What is resume parser?

A resume parser is a deep learning/AI framework that extracts complete information from resumes, analyzes, organizes, and enriches it using its taxonomies.

What does a resume parser do?

A resume parser extracts analyzes and organizes data from resumes to identify suitable candidates.

What does a resume parser do?

A resume parser processes, extracts, and organizes information from resumes to help identify the best-fit candidates efficiently.

How many companies use resume parsers?

The use of resume parser is widespread among organizations to streamline their recruitment processes. Notably, 99% of Fortune 500 companies utilize Applicant Tracking Systems (ATS) with resume parsing functionalities.

What are the benefits of resume parsing?

Resume parsing automates data extraction into over 200 fields, saving time and improving recruitment efficiency. It enhances accuracy with AI and supports multilingual parsing, ensuring a seamless experience for global hiring. Features like bias elimination, bulk parsing, and improved candidate experience strengthen employer branding and streamline hiring.

What is LLM resume parser

An LLM (Large Language Model) Resume Parser leverages advanced AI models, like GPT or similar, to extract, analyze, and organize data from resumes. LLM-based parsers understand the context, meaning, and nuances in resumes, enabling them to process unstructured or complex formats more accurately. These parsers excel in multilingual support, semantic analysis, and adaptive learning, making them ideal for modern, global hiring processes.

Resume Parser- Advanced Resume/CV Parsing to Extract Data Accurately

The Right Parsing Solution for Finding the Right Talent

RChilli provides Accurate Data Extraction with its resume parser API, seamlessly integrating into any HR technology ecosystem. Hundreds of organizations in 50+ countries and 1,600+ top global recruiting platforms trust RChilli to parse their resumes, CVs, and job descriptions. We parse over 4.1 billion documents every year in 40+ languages*. Our AI-powered solution delivers next-level candidate intelligence with accuracy, speed, and clarity beyond expectations.

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.

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.

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

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

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 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

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

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

CEO, Sharedpro

AI Resume Parser with Accurate Data Field Extraction

The Right Parsing Solution for Finding the Right Talent

Streamline Candidate
Selection Accuracy

Reduce Bias