---
title: Key measurements of a good parser
description: The two key measurements you should look for in a CV parser are Coverage and Accuracy. In this article we cover what this means and why it's important.
---

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# Key measurements of a good parser

Posted February 26th, 2014

## The two key measurements you should look for in a CV parser are Coverage and **Accuracy**.

### Coverage

**Describes WHAT a parser actually tries to extract.**

All parsers try to extract the contact information for the candidates, and most of them also extract skills, work histories and qualifications. The most advanced [CV parsers](https://info.daxtra.com/the-ultimate-guide-to-cv-resume-parsing) (including [DaXtra's](https://www.daxtra.com/daxtra-parser.html)) are even able to extract referees, hobbies, candidate summary, desired salary, desired location, nationality, visa status, and various other fields.

All of this information is required to create a full record for the candidate, so in general the more information a parser extracts, the better.

### Accuracy

**Describes HOW good a parser is at identifying information from a CV/Resume.**

Accuracy measures how often the parser is actually right. For example, a precision of 95% on identifying names means that the CV parser correctly extracts the name of the candidate in 95% of all incoming resumes. This measure is important because the lower the accuracy, the more it costs to correct the errors that the resume parser makes.

In general, if a parser is less than about 90% accurate, the number of errors will be too large to permit it to load data into a resume database without extensive human supervision.

Interesting fact: Although the difference between 89% and 95% may not seem huge, it represents more than a doubling in the rate of errors that will need to be corrected, and hence a doubling of associated costs.

[CV Parsing](https://info.daxtra.com/cv-parsing-fact-or-fiction) **Claims: Fact or Fiction? You decide....**

 Tags: [DaXtra Blog](https://info.daxtra.com/blog/tag/daxtra-blog), [database](https://info.daxtra.com/blog/tag/database), [resume parsing](https://info.daxtra.com/blog/tag/resume-parsing) 

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