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My Account and Features
The My Account application serves as a central hub for users to demo all RChilli API integrations, view API test results, and access their Userkey for authentication.
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.
Confidence Score
The confidence score is a score based on the parser logic that how accurately the parser thinks about the extracted fields.

Getting Started
The section guide you through an overview of RChilli and the initial steps for setting up and using the products.
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.
My Account and Features
The My Account application serves as a central hub for users to demo all RChilli API integrations, view API test results, and access their Userkey for authentication.
- 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.
    - 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.
- Job Parser in My Account
  This topic explains the procedure on how to parse JD in RChilli My Account.
- Search and Match
  This section includes topics on how to test Search and Match functionalities within the My Account application.
- Taxonomy
  This section covers topics on testing and utilizing the Taxonomy features within the My Account application.
- Partner Panel User Guide
  RChilli provides a dedicated portal for the partner's to manage their company details.
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.
ERP Integration
The components of RChilli application can be integrated with the Oracle HCM Cloud, Oracle PeopleSoft, Salesforce, SAP, and ServiceNow Application.
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