Accuracy

When it comes to the accuracy of our software, the best verification is that the largest online and offline resume/CV processing organizations in the world use Sovren software.

If you are interested in the Sovren parsing technology, we recommend you take a real life sample of the type of resumes you will be parsing and test them on your own. You will see first hand that the Sovren parsing technology is the most accurate parser.

The truth about accuracy

Other parsing vendors trumpet absurd and unfounded claims about accuracy. All vendor claims to accuracy are self-serving and indefensible. Measured by whom? Measured how? Measured on what documents? Measured in what language? Measured on which version?

One minor vendor claims 100% accuracy. Read the fine print and you'll learn that their parser is 100% accurate when the candidate corrects the errors. Well, of course. Another vendor claims “99.9% accuracy,” which is evidence of at least one of the following: (a) they think you are dumb enough to believe it and not test the accuracy yourself, (b) they smoke powerful hallucinogenic drugs, (c) they are desperate to get traction and are willing to make absurd claims to get attention.

Please be assured that 99.9% accuracy is not even achievable when candidates fill out online forms. Clearly, these silly claims bear out what Mark Twain said: "There are lies, damned lies, and statistics." At Sovren, we refuse to make any claims other than that we are the most accurate and we urge you to test this claim yourself, using a selection of your own documents.

Scope

Sovren consistently wins head-to-head accuracy competitions, often by a surprisingly wide margin, when customers take the time to do their own comparison versus other parsing software. Don’t just take our word for it. We encourage you to test your own set of resumes/CVs, taking into account all the types of content that you need to extract, across all the languages and regions that are relevant to your business. We are confident that you will agree. The Sovren Resume/CV Parser is able to extract all 16 content types defined by the HR-XML Resume standard, plus numerous Sovren extensions, in all supported languages and regions, in a format that conforms to the HR-XML Resume 2.4/2.5 Schema, more accurately than any other product. Is it perfect? No, but it handily beats everything else out there.

Here is a listing of the content types extracted by the Sovren Resume Parser:

• Contact Information: full names, affixes, phone numbers, email addresses, postal addresses, web addresses, including differentiation of personal, office, mobile, hours available, etc.
• Executive Summary
• Objective
• Employment History: job titles, company names, customer/division names, locations, date ranges, position descriptions, job categories, perm vs. temp
• Education History: school names, locations, dates, degree name, normalized degree type, major, minor, GPA, descriptions/details
• Licenses and Certifications: name, description, effective dates
• Military History: country served, branch, initial rank, current rank, dates of service
• Patent History: title, description, inventor names
• Publication History: articles, books, conference papers, other publications, with titles, publisher names, descriptions
• Speaking Events History: event name, type, description, dates
• Qualifications: summary, individual customizable competencies, customizable ids, total months used, date last used, identification of each position or degree or resume section that each competency is found within
• Languages: ISO 639-1 language code, read, write, speak
• Achievements: descriptions, dates
• Associations: name of association, role within association, dates, comments
• References: name, title, contact information
• Security Credentials: name, effective dates
  

Plus numerous compatible UserArea extensions to the standard including:

• Cover Letter
• Culture: Language, Region
• Personal Information: Date of birth, Birthplace, Nationality, National Identity Number, Gender, Marital Status, Driving License, Current Location, Preferred Location, Willing to Relocate, Family Composition, Father’s Name, Mother’s Maiden Name, Visa Status, Passport Number, Current Salary, Required Salary
• Experience Summary: Generated Summary of Work Experience, Generated Summary of Management Experience, Calculated Best Fit Categories of Experience, Months/Years of Work Experience, Months/Years of Management Experience, Current Management Level, Highest Management Level, Executive Type
• Employment History: Self-Employment, Number of Employees Supervised, Scaled rating of confidence in accuracy of individual job titles and employer names
• Training History: Type, Name, Qualifications, Training Provider, Date Range, Description
• Hobbies
• Custom Data
• Metadata: Type and line numbers for each resume section, Length of parsed text, Time to parse, Timeout information, Configuration information, Parser version