObject(\"Microsoft.XMLHTTP\")\n    xmlReq.Open  \"POST\", \"http://\" & service_url & \"/cvx/rest/api/v1/profile/full/xml\", False\n    xmlReq.setRequestHeader \"Content-Type\", \"text/xml\"\n    xmlReq.setRequestHeader \"Connection\", \"close\"\n    xmlReq.send (http_request)\n\n    '----- get the results ----------------------\n    If (xmlReq.Status >= 200 And xmlReq.Status < 300) Then  ' -- SUCCESS\n        txtResponseHeaders = xmlReq.getAllResponseHeaders\n        processCV = xmlReq.responseText    \n    Else\n        processCV = \"ERROR: Request Failed with status \" & xmlReq.Status & vbCrLf\n        processCV = processCV & xmlReq.responseText\n    End If\n    Exit Function\n  \nerr_handler:\n    If Err.Number <> 0 Then processCV = \"Error \" & Err.Number & \": \" & Err.Description\nEnd Function\n\nPrivate Function ReadBinFileAsBase64(sFile As String) As String\n    Dim binFileArray() As Byte\n    binFileArray() = ReadBinFile(sFile)\n    ReadBinFileAsBase64 = EncodeBase64(binFileArray)\nEnd Function\n\nPrivate Function ReadBinFile(sFile As String) As Byte()\n    Dim nFile As Integer\n\n    nFile = FreeFile\n    Open sFile For Binary Access Read As #nFile\n    If LOF(nFile) > 0 Then\n        ReDim ReadBinFile(0 To LOF(nFile) - 1)\n        Get nFile, , ReadBinFile\n    End If\n    Close #nFile\nEnd Function\n\nPrivate Function EncodeBase64(ByRef arrData() As Byte) As String   \n    Dim objXML As Object\n    Set objXML = CreateObject(\"MSXML2.DOMDocument\")\n    Dim objNode As Object\n      \n    ' byte array to base64\n    Set objNode = objXML.createElement(\"b64\")\n    objNode.dataType = \"bin.base64\"\n    objNode.nodeTypedValue = arrData\n    EncodeBase64 = objNode.Text\n \n    Set objNode = Nothing\n    Set objXML = Nothing\nEnd Function\n

\n","_postman_id":"e9c2c6a5-c7c4-410d-964e-838a90f2ac1b"}],"id":"24d4ea37-c6bc-4ef2-9e0e-2a1fde808c0a","_postman_id":"24d4ea37-c6bc-4ef2-9e0e-2a1fde808c0a","description":""},{"name":"Perl","item":[{"name":"Install Skills file, Screenout file or Styler template on Load-balancer","item":[],"id":"b492489f-beb9-41a2-bb5a-afca00810fbc","description":"

\n
Install Skills file (‡), Screenout file or Styler template (‡) for customers on one of our centrally-hosted, load-balanced parsing rings
\n

(‡) There is a slightly different process to Install Skills file or Styler template, example calls will be updated soon.

For Daxtra support to get a customer an account-specific token
\n

Example of API calls to get a customer an account-specific token.

#-- example of API calls to get a customer an account-specific token\n\nmy $ua = LWP::UserAgent->new();\nmy $cookie_jar = HTTP::Cookies->new();\n$ua->cookie_jar($cookie_jar);\n\n$req = HTTP::Request->new(\n    \"GET\",\n    \"https://v2.daxtra.io/login/yubi/{{YUBIKEY}}\",\n);\n$resp = $ua->request($req);\n\n$req = HTTP::Request->new(\n    \"GET\",\n    \"https://v2.daxtra.io/cvx/accounts/{{ACCOUNT}}/token\",\n);\n$resp = $ua->request($req);\n

If done correctly, the response that comes back from the second request should return an account-specific token for a customer, similar to that:

{\"ok\":\"90706a23-0183-4345-b977-e1d68d1f8b74\"}\n

Please note: You can only get a customer token once! After that you need to save it safely.

For a customer to install Screenout file
\n

First, the Screenout file must be added to a tar archive with bzip2 encoding as shown below.

Please note: The Screenout file must be named \"screenout.lst\" and must be present in the root folder of the archive.

This section of code handles both of these requirements and referes to a Screenout file.

my $input_file = '/path/to/screenout/file';\n\nmy $archive = Archive::Tar->new();\n$archive->add_files($input_file);\n$archive->rename($input_file, 'screenout.lst');\n$archive->write(\"$input_file.tar.bzip2\", COMPRESS_BZIP);\n

Once the archive file has been created, it must be base64 encoded as shown below.

Please note: One important detail about this step is the base64 encoded string cannot contain any new line characters or other whitespace.

my $tarBz2Base64 = encode_base64(read_file(\"$input_file.tar.bzip2\"), '');\n

Next, a user agent must be created with a cookie jar, which will be used for two calls - one to authenticate the user agent with an API token that is specific to each account, and one to upload the base64 encoded archive.

#-- example of API call to connect to a customer's account on load-balancer\n\nmy $ua = LWP::UserAgent->new();\nmy $cookie_jar = HTTP::Cookies->new(\n    file           => \"/tmp/cookies\",\n    autosave       => 1,\n    ignore_discard => 1,\n);\n$ua->cookie_jar( $cookie_jar );\n\n$req = HTTP::Request->new(\n    \"GET\",\n    \"https://v2.daxtra.io/login/account/{{ACCOUNT}}/$MY_TOKEN\",\n);\n$resp = $ua->request($req);\n

Once the user agent has been authenticated, the Screenout file can be uploaded as shown below:

#-- example of API call to upload Screenout file to load-balancer\n\nmy $response = $ua->post(\"https://v2.daxtra.io/cvx/accounts/{{ACCOUNT}}/screenout\",\n    Content_Type => 'application/json',\n    Content => \"{ \\\"tarBz2Base64\\\": \\\"$tarBz2Base64\\\" }\"\n)->content;\n\nprint \"$response\\n\";\n

If done correctly, the response that comes back from the second request should be printed as:

{\"ok\": \"ok\"}\n

Please note: It might take some time for the uploaded file to be pushed out to all of the instances that are running on the balancer.

\n","event":[{"listen":"prerequest","script":{"id":"30346c49-7d4b-427b-ab0d-55adbbf8d4e3","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"d9efe208-6fe1-45c8-a966-196f0e96afcb","type":"text/javascript","exec":[""]}}],"_postman_id":"b492489f-beb9-41a2-bb5a-afca00810fbc"},{"name":"Retrieve Skills file, Screenout file or Styler template from Load-balancer","item":[],"id":"37671f4a-4407-442b-94a2-6f46632eeecc","description":"

\n
Retrieve Skills file, Screenout file or Styler template (‡) for customers on one of our centrally-hosted, load-balanced parsing rings
\n

(‡) There is a slightly different process to Retrieve Styler template, example calls will be updated soon.

For Daxtra support to get a customer an account-specific token
\n

#-- example of API calls to get a customer an account-specific token\n\nmy $ua = LWP::UserAgent->new();\nmy $cookie_jar = HTTP::Cookies->new();\n$ua->cookie_jar( $cookie_jar );\n\n$req = HTTP::Request->new(\n    \"GET\",\n    \"https://v2.daxtra.io/login/yubi/{{YUBIKEY}}\",\n);\n$resp = $ua->request($req);\n\n$req = HTTP::Request->new(\n    \"GET\",\n    \"https://v2.daxtra.io/cvx/accounts/{{ACCOUNT}}/token\",\n);\n$resp = $ua->request($req);\n

which should return an account-specific token for a customer

{\"ok\":\"90706a23-0183-4345-b977-e1d68d1f8b74\"}\n

Please note: You can only get a customer token once! After that you need to save it safely.

For a customer to retrieve Skills file or Screenout file
\n

GET request to connect:

#-- example of API call to connect to a customer's account on load-balancer\n\nmy $ua = LWP::UserAgent->new();\nmy $cookie_jar = HTTP::Cookies->new(\n    file           => \"/tmp/cookies\",\n    autosave       => 1,\n    ignore_discard => 1,\n);\n$ua->cookie_jar( $cookie_jar );\n\n$req = HTTP::Request->new(\n    \"GET\",\n    \"https://v2.daxtra.io/login/account/{{ACCOUNT}}/$MY_TOKEN\",\n);\n$resp = $ua->request($req);\n

GET request to get Skills file or Screenout file:

#-- example of API call to get Skills file or Screenout file from load-balancer\n\n$req = HTTP::Request->new(\n    \"GET\",\n    \"https://v2.daxtra.io/cvx/accounts/{{ACCOUNT}}/skills\",  # or \"/screenout\"\n);\n\n$resp = $ua->request($req);\n\nprint STDERR $resp->content();  \n

Please note: The response content contains Skills file or Screenout file.

\n","event":[{"listen":"prerequest","script":{"id":"fa249a43-0827-4daa-a189-785fbe7f8b01","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"0df332b1-ba49-45ae-8394-ac50b0dee685","type":"text/javascript","exec":[""]}}],"_postman_id":"37671f4a-4407-442b-94a2-6f46632eeecc"}],"id":"a9016229-b268-4a71-bc65-132fbce567ea","_postman_id":"a9016229-b268-4a71-bc65-132fbce567ea","description":""}],"id":"ff8ad57e-9806-4426-a37c-936aaf736c19","_postman_id":"ff8ad57e-9806-4426-a37c-936aaf736c19","description":""},{"name":"Integrations using SOAP API","item":[{"name":"PHP","item":[{"name":"POST ProcessCV","item":[],"id":"5d091f8a-fecb-43fa-ba4e-0b079388fc5e","description":"

\n
The most frequently used SOAP call is ProcessCV.
\n

Below is an example of ProcessCV SOAP call from PHP

<?php\n//-- Sample code for processing a resume\n\nfunction processCV ($service_url, $service_account, $file_to_process)\n{\n    $client = new SoapClient(\"$service_url/cvx/CVXtractorService.wsdl\");\n    $handle = fopen($file_to_process , \"r\");\n    $fileContents = fread($handle, filesize($file_to_process));\n    fclose($handle);\n    $response = $client->ProcessCV(array('document_url' => base64_encode($fileContents), \n                                          'account'     => $service_account));\n    $hrxml_profile = simplexml_load_string($response->hrxml);\n    return $hrxml_profile;\n} ?>\n

where

service_url -- string -- URL of a DaXtra Server (not the full path to wsdl - just server name or IP)
service_account -- string -- your user name allocated to you by DaXtra
file_to_process -- string -- full path to a file you want to process
hrxml_profile -- XML/JSON object with structured fields or error

\n","_postman_id":"5d091f8a-fecb-43fa-ba4e-0b079388fc5e"},{"name":"POST ProcessCVphase1 and POST ProcessCVphase2","item":[],"id":"f7c5aa3c-aa2f-4cb1-95a4-63ec403c7a6e","description":"

\n
To speed up delivery of information to the user you also can process a resume in two phases. In the first phase the ProcessCVphase1 SOAP call extracts only personal and contact data which is in general 50% faster than extraction of the full profile. Together with the HR-XML profile it returns a phase2_token which can be used by immediately calling ProcessCVphase2 to fetch the full profile.
\n

Please note: The ProcessCVphase2 call should be made as soon as possible after the ProcessCVphase1 call.

Below is an example of ProcessCVphase1 and ProcessCVphase2 SOAP calls from PHP

<?php\n//-- Sample code to make ProcessCVphase1 and ProcessCVphase2 calls\n\nfunction processCV2 ($service_url, $service_account, $file_to_process)\n{\n    $client = new SoapClient(\"$service_url/cvx/CVXtractorService.wsdl\");\n    $handle = fopen($file_to_process , \"r\");\n    $fileContents = fread($handle, filesize($file_to_process));\n    fclose($handle);\n    $response = $client->ProcessCVphase1(array('document_url' =>  base64_encode($fileContents), \n                                                    'account' => $service_account));\n    $hrxml_profile_pers_only = simplexml_load_string($response->hrxml);\n    #-- !!! do something useful with $hrxml_profile_pers_only!!!\n    $response = $client->ProcessCVphase2(array('phase2_token' => $response->phase2_token),\n                                                    'account' => $service_account));\n    $hrxml_profile = simplexml_load_string($response->hrxml);\n    return $hrxml_profile;\n} ?>\n

where

service_url -- string -- URL of a DaXtra Server (not the full path to wsdl - just server name or IP)
service_account -- string -- your user name allocated to you by DaXtra
file_to_process -- string -- full path to a file you want to process
hrxml_profile -- XML/JSON object with structured fields or error

\n","event":[{"listen":"prerequest","script":{"id":"d34922f3-0b29-4e36-a2c5-c28b5e1e6a80","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"ceddce5e-1d63-4284-90c8-ae9f1510e29e","type":"text/javascript","exec":[""]}}],"_postman_id":"f7c5aa3c-aa2f-4cb1-95a4-63ec403c7a6e"},{"name":"POST ProcessBatch","item":[],"id":"c44f6a07-6fc6-432d-9ac0-63552331c935","description":"

\n
To process a number of files in batch mode you can use a ProcessBatch call.
\n

Below is an example of ProcessBatch SOAP call from PHP

<?php\n//-- Sample code for processing a number of files in batch mode\n\nfunction processBatch ($service_url, $service_account, $file_to_process)\n{\n    $client = new SoapClient(\"$service_url/cvx/CVXtractorService.wsdl\");\n    $handle = fopen($file_to_process , \"r\");\n    $fileContents = fread($handle, filesize($file_to_process));\n    fclose($handle);\n    $response = $client->ProcessBatch(array('document_url' => base64_encode($fileContents), \n                                            'account'      => $service_account));\n\n//-- token for this batch processing:\n\n    $batch_token = $response->process_token;\n    $ret_array = array();\n    for ($x = 0; $x <= 1000; $x++) {\n\n//-- wait some time for processing to continue:\n\n        sleep(3); \n\n//-- call on the process to retrieve available results:\n\n        $response = $client->ProcessBatch(array('document_url' => $batch_token, \n                                                'account'      => $service_account));\n\n//-- save Base64-encoded ZIP of results if it was returned in this call:\n\n        $result = $response->Results; \n        if (!empty($result)) {\n            $result_file = $file_to_process . \"_\" . $x . \".zip\";\n            $res_handle = fopen($result_file , \"w\");\n            fwrite($res_handle, base64_decode($result));\n            fclose($res_handle);\n            array_push($ret_array, $result_file);\n        }\n\n//-- check whether processing is still going on (if so, the returned token is the same as the original):\n\n        $this_token =  $response->process_token;\n        if ($this_token <> $batch_token) { \n            $x = 1000;\n            $fh_stderr = fopen('php://stderr','a');\n            fwrite($fh_stderr, \"Processing finished with message: \" . $this_token);\n            fclose($fh_stderr);\n        }\n    }\n    return $ret_array;\n} ?>\n

where

service_url -- string -- URL of a DaXtra Server (not the full path to wsdl - just server name or IP)
service_account -- string -- your user name allocated to you by DaXtra
file_to_process -- string -- full path to a file you want to process (usually an archive of files - ZIP, RAR, tar)
ret_array -- array of filenames of ZIP files with results

\n","_postman_id":"c44f6a07-6fc6-432d-9ac0-63552331c935"}],"id":"609dc10e-0d5c-4593-ba9e-ab6d2b903abc","description":"

PHP Integration using SOAP

\n
PHP v5 and above has a SoapClient class to make a SOAP call.
\n

Below are example SOAP calls from PHP to process a resume:

\n
For more details see the section SOAP API calls to process a resume or job order.
\n

\n","event":[{"listen":"prerequest","script":{"id":"c58ece13-674a-488a-b599-435ec1ef9b6f","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"6d438e0c-5e5b-4b29-a295-6ec8b5713491","type":"text/javascript","exec":[""]}}],"_postman_id":"609dc10e-0d5c-4593-ba9e-ab6d2b903abc"},{"name":"Ruby","item":[],"id":"4c822ab3-7929-472c-bf60-5a697ce304d0","description":"

Ruby on Rails Integration using SOAP

\n
One of the best Ruby on Rails SOAP clients is Savon, which has a Client class to make a SOAP call.
\n

Savon version 2 is available from RubyGems and can be installed using:

$ gem install savon\n

After Savon is installed you will need to create a DaxtraParser class as below. For web applications you will normally put it into an \"app/models/daxtra_parser.rb\" file.

Below is an example of ProcessCV SOAP call from Ruby on Rails

#-- Sample code for processing a resume\n\nrequire 'base64'\nrequire 'savon' \n\nclass  DaxtraParser\n    def initialize(service_url, service_account) \n        @ACCOUNT = service_account\n        @client = Savon::Client.new(wsdl: service_url + \"/cvx/CVXtractorService.wsdl\")\n    end\n    def parse_file(file_to_process)\n        content = File.binread(file_to_process)\n        encoded = Base64.encode64(content)\n        response = @client.call(:process_cv, message: { \"document_url\" => encoded, \"account\" => @ACCOUNT })\n        response.body[:process_cv_response][:hrxml]\n    end\nend\n\n#-- Now you can use DaxtraParser objects in your Ruby on Rails program\n \nparser = DaxtraParser.new(service_url, service_account);\nhrxml_profile = parser.parse_file(file_to_process)\n

where

service_url -- string -- URL of a DaXtra Server (not the full path to wsdl - just server name or IP)
service_account -- string -- your user name allocated to you by DaXtra
file_to_process -- string -- full path to a file you want to process
hrxml_profile -- string containing XML/JSON with structured fields or error

\n
For more details see the section SOAP API calls to process a resume or job order.
\n

\n","event":[{"listen":"prerequest","script":{"id":"2ab35ec8-224b-4daf-826a-46ff21badb76","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"ae5959cb-85db-4c61-8f8c-2ad3a5cd8bb8","type":"text/javascript","exec":[""]}}],"_postman_id":"4c822ab3-7929-472c-bf60-5a697ce304d0"},{"name":"Perl","item":[],"id":"aa0f82f2-c29b-4eb2-b0cd-0c858a011042","description":"

Perl Integration using SOAP

\n
Perl has the SOAP:Lite CPAN module to make a SOAP call.
\n

Below is an example of ProcessCV SOAP call from Perl

#-- Sample code for processing a resume\n\nuse SOAP::Lite; \nuse XML::LibXML;\nuse Fcntl;\n\nsub processCV \n{\n    my $service_url = shift @_;\n    my $service_account = shift @_;\n    my $file_to_process = shift @_;\n\n    my $process_file = read_bin_file($file_to_process);\n    my $client = createSOAPclient($service_url);   \n    my $result = $client->ProcessCV($process_file, $service_account);\n    \n    if ($result =~ %^<%) \n    #-- valid XML return\n    {\n        my $xml_parser = XML::LibXML->new;\n        my $envelope_dom =  $xml_parser->parse_string($result);\n        for my $hrxml_node ( $envelope_dom->findnodes(\"//s0:hrxml\") )\n        {\n            return $hrxml_node->textContent;\n        }\n    } \n    else \n    #-- HTTP error\n    { \n        return $result;\n    }\n}\n\nsub createSOAPclient\n{\n    my $service_url = shift @_;\n    my $client = SOAP::Lite->service(\"http://$service_url/cvx/CVXtractorService_compatibility.wsdl\");\n    return $client;\n}\n\nsub read_bin_file \n{\n    my $filename = shift @_;\n\n    my $sstring;\n    my $ed_length = -s $filename;\n    \n    sysopen(BINDAT, $filename, O_RDONLY | O_BINARY);\n    sysread(BINDAT, $sstring, $ed_length); #+1024);\n    close(BINDAT);\n  \n    return $sstring;   \n}\n

where

service_url -- string -- URL of a DaXtra Server (not the full path to wsdl - just server name or IP)
service_account -- string -- your user name allocated to you by DaXtra
file_to_process -- string -- full path to a file you want to process

\n
For more details see the section SOAP API calls to process a resume or job order.
\n

\n","event":[{"listen":"prerequest","script":{"id":"450bc646-04fd-434a-b159-c0efa644aec4","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"199a9ba0-580f-4759-b236-30766284612f","type":"text/javascript","exec":[""]}}],"_postman_id":"aa0f82f2-c29b-4eb2-b0cd-0c858a011042"},{"name":"Python","item":[],"id":"6af667be-2694-41be-85fb-313685b6e8bc","description":"

Python Integration using SOAP

\n
Python has suds.client to make a SOAP call
\n

Below is an example of ProcessCV SOAP call from Python

#-- Sample code for processing a resume\n\nfrom suds.client import Client\nfrom base64 import b64encode\n\ndef daxtra_process_cv (service_url, service_account, file_to_process):\n    f = open(file_to_process,'rb')\n    filecontent = f.read()\n    daxtra_soap_client = Client(service_url + '/cvx/CVXtractorService.wsdl')\n    hrxml_profile = daxtra_soap_client.service.ProcessCV(\n                                            document_url=b64encode(filecontent), \n                                            account=service_account)\n    return hrxml_profile\n

where

service_url -- string -- URL of a DaXtra Server (not the full path to wsdl - just server name or IP)
service_account -- string -- your user name allocated to you by DaXtra
file_to_process -- string -- full path to a file you want to process
hrxml_profile -- string containing XML/JSON with structured fields or error

\n
For more details see the section SOAP API calls to process a resume or job order.
\n

\n","event":[{"listen":"prerequest","script":{"id":"95947c29-8335-4215-ab48-3b909d01f425","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"289e2c50-414a-46f5-a65d-04c4bf48da57","type":"text/javascript","exec":[""]}}],"_postman_id":"6af667be-2694-41be-85fb-313685b6e8bc"}],"id":"47af2a2d-927d-4b44-b7a3-591c7dc62bb5","description":"

\n
A number of popular programming platforms have tools which read a WSDL file and produce classes ready to use.
\n
For example:
\n

wsdl /language:c# http://{{DAXTRA_SERVER_IP}}/cvx/CVXtractorService.wsdl\n

VB.NET

wsdl /language:vb http://{{DAXTRA_SERVER_IP}}/cvx/CVXtractorService.wsdl\n

Java

wsdl2java -encoding UTF-8 -verbose -frontend jaxws21 http://{{DAXTRA_SERVER_IP}}/cvx/CVXtractorService.wsdl\n

You will need to install the Apache CXF wsdl2java tool.

Perl

wsdl2perl.pl -b http://{{DAXTRA_SERVER_IP}}/cvx/CVXtractorService.wsdl\n

Provided by SOAP:WSDL CPAN module.

\n
Many popular programming platforms also have pre-developed classes which can deal with SOAP calls.
\n
For instance:
\n

PHP v5 and above has the SoapClient class
Ruby has Savon gem
Perl has the SOAP:Lite CPAN module
Python has suds.client

Please note: The most frequently used SOAP call is ProcessCV.

\n","event":[{"listen":"prerequest","script":{"id":"d87d5c21-90e6-487d-a87f-5b4c8535534a","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"11728524-86da-45f9-9647-5af4d0a01f31","type":"text/javascript","exec":[""]}}],"_postman_id":"47af2a2d-927d-4b44-b7a3-591c7dc62bb5"},{"name":"Configuration information","item":[{"name":"list/configs","id":"1aa6c6f5-2a38-4f87-82b1-b35f831f2cca","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://{{DAXTRA_SERVER_IP}}/cvx/rest/api/v1/list/configs?account={{TEST_ACCOUNT}}&yubikey={{YUBIKEY}}","description":"

\n
Retrieve Configuration options from configuration file associated with your Account ID / Secure Token. †
\n

† This call is currently available to DaXtra support only. Please ask DaXtra support for details.

\n","urlObject":{"protocol":"https","path":["cvx","rest","api","v1","list","configs"],"host":["{{DAXTRA_SERVER_IP}}"],"query":[{"key":"account","value":"{{TEST_ACCOUNT}}"},{"key":"yubikey","value":"{{YUBIKEY}}"}],"variable":[]}},"response":[],"_postman_id":"1aa6c6f5-2a38-4f87-82b1-b35f831f2cca"}],"id":"23f4de37-ee79-4546-a311-5c2bda6a4d3e","description":"

\n
Processing can be customised through the use of configuration options.
\n

Normally they are set by DaXtra engineer in a configuration file associated with your account.
You can also pass configuration options together with your Account ID / Secure Token using a '; ' delimiter.

Please note: Configuration option that you pass together with your Account ID has precedence over configuration option that is set in a configuration file (excluding -ocr_allowed option).

Account ID example

ACCOUNT_ID; -turbo -maxlen 10000 -accept_langs \"EN,CN\" -local CN\n\n

Processing configuration options

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Account ID options	Description of configuration options	Configuration file
-turbo	Use turbo mode for faster processing. Default is \"no\". ‡	turbo=yes
-turbo_no	Do not use turbo mode (default). ‡	turbo=no
-maxlen N	Process only N characters of the document. Useful to control speed of processing on long documents. Default is 30000.	maxlen=20000
-max_pages N	Process only N pages of PDF document. Useful to control speed of processing on long PDF documents. Default is 8.	max_pages=10
-pers_only	Extract only personal and contact information (speed gain).	pers_only=yes
-local LL	Two letter default locale for the document (e.g. CN, ES, US). Can improve accuracy of extraction. Multiple locales can be listed using commas.	DEF_LOCAL=US,CA
-zoning	Use publication zoner.	ZONING=yes
-zoning_no	Do not use publication zoner. Default is \"no\" because it takes longer.	ZONING=no
-tel_norm	Normalise phone numbers to international format. Default is \"yes\".	no_tel_norm=no
-tel_norm_no	Do not normalise phone numbers to international format.	no_tel_norm=yes
-email_body	Process email body together with attachments.	no_email_body=no
-email_body_no	Do not process body of emails, only attachments. Emails from job boards often contain vacancy information in the email bodies which can confuse extraction. Default is \"yes\".	no_email_body=yes
-span	Leave \"spans\" in \"TextResume\" elements; default is yes. Useful for cross-referencing from profile to resume text, and required if you are planning to use this profile in a ReformatCV or /styler call.	KEEP_SPAN=yes
-span_no	Do not leave \"spans\" in \"TextResume\" elements.	KEEP_SPAN=no
-accept_langs LL,LL	Only documents in languages in the list will be processed (e.g. -accept_langs \"EN,FR\").	accept_langs=EN,FR
-not_accept_langs LL,LL	Do not process documents in these languages (e.g. -not_accept_langs \"FR,SP\").	not_accept_langs=FR,SP
-split_language	If a document has distinctive parts in multiple languages, split it into multiple documents. Usually this is used together with optkions -prefer_lang_cv or -accept_langs / -not_accept_langs.	split_language=yes
-prefer_lang_cv LL	If there are multiple resume attachments a resume in this language will be preferred.	prefer_lang_cv=EN
-complex	If there are multiple resume attachments, conduct extraction in structured form. Default is \"no\".	complex=yes
	Do not conduct extraction in structured form (default).	complex=no
-picture	If there is a candidate picture in the document, list its local filename.	picture=yes
-picture_inline	If there is a candidate picture in the document, return it in Base64 encoding.	picture_inline=yes
-ts TARGET_SCHEMA	Output in a particular schema version rather than the latest, e.g. -ts \"2.0.29\".	TARGET_SCHEMA=2.0.29
-hrxml	Output cadidate or vacancy profile in HR-XML 2.4. This is the only option for vacancy profile.	OUT_SCHEMA=HRXML
-daxml	Output cadidate profile in the DaxML variant of HR-XML. This is default option for candidate profile.	OUT_SCHEMA=DAXML
-projects_off	Treat projects as work histories.	projects_off=yes
	Treat projects as project histories (default).	projects_off=no
-merge_bold_profile	When a Bold CV is processed, merge the Bold profile into the extracted profile. †	MERGE_BOLD_PROFILE=yes
-merge_bold_profile_no	Do not attempt to merge Bold profiles into extracted profiles (default). †	MERGE_BOLD_PROFILE=no
	Do not use the candidate's last work history location as the candidate's location if no other candidate's location is available.	use_last_tl_location=no
	Do use the candidate’s last work history location as the candidate’s location if no other candidate’s location is available and last work history end date is ‘Present’ (default).	use_last_tl_location=yes

† The feature is currently supported on the latest DaXtra parser release; please ask DaXtra support for details.

‡ turbo mode attempts to speed up the processing times of slower CVs by reducing the processing of long work history elements and enabling \"fast conversion\" of the document. Please find a brief description of each of the changes and their effects below.

Reducing the processing of long work history elements means that when an entry in the candidate's work history section is over a certain length, information will only be extracted from the start of the entry. This change will only affect work history elements that are over 4000 characters long, so the majority of CVs will be unaffected. Additionally, since the most essential information tends to be at the start of each entry, this typically only affects the extraction of skills from deep inside the work history element.

Finally \"fast conversion\" reduces the timeout of the conversion procedure for all CVs. CVs that convert in a short amount of time will be unaffected by this change, but CVs that take a long time to convert may not be converted as accurately. This can cause the layout of the CV (as seen by the parsing engine) to be less accurate, which may introduce some issues during extraction.

For time-critical applications you might also consider Disabling OCR, which means that when a graphical CV is sent in, the parsing engine will not attempt to derive the CV's text from the image. This will cause CVs that are image files (JPEG, PNG, etc.) and certain PDF CVs (that do not contain any text information) not to have any information extracted.

Configuration options for processing graphical documents

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Account ID options	Description of configuration options	Configuration file
	Setting whether the account is licensed to use OCR functionality. Default is \"no\".	ocr_allowed=yes or ocr_allowed=no
-ocr_engine {\"a9t9_ocr\":\"PDMXB4398888A\"},{\"lang\":\"en\"},{\"endpoint\":\"US\"}	Setting the OCR functionality to use the A9T9 online service. Options for \"lang\": \"en\", \"de\", \"fr\", \"es\", \"pt\", \"nl\", \"it\", \"se\", \"cn\". Options for \"endpoint\": \"US\", \"EU\", \"Asia\". †	ocr_engine={\"a9t9_ocr\":\"PDMXB4398888A\"},{\"lang\":\"en\"},{\"endpoint\":\"US\"}
-ocr_engine {\"google_ocr\":\"YOUR_API_KEY\"},{\"endpoint\":\"US\"}	Setting the OCR functionality to use the Google Cloud Vision service. Parameter \"endpoint\" is optional. Options for \"endpoint\": \"US\", \"EU\". ‡	ocr_engine={\"google_ocr\":\"YOUR_API_KEY\"},{\"endpoint\":\"US\"}
-ocr_engine tesseract	Setting the OCR functionality to use the local service. †	ocr_engine=tesseract

† Features are not currently supported on latest DaXtra centrally-hosted, load-balanced parsing rings; please ask DaXtra support for details.

‡ YOUR_API_KEY is your Cloud Vision API key from Google; please ask DaXtra support for details.

\n","_postman_id":"23f4de37-ee79-4546-a311-5c2bda6a4d3e"},{"name":"Output error messages","item":[{"name":"REST response codes","item":[],"id":"d4e3c07f-5d2d-4cd5-be1c-b98887dac5b9","description":"

\n
Our REST framework uses the standard HTTP response code mechanism for reporting errors.
\n

REST Response data - Error Handling

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Code	Data formats	Error description	CSERROR codes
400	`application/json` `text/xml`	Bad request arguments; with additional CSERROR error message in JSON or XML format	10,11,12,14
403	`application/json` `text/xml`	Authorization failed; with additional CSERROR error message in JSON or XML format	1,2,3,4
404	`application/json` `text/xml`	Process Not Found; with additional CSERROR error message in JSON or XML format	19,23
422	`application/json` `text/xml`	Error at Request Execution; with additional CSERROR error message in JSON or XML format	20,21,22,31,602,603,604
429	`application/json` `text/xml`	Too Many Requests; with additional CSERROR error message in JSON or XML format	429
500	`application/json` `text/xml`	Internal Server Error; with additional CSERROR error message in JSON or XML format	16

Please note: CSERROR codes are described in CSERROR element section.

\n","_postman_id":"d4e3c07f-5d2d-4cd5-be1c-b98887dac5b9"},{"name":"CSERROR element","item":[],"id":"17d21d2d-4406-4419-9685-a7f8e06cfef8","description":"

\n
When an error occurs then instead of a string containing a \"Resume\" element DaXtra Parser returns a CSERROR element.
\n

CSERROR element in JSON

{\n    CSERROR: {\n        code: error_code,\n        messsage: \"error description\"\n    }\n}\n

CSERROR element in XML

<CSERROR code='error_code'>error description</CSERROR>\n

Error codes

Code	Error Description	Reporting calls
1	account has no permission to use this server	ALL CALLS
2	account has expired on this server	ALL CALLS
3	account does not have credentials for the requested operation	ALL CALLS
4	credentials for the account are not set on the server	ALL CALLS
10	incorrect call arguments: account / document needs to be specified	ALL CALLS
11	corrupted access token	ALL CALLS
12	could not read transferred document	ALL CALLS
14	incorrect structure of passed argument	ALL CALLS
16	could not load required modules	ALL CALLS
19	wrong CVX server: batch job is on instance_ip	ProcessBatch
20	error at document extraction	ALL CALLS
21	failed to generate secure access token	ALL CALLS
22	no result produced by ProcessCVphase2	ProcessCVphase2
23	no process for token found on this server	ProcessCVphase2, ProcessBatch
31	error at document format conversion	PDF2Word, ReformatCV
429	too many requests. Server is too busy	ALL CALLS
602	account already exists	CreateAccount
603	could not create directory for new account	CreateAccount
604	could not create required account files	CreateAccount
777	misc error	ALL CALLS

","_postman_id":"17d21d2d-4406-4419-9685-a7f8e06cfef8"}],"id":"6e85f632-26b7-4eb7-845f-6f065a4d06f4","_postman_id":"6e85f632-26b7-4eb7-845f-6f065a4d06f4","description":""}]}

Integration samples for various programming languages

where

C SHARP

VB.NET

where

C SHARP

C SHARP

VB.NET

where

C SHARP

VB.NET

where

where

where

where

where

where

output

For Daxtra support to get a customer an account-specific token

For a customer to install Screenout file

For Daxtra support to get a customer an account-specific token

which should return an account-specific token for a customer

For a customer to retrieve Skills file or Screenout file

GET request to connect:

GET request to get Skills file or Screenout file:

Below is an example of ProcessCV SOAP call from PHP

where

Below is an example of ProcessCVphase1 and ProcessCVphase2 SOAP calls from PHP

where

Below is an example of ProcessBatch SOAP call from PHP

where

PHP Integration using SOAP

Ruby on Rails Integration using SOAP

Below is an example of ProcessCV SOAP call from Ruby on Rails

where

Perl Integration using SOAP

Below is an example of ProcessCV SOAP call from Perl

where

Python Integration using SOAP

Below is an example of ProcessCV SOAP call from Python

where

Account ID example

Processing configuration options

Configuration options for processing graphical documents

REST Response data - Error Handling

CSERROR element in JSON

CSERROR element in XML

Error codes