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 extracts it into machine-readable output such as XML, JSON.

A resume parser helps automatically extract, organize, and analyze resume data to find the most suitable candidates. It streamlines recruitment process, reduces errors and saves time, thus enhancing recruiters' efficiency.

In my role as an HR Manager for an enterprise, managing thousands of resumes annually has been a challenging and time-consuming task. The concept of resume parsing technology caught my attention, prompting me to delve into understanding what a resume parser is and how it automates the parsing process.

In order to gain firsthand experience, I opted to explore a demo offered by a prominent resume parser provider. Utilizing their CV parsing software, I automated bulk resume data extraction.

What is a Resume Parsing?

A resume parser is a deep learning/AI framework that identifies complete information from resumes, extracts, analyzes, 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.

 Why do businesses use Resume Parser?

 CV/Resume parsing API benefits include:

  • Save Time and Efforts:
    Parsing resumes manually is time-consuming. The resume parser automatically parses resumes and extracts candidate data in 200+ fields. By extracting details from resumes accurately it significantly reduces the time and effort required to screen candidates. 
  • Increases Efficiency:
    A resume parser analyses a large volume of resumes and allows recruiters to focus on evaluating qualified candidates rather than sorting through piles of paperwork.

  • Improves candidate experience
    It offers auto-filling of forms in less than 10 seconds so that candidates can apply for a job post in a single click without manually filling out details.

  • Improves Accuracy:
    Resume parsing software helps avoid human errors such as misspellings, typo errors, and incorrect or incomplete data that can compromise the quality of the candidate database.

  • Eliminates Biases:
    A resume parsing software can remove the data that users feel can cause bias in their recruiting decision. They can identify the data fields and enable/ disable fields as per their requirement. Once they disable the fields, the parser will not fetch data for the same.

  • Easily import millions of resumes:
    It allows RChilli’s resume/JD parser to parse multiple resumes/JDs in a go. All you need to do is upload multiple resumes/JDs to the given FTP, and you will get the extracted information in seconds.

  • Enhances Employer Branding:
    A resume parser helps to build your employer's brand among candidates. It also attracts and retains new talent.

  • Better Hiring Decisions:
    The resume parsing tool matches candidate profiles with job requirements based on predefined rules, which identifies suitable candidates for the job role.


How does resume parser work?

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

[1] A resume parser extracts resume data and converts it into unstructured data into a structured form.

[2] It automatically segregates extracted 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?

 
features-of-rchilli-resume-parser
 

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 200+ 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.

Other features of resume parser:

  • Data enrichment via taxonomy.
  • 24/7 customer support.
  • One plan for all products
  • Customization available:

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 go through the entire CV manually.

 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

Login-or-Signup-to-RChilli-MyAccount

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

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

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

Upload-resume-with-valid-extensions-like-doc,-docx,-pdf,-txt,-etc.

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.

candidate-details-in-the-data-fields-that-are-further-classified-in-overview,-analytics,-experience,-etc.

5. Beautify JSON and download parsing output.

Parse-resumes-&-download-JSON-data

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.

        Enterprises

  • 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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