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

August 22, 2023 by dev

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

A Resume Parser streamlines the recruitment process, reducing errors and saving time, thus enhancing recruiters' efficiency.

As an HR Manager of an Enterprise, I handle thousands of resumes yearly, which is a daunting manual task. Learning about resume parsing technology intrigued me. I was wondering what a resume parser is and how does it automatically parse resumes?

I decided to explore a demo from a leading resume parser provider and employed 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, analyzes, stores, organizes, and enriches it using its taxonomies. Resume parsing software accelerates the hiring process and improves overall productivity.

Fast and accurate resume parsing technology improves efficiency and enhances candidate experience.

What Does a CV/Resume Parser Do?

Fast and accurate resume parsing technology improves efficiency and enhances candidate experience.

[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, and professional certifications to quickly help you identify the most relevant resumes based on your criteria.

[3] A parser takes input as 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 parserrevolutionizing our hiring process.

How to Select A Resume Parser?

Reliable resume parser to extract data (skills, experience, etc.) from resumes for streamlined hiring.

Resume parser features to check while selecting a CV/resume parser:

  • Ability to parse resumes of all formats, including PDF, doc, docx, HTML, RTF
  • Seamless integration with your existing software
  • Extensive library of taxonomies to identify candidate skills
  • Multilingual resume/CV parsing that recognizes regions and languages automatically. 
  • Facilitating unbiased recruitment
  • Cutting-edge parsing capabilities that extract complete information from resumes across 140+ data fields.
  • Generate an executive or management summary so recruiters can evaluate a candidate by reading this summary. 
  • Incorporation of deep learning algorithms for improved data extraction and smart identification of resume information for better search results.
  • Bulk import allows a resume/job parser to parse multiple resumes/jobs in a go.
  • Unique feature of Email inbox integration allows users to parse resumes/jobs from single or multiple email inboxes.
  • 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 with a single click. For example, our hiring team searched for a 'Marketing Manager' with an MBA and two years of experience. The resume parsing technology enabled us to conveniently access the qualification and experience tab of the parser, eliminating the need to manually go through the entire CV.

CV/Resume parsing API benefits include:

  • Saves Time
  • It parses resumes, extracts data, and efficiently saves into your ATS in segregated fields.
  • It allows you to organize your candidate’s resumes without wasting any time.
  • Processing and selecting the most suitable candidates for your organization becomes more efficient, saving valuable time.
  • Save employees’ time in internal referrals.     
  • It offers auto-filling of forms in less than 10 secs so that candidates can apply for a job post in a single click without manually filling out details.
  • It also helps to build your employer's brand among candidates.
  • Easily import millions of resumes overnight.
  • Accurate insights: Fast and accurate JD/resume 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 skills, job profiles with Taxonomies.
  • Eliminate unconscious bias by switching on/off fields and promoting diversity.
  • Mask resumes before sending them to the recruiters.
  • Improve your ROI from an 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 it 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 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.

Parse resume data

5. Beautify JSON and download the output.

resume parsing software to parse resumes

RChilli resume parser is now available on Salesforce AppExchange, Oracle Cloud Marketplace, and Oracle PeopleSoft.  

Who Can Use Resume Parsing Technology?

Applicant Tracking System (ATS)

  • Make your ATS better, faster, and stronger with the RChilli resume parser's amazing user experience. Resume parser helps ATS capture, manage, and analyze resume data with ease.

Job boards

  • Add automation to your recruitment process for a powerful user experience with RChilli CV parser.
  • We add value to your existing recruitment system and speed up your hiring process using our resume parsing api. 

Staffing companies

  • Experience the power of our solutions and manage resume data with ease.


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?

How can a resume parser help an ATS?

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?

How RChilli resume redactor help in unbiased hiring?

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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