Resume, CV & Job Parser

AI Resume Parser with Accurate Data Field Extraction

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The right tool for finding the right talent.

Hundreds of organizations in 50+ countries and 1,600+ top global recruiting platforms trust RChilli to parse their resumes, CVs, and job descriptions. In fact, we parse 4.1 billion+ documents every year in 40+ languages*. Our AI- powered solution integrates seamlessly into any HR technology ecosystem, and gives our customers next-level candidate intelligence with an accuracy, speed, and clarity they never imagined.

Streamline-Candidate-Selection-&-Accuracy

 

Streamline Candidate 
Selection Accuracy

We automate the entire process of extracting, enriching, and structuring your candidate data from that tsunami of resumes and CVs you’re receiving. We also improve the accuracy and consistency of your data through the use of AI, machine learning, natural language processing, and a robust library of skillsets and taxonomies.

 

Reduce Bias

Our resume parser focuses on qualifications and experience instead of candidates’ gender, ethnicity, and other personal characteristics. It can even redact potentially biased information from 57+ resume/CV fields, resulting in truly responsible hiring.

 


 
Reduce Bias in Hiring

 

Benefits of Parsing for Your Business

Make Data-Driven Hiring Decisions

With precise data extraction across 40+ languages*, our resume parser API not only takes the guesswork out of matching the right candidates to your jobs but it slashes the effort that goes into finding them. You’ll filter, search, rank, and match candidates with reliable data and greater accuracy and speed.

Elevate Your Recruiter & Candidate Experience

Lighten the load on your recruiting team with fully automated resume/CV uploads and lightning fast data searches, analytics, and reporting. In addition, our job parser processes job descriptions and vacancies in real time. Plus, one-click resume uploads and job applications will delight your candidates and increase their conversion by up to 194%.

Seamless Integration & 
Easy Implementation

RChilli’s CV parser fits seamlessly into any HR tech stack, no matter how simple or sophisticated it might be … and no matter how it grows or changes in the future. We’ll have our parser integrated into your HR system within 15 minutes, and we’ll manage the entire process, including any customizations you need.

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Increase Your Team’s 
Efficiency & Productivity

Practically eliminate manual data entry … speed up candidate screening, ranking, and matching … and give valuable time back to your busy recruiting team. They’ll be able to focus on more strategic tasks like building stronger candidate relationships, and you’ll benefit from those relationships and a faster time-to-hire—both of which are crucial in today’s fiercely competitive talent market.

Get More Information

  • English
  • Turkish
  • Indonesian
  • Norwegian
  • Spanish
  • Dutch
  • Swedish
  • Croatian
  • French
  • Japanese
  • Italian
  • Hungarian
  • Polish
  • Russian
  • German
  • Thai
  • Korean
  • Romanian
  • Chinese (Simplified)
  • Arabic (Right to Left)
  • Portuguese
  • Danish
  • Ukranian
  • Czech

Why Most of The People Choose RChilli

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.

Though ‘resume parser’ is a commonly used term in the HR tech industry, it is also known as ‘CV Parser’, ‘Resume/CV Extractor’, ‘Resume Extraction Engine’.

A resume parser performs parsing of a resume by extracting the resume information in data fields that can be stored in an ATS (Applicant Tracking System). 

A resume parser API brings automation in the way you screen resumes. It is the perfect replacement for the traditional way of screening resumes for a job profile. It also saves recruiters’ time from manual resume data entry. 

If you are looking at simplifying the recruitment process for the recruiters and candidates, you must use a resume parser API. You can be:

  • Jobboard
  • Enterprise
  • Applicant Tracking System
  • Staffing Firm

It depends upon which resume parser you are using. The RChilli Resume Parser can parse resumes in DOC, DOCX, PDF, RTF, TXT, ODT, HTM and HTML, DOCM, DOTM, DOT, DOTX.

  •  Auto-fill data fields from candidate resume on your candidate apply page
  • Complete candidate information from scanned resumes and through emails
  • Allow chatbots to ask relevant questions to candidates through structured resume data
  • Improve search results by indexing its taxonomy ontologies to Solr/Elasticsearch
  • Configuration of data fields available for a bias-free recruitment
  • Bulk parsing of resume feed imported from a partner site
  • Real-time duplicate check at the time of data entry
  • Simplify the internal referral process with a single resume upload

RChilli resume parser can parse resumes in 40+ languages. The parser automatically identifies the language of the resume and extracts the data. With this multilingual support, recruiters can get quality candidates from across the globe. 

A resume parser should never store the data that it processes. 

RChilli never stores the data and personal identifiable information that is sent to its SaaS Cloud parsing services. 

What Our Customers Are Saying

The fact that we can work with RChilli as a partner and a company to continuously improve resume data accuracy over time is incredible.

Jim-Klien-Review-About-RChilli Resume Parser

Jim Klien

Sr. Director-Technical Solutions, Phenom

RChilli has been a game-changer for the company, enabling us to seamlessly transform unstructured candidate data into structured information that powers our innovative solutions. 

Sudh-Review-About-RChilli

Sudh

CEO, impress.ai

With RChilli, the ability to parse multiple resumes quickly has significantly streamlined our client's operations and improved the overall effectiveness of their recruitment efforts.

Erika-Review-About-RChilli

Erika Clifford

Co-Founder - Just Recruit

Our team has reduced resume screening time by 70%, improving client service and time-to-fill rates by 25-35%.

Michael-Yinger-Reviews-About-RChilli

Michael Yinger

CEO, Resume Sieve

Kovasys is thrilled to integrate with RChilli and has experienced significant time and cost savings. Our recruiters now save 2-3 hours per week, resulting in monthly savings of thousands of dollars, making our processes highly cost-effective.

Alex Kovalenko Reviews About RChilli

Alex Kovalenko

Director of IT Recruitment

With the help of RChilli, recruiters productivity has been significantly boosted. Now, they can save up to 90-95% of their time.

Sujit-Singh-Reviews-About-RChilli

Sujit Singh

CEO, Sharedpro