What is Resume Parsing? How Does CV/Resume Parser Work?

January 07, 2018 by dev

A Résumé parsing technology converts an unstructured form of resume data into a structured format. A Resume parser analyses resume data and extracts it into machine-readable output such as XML, JSON. A CV/resume parser helps store, organize, and analyze resume data automatically to find the best candidate.

A Resume Parser helps organizations eliminate the error-prone and time-consuming process and improves recruiters' efficiency.

What will you find in this article?

Here is a typical scenario of most organizations Sound familiar?

I am the HR Manager of an Enterprise. On average, I receive thousands of resumes per year. It is a tough task to handle resumes manually. I heard about resume parsing technology. I was wondering what a resume parser is? And how does it automatically parse resumes? I took a demo with one of the leading resume parser providers and used parsing software to parse information from resumes in bulk.

What is a Resume Parser?

A resume parser is a deep learning/AI framework that identifies complete information from resumes and enriches it through its taxonomies. It extracts candidate data from resumes in 140+ data fields through REST API. 

What Does a CV/Resume Parser Do?

What is resume parsing

[1] A resume parser is a compiler or interpreter that converts the unstructured data into a structured form.

[2] It is a component that automatically segregates the information into various fields and parameters like contact information, educational qualification, work experience, skills, achievements, professional certifications to quickly help you identify the most relevant resumes based on your criteria.

[3] A parser takes input in the form of a sequence of program instructions and tends to build a data structure, a "parse tree," or an abstract syntax tree.

I used RChilli's Multilingual Resume Parser, which is how it drastically transformed our hiring process.

How to Select A Resume Parser?

Keep in mind the following resume parsing features while selecting a CV/resume parser:

 
resume parser features
 
  • Parses resumes of all formats, such as PDF, doc, docx, HTML, RTF
  • Easy to integrate with your existing software
  • It contains a detailed library of taxonomies to identify candidate skills
  • Choose a multilingual resume parser that automatically identifies region and language to parse information. 
  • Allows the user to enable or disable fields from resumes as per requirement using 'configuration feature.' It helps in promoting unbiased recruitment.
  • It should extract the complete resume information in maximum data fields.
  • Creates an executive or management summary so that recruiters can evaluate a candidate by reading this summary. 
  • Uses deep learning algorithm for improved extraction and smarter identification of resume data for better search results.
  • Bulk import allows a resume/job parser to parse multiple resumes/jobs in a go.
  • Email inbox integration allows users to parse resumes/jobs from single or multiple email inboxes.
  • Option to integrate RScript plugin directly to your web page within 2 min.
  • Get the parsed data in a document template designed to bring uniformity to the presentation.

Also read: Top 7 benchmarks for comparing resume parsing technology

My team didn't have to spend time skimming through the resume. The required information was retrieved at a single click. For example, our hiring team searched for a 'Marketing Manager' who had an MBA with two years of experience. The resume parsing made it possible to simply click on the qualification and experience tab of the parser rather than going through the entire CV.

Benefits of CV/Resume Parsing API:

  • Saves Time
  • It parses resumes, extracts data, and saves into your ATS quickly in segregated fields.
  • It allows you to organize your candidate’s resumes without wasting any time.
  • Less time needed to process and select the most relevant talent who is the right fit for your organization.
  • Save employees’ time in internal referral     
  • It offers auto-filling of forms in less than 10 secs so that candidates can apply to a job post in a single click without manually filling out details.
  • It also helps to build your employer brand among candidates.
  • Easily import millions of resumes overnight
  • Fast and accurate parsing results
  • It strengthens your candidate database with qualitative data. 
  • Quickly integrate the ‘apply now’ button on your career page
  • Get resume data from emails in less than two seconds
  • Enhance search results of Solr/Elasticsearch with Taxonomies
  • Remove unconscious bias through Switch on/off fields
  • Mask resumes before sending to the recruiters
  • Improve your ROI from increased conversion rate
  • Better generalization to data and simplified approach to the data acquisition process

How Does RChilli Resume Parser Exactly Work

RChilli’s resume parser is a deep learning/AI framework that identifies complete information from resumes and enriches it through its taxonomies. It extracts candidate data from resumes in 140+ data fields through REST API.

The process converts an unstructured form of resume data into a structured format. It is a program that analyses a resume/CV created in any document format, such as doc, docx, html, pdf, rtf, and extracts into a machine-readable output such as XML, JSON format through API. 

Check How to Parse Resumes with the RChilli Resume Parser               

You can save much time on manual transactions of each job application and CV's received. RChilli’s friendly 24/7 available customer service makes the user experience all the better.

1. Login or Signup to RChilli MyAccount

CV Parser for accurate parsing

2. Move to integration tab and click on Resume Parsing 8.0.0 to parse resumes

CV Resume Parsing

3. Upload resume with valid extensions like doc, docx, pdf, txt, etc. and start parsing resumes

parse information from resumes

4. After parsing resume, you will get the candidate details in the data fields that are further classified in overview, analytics, experience, etc. Click on respective tab to see results.

resume parsing software to parse resumes

5. Beautify JSON and download the output.

How to Parse resumes?

How did RChilli's Resume Parser help During COVID-19 Pandemic?

  • Speed up the process of parsing resumes even while doing remote work.
  • It seamlessly integrates with other tools.
  • It provides quick results.
  • It helps to improve candidate experience so that candidates can trust you as their future employer.
     

Who Can Use Resume Parsing Technology?

Applicant Tracking System (ATS)

Job boards

Enterprises

Staffing companies

Startups

Parse information from resumes

Curious to Know Other Interesting Facts of a Resume Parser?  

Read the following articles:

Do you want to know more about the resume parsing features?

What does a resume parser do?

How can a resume parser help an ATS?

How does a resume parser provide a positive candidate experience?

How does resume parsing help in unbiased recruitment?

What's the aim behind introducing Deep Learning resume parsing module?

How to create resume parser friendly resume?

How RChilli Resume Parser Blends with Healthcare Industry's Facets?

 

Know More

 

ATS, staffing agencies, Job board, career sites, enterprises, and many more usually work with resume parsing software to automate the CV/Resume database. To know more, stay tuned with RChilli's Blog.

 

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