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

Résumé parsing technology converts unstructured resume data into a structured format. A CV/Resume parser analyses resume data and automatically extracts it into machine-readable output such as XML or JSON.

A resume parser extracts analyzes and organizes data from resumes to identify suitable candidates. This tool streamlines the recruitment process, minimizes errors, and saves time, thus enhancing recruiters' efficiency.

As an HR manager for an enterprise, managing thousands of resumes annually has been challenging and time-consuming. 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.

To gain firsthand experience, I explored 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 extracts complete information from resumes, analyzes, organizes, and enriches it using its taxonomies. Resume parsing software accelerates the hiring process and improves overall productivity.

It parses resumes accurately. Our best resume parsing technology improves efficiency and helps build a high-quality candidate database.

 Why do businesses use Resume Parser?

 CV/Resume parsing API benefits include:

• Saves 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.

• High accuracy and learning capability

  Our resume parser ensures highly accurate candidate data extraction using Artificial Intelligence (AI) and Machine Learning (ML). It helps categorize data more effectively and parses the most challenging resumes accurately. It also helps identify the most suitable candidate for job openings and enhances decision-making in the recruitment process.  

  RChilli's accurate resume parsing technology makes hiring faster and more effective, helping companies to hire the best talent in a competitive job market. 

• Eliminates Biases:

  A resume parsing software can remove data that users feel can cause bias in their recruiting decisions. Users can identify the data fields and enable/ disable them as per their requirements. Once they disable the fields, the parser will not fetch data for them.

• Multilingual Parsing Support:
  

  The parser supports parsing resumes in 40+ languages, which is essential for global companies processing resumes from diverse linguistic backgrounds

• Easily Imports 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.

• Facilitates Better Hiring Decisions:

  A resume parser provides structured resume data, making it easier to shortlist candidates. This results in relevant candidates in your talent pool, which results in better decision-making.

• Fetch Resumes from Emails:

  You can parse resumes or jobs from single or multiple email inboxes and get resume/job data in your database within less than two seconds.

  
  

How does resume parser work?

[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 parser, revolutionizing our hiring process.

 How to Select A Resume Parser?

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

• Multilingual Parsing Support:

  Parse resumes in 40+ languages for seamless global navigation, ensuring inclusivity and accessibility worldwide.
  

• Resume Parsing in Various Formats:

  Effortlessly process resumes in various formats like DOC, DOCX, PDF, RTF, TXT, ODT, HTM and HTML, DOCM, DOTM, DOT, DOTX, and extracts into a machine-readable output. In real-time, such as XML and JSON format through API, ensuring flexibility and efficiency.
  
  

• Bulk Import:

  Simplify data organization by importing resumes in bulk from partner sites or other sources, with the RChilli parser extracting information from multiple resumes simultaneously.
  
  

• Seamless Integration:

  Integrate seamlessly with existing recruitment software, minimizing disruptions and maximizing productivity.
  

• Comprehensive Data Extraction:

  Extract data meticulously across 200+ fields, from contact information to qualifications and more, providing detailed insights for informed decision-making.
  

• Document Template Creation:

  Get the parsed data in a document template designed to bring uniformity to the presentation.
  
  

• Effective Deep Learning:

  Incorporation of deep learning algorithms for improved data extraction and intelligent identification of resume information for better search results.
  
  

• Email Inbox Integration:

  Email inbox integration allows users to parse resumes from single or multiple email inboxes. This feature requires a simple process and a quick one-time setup.
  
  

• Configurable Data Fields:

  RChilli resume parser can remove the data you feel can cause bias in your recruiting decision. You can identify the data fields and have the option to enable/disable fields as per your requirement. Once you disable the fields, the parser will not fetch data for the same.

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 unstructured 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, or rtf, and extracts it into a machine-readable output such as JSON or XML 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

2. 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

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.

5. Beautify JSON and download parsing output.

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.

        Enterprise HR

• 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.

ROI with resume parser:

When considering getting a resume parsing tool, you must ensure that you receive a return on investment (ROI). When you invest in a lower-quality system, you may find it doesn’t work well. It hasn’t added any benefit to your existing structure. So, why not invest in a better system for better ROI?

Investing in RChilli’s multilingual resume parser won't disappoint you. Our resume parser supports parsing in 40+ languages. It auto-identifies resume language and extracts the data. Our AI resume parser provides unmatched accuracy while converting resumes into XML or JSON output. With a comprehensive feature set such as enriched taxonomy, our best CV parser is beyond comparable. Now that you know the best resume parsing and its associated benefits, don’t waste time reviewing infinite resumes. Get rid of the old-school technique of reviewing resumes manually and invest in RChilli's best resume parser.

 Curious to Know Other Interesting Facts of a Resume Parser?  

Read the following articles:

Explore and empower your recruitment process with RChilli LLM Parser

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

How to create resume parser friendly resume?

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How RChilli resume redactor help in unbiased hiring?

ATS, staffing agencies, Job boards, enterprises, and many others usually use resume parsing software to automate the CV/Resume database. To learn more, stay tuned to RChilli's blog.