Rchilli

Score6.3 out of 10

3 Reviews and Ratings

What is Rchilli?

Rchilli provides Resume Parsing, Matching, and Data enrichment for global recruiting platforms.

Typically, they state their clients are ATS, job boards, and enterprises who need the ability to parse large amounts of resumes or jobs in a scalable manner. They need automated onboarding of candidates, and smarter matching and scoring systems to stay competitive in their markets. Rchilli can connect to any module, language, and format to streamline the user's processes. The vendor states users become more productive by, using automated parsing, matching, and scoring system to get better candidates in a fraction of time.

Resume Parser:

RChilli’s resume parser is a deep learning/AI framework that identifies 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 an unstructured form of resume data into a structured format.

Features of RChilli’s resume parser:

Can parse resume of all formats, be it PDF, doc, docx, HTML, RTF
Can be easily integrated with your existing software
Has a detailed library of taxonomies to identify candidate skills
Automatically identifies region and language and parse information accordingly
Extracts resume information into 140+ data fields
Improves candidate experience and strengthen employer branding

Categories & Use Cases

Michael Yinger View profile

COO in Corporate at ResumeSieve, Inc. (11-50 employees employees)

Pros

Excellent support - we hear back from them quickly.
Great customer recognition via social media and their marketing efforts
A very accurate parsing engine.
Flexible pricing that fits our growth.

Cons

So far, we have nothing to complain about.

Most Important Features

Parsing of resumes and job descriptions.
A "learning" system that can handle changes in the input documents.
Access to the taxonomy used in the parsing.

Return on Investment

Using Rchilli saved us thousands of dollars in development costs and avoided on-going maintenance.
Using their taxonomy's means we don't have to maintain our own, saving us time and subscription costs.

Alternatives Considered

DaXtra Parser and Sovren Resume Parser

Other Software Used

Google Workspace (formerly G Suite), Azure App Service, DocuSign, Carta (formerly eShares), monday.com, MindManager

Krishna N View profile

Deputy General Manager in Product Management at Ramco Systems (1001-5000 employees employees)

Pros

Parsing of Candidate Resumes with good accuracy
Around 70 to 80 different Candidate Fields
Supports Individual, Bulk Online and Offline Parsing

Cons

Accuracy of Parsing can be increased further from the current 70 to 80%
Bringing Subuser level options for tracking usage
Dashboard of support calls for every customer

Most Important Features

Quick Parsing of Resumes with good Parsing Accuracy percentage
Supports multiple modes like Online, Offline etc
Very good support team

Return on Investment

RChilli is being bundled as service as part of our Recruitment Module and has given good benefits to our Customers and their Recruiters
Some of our big customers have been able to parse thousands of resumes using RChilli
Easy and Economical to use with good benefits to both us and our Customers