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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.
Response Schema
The following topics describe the output or fields in the resume parser response.
Publications
The following type of output is generated to show the candidates publications details from the resume.

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.
- API Information
  RChilli's API suite enables quick and seamless integration, giving users easy access to all RChilli services. From resume parsing to job management and advanced search, our APIs simplify and automate HR processes, enhancing recruitment efficiency.
- Resume Parser in My Account
  This topic explains the procedure on how to parse resume in RChilli My Account.
- Resume Parser Features
  The following topics in this section describe the features of the RChilli resume parser.
- Language Support
  RChilli resume parser supports parsing of multiple languages, it does not require any separate configuration. The parser auto-identifies the languages of the resume and extracts the information.
- Sample Code
  This topic gives resume parser code samples to get you start quickly.
- Request Example
  To get the parsed and structured output data, send a POST request to the resume parser API URL.
- Response Example
  Follow the below sample resume parser response in the JSON format and fields details in c_RChilli_resume_parser_response_Schema.html.
- Resume Parser Fields
  The below table lists all the output fields in the resume parser response.
- Response Schema
  The following topics describe the output or fields in the resume parser response.
  - Resume Parser Data
    The following type of output is generated for each Resume Parser Data element:
  - Personal Information
    The following type of output is generated for personal information of the candidates:
  - Identity Document Details
    The following type of output is generated for the identity document details of the candidates:
  - Contact Details
    The following type of output is generated for the contact details of the candidate.
  - Salary
    The following type of output is generated for the salary details of the candidate.
  - Current Location
    The following type of output is generated for preferred location of the candidates.
  - Preferred Location
    The following type of output is generated for preferred location of the candidates.
  - Qualification
    The following type of output is generated for the qualification details of the candidate.
  - Experience
    The following type of output is generated for the experience of the candidate.
  - Skill
    The following type of output is generated for the skills of the candidate.
  - Publications
    The following type of output is generated to show the candidates publications details from the resume.
  - Achievements
    The following type of output is generated to show the candidates achievements details from the resume.
  - Certifications
    The following type of output is generated to show the candidates certifications details from the resume.
  - Detail Resume
    The Detail Resume fields contains the plain text of the resume.
  - Resume Language Code
    The following type of output is generated to show the language code for the language in the resume.
  - API Info
    API info fields returns the following information about the user keys used for parsing.
  - Resume Quality Schema
    The following type of output is generated for the Resume Quality section in the resume parser output.
- Error Code
  This topic lists the error codes of resume parser.
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.
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.

Publications

The following type of output is generated to show the candidates publications details from the resume.

Publication JSON Layout

 "Publication": "Peer Reviewed Journal Articles :  \r Tiberio M Frisoli, Michele Voeltz. Structural Heart Disease Monograph in Clinical Updates in Women's HealthCare. American College of Obstetricians and Gynecologists.  \r  \r Greenbaum AB, Frisoli TM. Editorial : Surgical vs Transcatheter Paravalvular Leak Repair. JACC : Interventions; Accepted, in press",

Segregated Publication

The following type of output is generated to show the segregated publications details from the resume.

PublicationTitle: This field contains title of the publications.
Publisher: This field contains name of the publisher who has published the publication.
PublicationURL: This field contains the URL of the candidate’s published article.
Authors: This field contains the name of the person who has written the article and multiple names of authors are mentioned by comma separation.
Description: This field contains the description of the candidate’s published article.

Segregated Publication JSON Layout

"SegregatedPublication": [
             {
	        "PublicationTitle": "Structural Heart Disease Monograph in Clinical Updates in Women’s HealthCare",
	        "Publisher": "American College of Obstetricians and Gynecologists",
	        "PublicationNumber": "",
	        "PublicationUrl": "",
	        "Authors": "Tiberio M Frisoli, Michele Voeltz",
	        "Description": "Tiberio M Frisoli, Michele Voeltz. Structural Heart Disease Monograph in Clinical Updates in Women’s HealthCare. American College of Obstetricians and Gynecologists"
	    }, {
	        "PublicationTitle": "Surgical vs Transcatheter Paravalvular Leak Repair",
	        "Publisher": "JACC",
	        "PublicationNumber": "",
	        "PublicationUrl": "",
	        "Authors": "Greenbaum AB, Frisoli TM",
	        "Description": "Greenbaum AB, Frisoli TM. Editorial : Surgical vs Transcatheter Paravalvular Leak Repair. JACC : Interventions; Accepted, in press"
}
        ]