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What is Sovren Parser?

Analyze resumes and job postings with remarkable efficiency and accuracy. We proudly claim that our parsing capabilities for resumes, CVs, and job orders are unmatched in terms of precision. Mistakes can severely impact both your financial outcomes and the reputation of your organization, which is why our parser delivers accuracy that can exceed that of competitors by up to tenfold. Expect processing times around 500 milliseconds per transaction, making us anywhere from 5 to 20 times faster than the closest competitors. Moreover, our system supports the concurrent handling of multiple transactions, greatly improving throughput. Looking to process a million resumes in just one morning? It’s absolutely achievable with our technology. Should you need tailored parsing solutions for various clients and specific transactions, we are fully equipped to assist. You can manage the activation or deactivation of different sub-parsers, including those designed for patents and security clearances, customized for each job order, resume, or CV parsing operation. Our comprehensive skills taxonomy features over 24,000 top-tier skills, which can be easily expanded, modified, or replaced with your own classifications. Additionally, you have the freedom to adjust how skills are parsed for each transaction, accommodating thousands of unique skill lists to meet diverse requirements. This level of adaptability guarantees that our system effectively caters to the specific needs of every client, ensuring exceptional service and satisfaction. The flexibility of our system not only streamlines processes but also enhances overall effectiveness in managing recruitment tasks.

What is RChilli?

RChilli stands out as a reliable collaborator in the domains of Job and Resume parsing, matching, and data enrichment. By leveraging AI and NLP technologies, we enhance both the candidate journey and the efficiency of recruiters. Our typical clientele includes ATS providers, job boards, and corporations that require the capability to efficiently process vast numbers of resumes on a scalable level. To maintain their competitive edge, these organizations seek advanced matching and scoring algorithms along with automated onboarding solutions for job applicants. Our systems can seamlessly integrate with any module, language, or format, facilitating optimal streamlined operations. This enables our clients to boost their productivity through automated parsing and matching, significantly reducing the time needed to identify the ideal candidates. Moreover, the RChilli Resume Parser has recently been made accessible in both the Salesforce and Oracle Cloud Marketplace, further expanding its reach and usability.

Media

Media

Integrations Supported

ALL In Learning
Enwage
Hirestream
Oracle Fusion Cloud HCM
QJumpers
Quickwork
WorkLLama
Workfolio Website
iTrent

Integrations Supported

ALL In Learning
Enwage
Hirestream
Oracle Fusion Cloud HCM
QJumpers
Quickwork
WorkLLama
Workfolio Website
iTrent

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$75/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sovren Group

Date Founded

1996

Company Location

United States

Company Website

www.sovren.com

Company Facts

Organization Name

RChilli

Date Founded

2010

Company Location

United States

Company Website

www.rchilli.com

Categories and Features

Resume Parsing

Automated Application Input
Automatic Updating
Customizable Macros
Data Extraction
Multi-Language
Resume Import
Resume Management
Semantic Matching
Social Media Corroboration
Sort / Filter
White Label Option

Categories and Features

Resume Parsing

Automated Application Input
Automatic Updating
Customizable Macros
Data Extraction
Multi-Language
Resume Import
Resume Management
Semantic Matching
Social Media Corroboration
Sort / Filter
White Label Option

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