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DAXTRA PARSING is the conversion of free-form CVs into structured information suitable for storage, reporting
and manipulation by a computer.
From resumes submitted in all important incoming formats, it extracts contact information, work experience,
educational details, key skills mentioned, salary requirements, preferred next job, preferred location, and much
more.
All the information it extracts it returns to you in an XML format (HR-XML, XML-Resume, HR-ML, etc.) that also
includes back references to where the information was extracted from in the text of the resume.

This will include creating new candidate records and updating existing records on the database and populating
them with the following details from CVs (provided that the details are explicitly mentioned therein):

Personal                 Address                 Contact                     Other

First name                   Street-address-1         Email                    Position sought
Last Name                    Street- address-2        Email2                   Salary sought
Salutation                   Town                     Home telephone           Location sought
Gender                       County/State             Mobile telephone         Relocation
Date of Birth                Country                  Work telephone           Marital Status
Nationality                  Postcode/Zip-code        Fax
Personal Information native language support in Czech, Danish, Dutch, English, French, German,
Italian, Norwegian, Polish, Portuguese, Brazilian Portuguese, Slovak, Spanish, Swedish,
Hungarian, Chinese, Japanese. Other geographical locales may still achieve good extraction
quality, but this will vary across individual regions, document styles, layouts, and formats.
Employment Record(s)                                  Qualification Record(s)
Start Date                                            Start Date
End Date                                              End Date
Employer                                              School
Location                                              Location
Position Held                                         Degree
Description                                           Description
Employment and Qualification native language support as above, with the exception of Danish,
and Swedish
Industry Skills
The Daxtra Parsing engine natively recognises UK Language skills in the areas of Industry,
General Business, Financial, Technical, Academic, Professional and Spoken Languages.
Additional Bespoke Skilling is supported, depending on requirements of the Lessee.
Supported Incoming Formats
MSWord (doc, docx), RTF, PDF, Word Perfect, HTML, MS Excel, PowerPoint, email attachments
(msg, eml), Microsoft Works, Plain Text, and many more.
Output Format
XML object with profile, resume text and object anchors. Supports multiple XML formats including
HR-XML, XML-Resume, HR-ML and several others
Available Integration examples
C#, C++, VB.Net, VB, ASP, Java, EJB, ColdFusion, Perl, PHP.
Currently deployed regions
North America, Western Europe (all countries), Eastern Europe (Czech Rep, Slovakia, Poland,
Hungary, Russia), Scandinavia (Norway, Denmark, Sweden), China, India, Australia, Asia Pacific,
Middle East, South Africa, Brazil
Average accuracy
92% - if anybody claims a higher accuracy rate they are most likely exaggerating; the average
human analyst accuracy is about 96%.




                                                 Page 1 of 1

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Daxtra parsing key elements

  • 1. DAXTRA PARSING is the conversion of free-form CVs into structured information suitable for storage, reporting and manipulation by a computer. From resumes submitted in all important incoming formats, it extracts contact information, work experience, educational details, key skills mentioned, salary requirements, preferred next job, preferred location, and much more. All the information it extracts it returns to you in an XML format (HR-XML, XML-Resume, HR-ML, etc.) that also includes back references to where the information was extracted from in the text of the resume. This will include creating new candidate records and updating existing records on the database and populating them with the following details from CVs (provided that the details are explicitly mentioned therein): Personal Address Contact Other First name Street-address-1 Email Position sought Last Name Street- address-2 Email2 Salary sought Salutation Town Home telephone Location sought Gender County/State Mobile telephone Relocation Date of Birth Country Work telephone Marital Status Nationality Postcode/Zip-code Fax Personal Information native language support in Czech, Danish, Dutch, English, French, German, Italian, Norwegian, Polish, Portuguese, Brazilian Portuguese, Slovak, Spanish, Swedish, Hungarian, Chinese, Japanese. Other geographical locales may still achieve good extraction quality, but this will vary across individual regions, document styles, layouts, and formats. Employment Record(s) Qualification Record(s) Start Date Start Date End Date End Date Employer School Location Location Position Held Degree Description Description Employment and Qualification native language support as above, with the exception of Danish, and Swedish Industry Skills The Daxtra Parsing engine natively recognises UK Language skills in the areas of Industry, General Business, Financial, Technical, Academic, Professional and Spoken Languages. Additional Bespoke Skilling is supported, depending on requirements of the Lessee. Supported Incoming Formats MSWord (doc, docx), RTF, PDF, Word Perfect, HTML, MS Excel, PowerPoint, email attachments (msg, eml), Microsoft Works, Plain Text, and many more. Output Format XML object with profile, resume text and object anchors. Supports multiple XML formats including HR-XML, XML-Resume, HR-ML and several others Available Integration examples C#, C++, VB.Net, VB, ASP, Java, EJB, ColdFusion, Perl, PHP. Currently deployed regions North America, Western Europe (all countries), Eastern Europe (Czech Rep, Slovakia, Poland, Hungary, Russia), Scandinavia (Norway, Denmark, Sweden), China, India, Australia, Asia Pacific, Middle East, South Africa, Brazil Average accuracy 92% - if anybody claims a higher accuracy rate they are most likely exaggerating; the average human analyst accuracy is about 96%. Page 1 of 1