RChilli + MuleSoft Integration

'RChilli is the Trusted Partner For Parsing, Matching, and Data Enrichment For Global Recruitment Platforms.'

This unique integration will help you get perfect candidates in a fraction of time.

RChilli Features
 

What Makes Us Unique?

Customers in 50+ Countries, 4.1 Billion+ Docs Processed/Year, 1600+ Global Customers, Fortune Customers like Amazon, Hitachi, L&TAverage Processing Time is 300ms Per Document

What Does Our Resume Parser Offer?

*Bulk Import *Email Inbox Integration *Real-time Parsing *Multi-lingual and Regional Support *Configurable Data Fields

RChilli+Mulesoft Integration

*Automate Your Recruitment Process *Enhance Your Talent Database *Provide a Perfect Candidate Experience *Save Time and Efforts on Data Entry *Faster Closing of Jobs
 

RChilli Overview

Whats Amazing About RChilli_ (1)

RChilli is the trusted partner for parsing, matching, and data enrichment, providing companies, in 50+ countries, with solutions built for the future of technology and recruiting. RChilli’s innovative products, backed by an industry-leading tech stack, power the processing of 4.1 billion+ docs a year for 1600+ top global recruiting platforms. Enabling companies to hire better talent faster since 2010, RChilli is ISO 27001:2022, SOC 2 Type II, and HIPAA certified and GDPR compliant.

RChilli also has its multilingual resume parsing app available on Oracle Cloud Marketplace and Salesforce AppExchange.

Our clients are ATS, job boards, and enterprises who need the ability to parse large amounts of resumes or jobs in a scalable manner. They get more productive by using our automated parsing, matching and scoring system that helps them get perfect candidates in a fraction of time.

RChilli Resume Parser

A scalable resume parsing solution for amazing user experience. Our resume parser extracts candidate data in 200+ data fields. 

  • The process converts an unstructured form of resume data into a structured format.
  • A program that analyses a resume/CV created in any format, be it doc, docx, html, pdf, rtf, and extracts into a machine-readable output such as XML, JSON format through API.
  • Provides two methods for resume parsing: 

-Parsing by Resume Public URL 

-Parsing by Resume Binary Data

Know More About RChilli

Projects

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