Home
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.
Resume Parser Features
The following topics in this section describe the features of the RChilli resume parser.
Confidence Score
The confidence score is a score based on the parser logic that how accurately the parser thinks about the extracted fields.

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.
  - REST API Integration
    Resume Parsing API will act as a parsing service via Rest API call and return the desired output as JSON in readily structured version. RChilli resume parser extracts the resume information in 140+ data fields.
  - Bulk Upload Integration
    RChilli Bulk Upload is used to parse multiple resume files that are placed in the FTP server. The multiple resumes placed in the FTP server are parsed, and their JSON output is posted on your webhook URL.
  - Email Inbox Integration
    Email inbox integration allows users to parse resumes from registered email with RChilli email inbox. This feature requires a simple process and a quick one-time setup.
  - RScript
    With RChilli RScript, a web plugin, reduce parsing integration time from 2 hours to 2 minutes.
  - Resume Quality
    The Resume Quality section in the resume parser output gives the missing details, problems, or unnecessary information in the resume.
  - Configurable Data Fields
    RChilli resume parser can remove the data which you feel can cause bias in your recruiting decision.
  - Document Template Creation
    The resume parser parsed the data in a designed document template to bring uniformity to the presentation.
  - Executive/Management Summary
    The resume parser parsed the data and helps in showing the synopsis of the resume to the recruiters.
  - Auto-fill Data Fields
    RChilli resume parser allows candidates to submit their applications with a single click by simply uploading their resumes.
  - Enhance Search Results
    The resume parsing capabilities have been enhanced using RChilli Taxonomy 3.0. Users can enhance their resumes/job searching capabilities.
  - Confidence Score
    The confidence score is a score based on the parser logic that how accurately the parser thinks about the extracted fields.
- 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.
- 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.

Confidence Score

The confidence score is a score based on the parser logic that how accurately the parser thinks about the extracted fields.

The parser in JSON output returns a confidence score for the fields mentioned below (with sample output):

Name

"Name": {
			"FullName": "Johan Marc Doe",
			"TitleName": "",
			"FirstName": "Johan",
			"MiddleName": "Marc",
			"LastName": "Doe",
			"FormattedName": "Johan Marc Doe",
			"ConfidenceScore": 10
		},

Email

"Email": [
			{
				"EmailAddress": "johnndoee@gmail.com",
				"ConfidenceScore": 10
			}

Phone

"PhoneNumber": [
			{
				"Number": "202-819-6470",
				"ISDCode": "+1",
				"OriginalNumber": "202-819-6470",
				"FormattedNumber": "+1 202-819-6470",
				"Type": "Phone",
				"ConfidenceScore": 10
			}

Address

"Address": [
			{
				"Street": "437 William Way",
				"City": "Syracuse",
				"State": "NY",
				"StateIsoCode": "US-NY",
				"Country": "USA",
				"CountryCode": {
					"IsoAlpha2": "US",
					"IsoAlpha3": "USA",
					"UNCode": "840"
				},
				"ZipCode": "13203",
				"FormattedAddress": "437 William Way, Syracuse, NY, 13203, USA",
				"Type": "Present",
				"ConfidenceScore": 10
			}

Institution and sub-institution

"Institution": {
					"Name": "Fairleigh Dickinson University",
					"Type": "University",
					"ConfidenceScore": 10,

Degree

"Degree": {
					"DegreeName": "Bachelor of Sciences in Biology Chemistry",
					"NormalizeDegree": "Bachelor of Sciences",
					"Specialization": [
						"Biology Chemistry"
					],
					"ConfidenceScore": 10
				},

Employer

"Employer": {
					"EmployerName": "Golden Valley Medical Groups",
					"FormattedName": "",
					"ConfidenceScore": 8
				},

Job profile

	"JobProfile": {
					"Title": "Manager",
					"FormattedName": "Manager",
					"Alias": " team managers,  team mgr, co-head, Group Manager, Group Managers, manager team, Manager-in charge , part time manager, Team Manager",
					"RelatedSkills": [
						{
							"Skill": "Communication",
							"ProficiencyLevel": "Proficient"
						},
					],
					"ConfidenceScore": 8