RChilli Global Recruitment Trends Oct 2022

AI Resume Parser with Accurate Data
Field Extraction

Automate your resume screening process to hire the best talent

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CV/RESUME PARSER API

Why You Should Choose Our Resume Parser

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FAST AND ACCURATE

Accurately parses resumes/CVs into 140+ data fields within average speed of 300ms.

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RICH TAXONOMY

A detailed library of Skillsets and Taxonomies for better finding of
candidate skills and expertise.

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MULTILINGUAL RESUME PARSER

Parses resumes in 30+ languages namely English, German, French, Spanish, Polish, Portuguese etc.

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USES AI AND NLP

Deep learning/AI framework that identifies complete information from resumes.

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GDPR COMPLIANT

We’ve launched a new update to our parsing API keeping the GDPR guidelines in mind.

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EASY TO INTEGRATE

In just 15minutes, integrate RChilli parser into any Job-board or Application. 

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RESUME PARSER API

Parse Resumes effortlessly via MyAccount web API and provides desired output as JSON in return.

Scalable-&-configurable 

SCALABLE AND CONFIGURABLE

Meet high volume requirements
using Dynamic Scaling, Auto-Load Balancing which supports Multi-threaded parsing.

BENEFITS OF OUR RESUME PARSER

How Does Our Resume Parser Help Your Business?

candidate (2) Candidates can fill profile in less than 10 sec.
hourglass Save employees’ time in internal
equality Remove unconscious bias through configurable fields.
data-3Get structured job data from job feeds to scale operations
dashboard (1)Get resume data from emails in less than two seconds.

FEATURES OF OUR RESUME PARSER

Resume parser API converts unstructured data into 140+ fields in real-time

JD parser processes job descriptions in real time through an agile API

Bulk import

Email integration

Easy implementation

Highly configurable

PARSE CVs IN 30+ LANGUAGES

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

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WE SERVE

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ATS

Make Your ATS Better, Faster, Stronger With Amazing User Experience, Real-Time Parsing

 


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JOB BOARD

Deliver Amazing User Experience To Recruiters And Candidates. Improve Candidate Conversion By 194%

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STAFFING COMPANIES

Enjoy The Power Of Our Solutions And Manage Resume Data With Ease. Find A Quick Match And Save Time

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ENTERPRISES

We Add Value To Your Existing Recruitment System And Accelerate Your Hiring Process. Faster Closing Of Jobs

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FAQs

A resume parser is an AI-based software that converts an unstructured form of resume data into a structured format. 

It is a technology using which you can process resumes online. The parser extracts the data in an intelligent way into various data fields and delivers the structured data.

These data fields can be education, experience, skills, contact information, qualification etc.

To sum up, a resume parser can organize and analyze the resume data much faster than humans, bringing automation in your recruitment process.

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

It depends upon which resume parser you are using. RChilli resume parser can parse resumes in 30+ languages. The parser automatically identifies the language of the resume and extracts the data. With this multilingual support, the recruiters can get quality candidates from across the globe. 

Let’s share the working of a resume parser with the following steps:

1. A candidate visits the career page of an organization.
2. He/She applies for the job by clicking on the ‘Submit Your Resume’ button.
3. The resume is uploaded to the company’s ATS
4. The resume parser reads, analyzes the resume and extracts the candidate data from the resume.
5. The parser sends the structured data in the form of data fields into the company’s ATS/CRM.
6. The recruiters can quickly shortlist candidates based on the structured information and find candidates who match the job position.

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 Say About Us?

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-Jim Klien, Sr. Director-Technical Solutions, Phenom

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

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-Manoj Tiwari, VP-Business & Product Dev., Berkshire Associates

“RChilli responds immediately to all our queries. It has an excellent work culture & business approach.

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-Sudh, CEO, impress.ai

“RChilli is the most reliable, fastest, and easiest to integrate parsing solution.