Home
ERP Integration
The components of RChilli application can be integrated with the Oracle HCM Cloud, Oracle PeopleSoft, Salesforce, and SAP Application.
Integration with Salesforce Application
RChilli API can be integrated easily with the Salesforce application and is used for resume parsing. The integrating solution has an easy-to-use setup, which once configured is ready to call RChilli application for the following:
Customization of JD and Resume page
You can customize the view and the blocks in the resume and JD pages in the Salesforce.

Overview
RChilli is a global leader in Parsing, Matching, and Data Enrichment solutions, seamlessly integrating with recruiting platforms to enhance efficiency and accuracy.
Product Use-Cases
RChilli products cater to a wide range of use cases, allowing users to choose the most suitable solutions based on their specific requirements.
Resume Parser
The RChilli Resume Parser is a scalable solution designed to enhance user experience by efficiently extracting candidate data across 200+ fields through a REST API.
Job Parser
The RChilli Job Parser 3.1 is a scalable solution designed to streamline job data extraction by efficiently processing job descriptions and vacancies through a REST API.
Search and Match
The RChilli Search & Match API enhances your ability to find and match candidates and jobs with greater relevance and accuracy compared to traditional database searching methods.
Taxonomy
RChilli Taxonomy 3.0 offers an extensive and meticulously curated collection of skills and job profiles, providing rich, related information for enhanced job and resume searching capabilities.
Resume Redactor
RChilli Resume Redactor API helps in masking resumes before sending them to the employer.
ERP Integration
The components of RChilli application can be integrated with the Oracle HCM Cloud, Oracle PeopleSoft, Salesforce, and SAP Application.
- Integration with Oracle Cloud HCM
  RChilli API can be integrated easily with the Oracle Cloud HCM (Human Capital Management) application and is used for resume parsing.
- Integration with Oracle PeopleSoft
  RChilli API can be integrated easily with Oracle’s Peoplesoft application and is used for resume parsing. The integrating solution has an easy-to-use setup, which once configured is ready to call RChilli parser to parse the resume in the Oracle’s Peoplesoft application.
- Integration with Salesforce Application
  RChilli API can be integrated easily with the Salesforce application and is used for resume parsing. The integrating solution has an easy-to-use setup, which once configured is ready to call RChilli application for the following:
  - Configuring the Integration
    The one-time integration procedure needs to be performed by the users to use the RChilli app. Once the configuration is completed, users can upload a resume for the parsing.
  - Upload/Update Resume
    This topic describe the procedure on how to upload resumes in the Salesforce using RChilli application.
  - Add Job Description
    This section describe the procedure on how to add JDs (Job descriptions) in the Salesforce using RChilli application. Follow the below topics and procedure to add job description.
  - Search and Match
    Once the resumes and JDs are uploaded (see Salesforce_upload_resume.html and Salesforce_upload_JD.html), you can search the resumes with the keyword and the matching candidates are displayed based on the searched keyword.
  - Email Integrations
    You can integrate your email by configuring webhook URL in the Salesforce.
  - Customization of JD and Resume page
    You can customize the view and the blocks in the resume and JD pages in the Salesforce.
  - Create Custom Object
    This topic describe on how you can create custom object in the Salesforce.
  - RChilli Logs
    When you use RChilli App in Salesforce and get any error or process get failed, then you can see the error in the RChilli Logs tab.
  - Chrome Extension for Salesforce
    Chrome extension for Salesforce improves user productivity by performing important task such as adding resumes, jobs, mapping candidate, etc., using chrome extension.
- Integration with SAP Application
  RChilli API can be integrated easily with the SAP application and is used for resume parsing. RChilli SAP extension has an easy-to-use setup, which once configured is ready to be used for the following:
Partner Panel User Guide
RChilli provides a dedicated portal for the partner's to manage their company details.
Plugins
The RChilli provides Plugins, such as Resume_Templater_plugin.html, Document_Converter_plugin.html, NER_Tagger_plugin.html, Contact Extractor, GeoLocation_plugin.html, Job_Zone_Plugin.html, and flexisense_requests_plugin_overview.html that extend the capabilities of the RChilli products.
RChilli Marketplace
The resume parser output can be enriched by activating the other application workflows that are listed on the Enrichment Marketplace such as Lusha, BOLD, Toofr, Rchilli Redact, LLM Parser, etc.
Plan Subscription and Cost
Details on the transaction costs for using RChilli API, along with instructions on how to subscribe to a new plan or upgrade an existing one.
Run in Postman
You can quickly get started with RChilli APIs using Postman.
Release Notes
Release notes comprise new features, improvements, and bug fixes for the following RChilli products.
Glossary
The glossary includes terms and definitions in RChilli Knowledge Center.

Customization of JD and Resume page

You can customize the view and the blocks in the resume and JD pages in the Salesforce.

Customization on the Resume page

Go to any resume page, click Setting icon and select Edit Page from the drop-down.
On the Custom - Managed section, select RChilliJobMatchCmp, drag and drop in any area of page to get the Matching Jobs block. Click once completed the customization.

Customization on the JD page

Go to any JD page, click Setting icon and select Edit Page from the drop-down.
On the Custom - Managed section, select RChilliResumeMatchCmp, drag and drop in any area of page to get the Matching Resumes block. Click Save once completed the customization.