Enrichment Marketplace

RChilli Redact

The RChilli Redact API is designed to eliminate unconscious bias from the recruitment process by enabling recruiters to focus on candidates' skills and experience. This API masks specific data fields in resumes, helping recruiters and employers make impartial hiring decisions based on merit rather than personal information.

1. Input: Resumes are submitted to the RChilli Redact API in their original format.
2. Redaction: The API identifies and masks sensitive information that may introduce bias. The fields that can be masked include:
   • Personal Information: Name, Date of Birth, Marital Status, Gender, Email, Phone Number, Passport Number, Nationality, Website, Address (Street, City, State, Country, Zip Code), Candidate Image.
   • Employment Details: Current Salary, Institution (Name, City, State, Country, Degree, Period), Employer (Name, City, State, Country, Job Profile, Job Period), Current Employer, Previous Employer.
   • Other Information: Language Known, References, Abbreviations of Name, Institution Name, and Employer Name.
3. Output: The API returns the resume with the specified fields masked with 'X' or 'NULL', maintaining the original format for ease of use.

• Bias Reduction: By masking personal information, the API helps eliminate unconscious bias, allowing recruiters to focus on the candidate's qualifications and experience.
• Compliance: Supports compliance with various anti-discrimination laws and regulations, promoting fair hiring practices.
• Customization: Offers flexible masking options, enabling organizations to choose which fields to redact based on their specific needs.
• Data Integrity: Maintains the original format of the resume, ensuring that the document remains professional and readable.
• Integration: Easily integrates with existing HR systems and Applicant Tracking Systems (ATS), providing a seamless workflow.
• Efficiency: Automates the redaction process, saving time and reducing manual effort for HR professionals.

• Recruitment Agencies: Present unbiased resumes to clients, ensuring fair evaluation of candidates.
• Corporate HR Departments: Promote diversity and inclusion by reducing bias in the initial screening process.
• Job Portals: Offer users the option to submit redacted resumes, enhancing their chances of being considered based on skills and experience.

RChilli LLM Parser - OPEN AI - β

• Improved Contextual Understanding: OpenAI's LLMs enhance the parser's ability to understand the context of various resume sections, improving the accuracy of data classification and extraction.
• Enhanced Entity Recognition: The combined technology improves the identification and extraction of entities such as skills, job titles, and qualifications, even when they are presented in varied formats or terminologies.
• Advanced Data Normalization: Leveraging LLMs allows for better normalization and standardization of data, facilitating more reliable comparisons and integrations with other systems.
• Increased Parsing Accuracy: The hybrid approach reduces errors in data extraction, leading to higher quality datasets for downstream processing and analytics.

• Credit: 1
  The LLM Parser can be activated for individual parsing requests. Each successful transaction deducts 1 credit (with an additional 1 credit deduction for OCR Documentation). If the LLM parser is unable to process a request, the resume will be processed using the standard RChilli Parser as a fallback.
• Note: Currently supported model are GPT-3.5 Turbo and GPT-4o mini.
• For more detail about RChilli LLM Parser - OPEN AI - β visit here.

RChilli LLM Parser - Azure OPEN AI - β

• Improved Contextual Understanding: Azure OpenAI’s LLMs enhance the parser's ability to understand the context of various resume sections, improving the accuracy of data classification and extraction.
• Enhanced Entity Recognition: The combined technology improves the identification and extraction of entities such as skills, job titles, and qualifications, even when they are presented in varied formats or terminologies.
• Advanced Data Normalization: Leveraging Azure OpenAI allows for better normalization and standardization of data, facilitating more reliable comparisons and integrations with other systems.
• Increased Parsing Accuracy: The hybrid approach reduces errors in data extraction, leading to higher quality datasets for downstream processing and analytics.

• Credit: 1
  The LLM Parser can be activated for individual parsing requests. Each successful transaction deducts 1 credit (with an additional 1 credit deduction for OCR Documentation). If the LLM parser is unable to process a request, the resume will be processed using the standard RChilli Parser as a fallback.
• For more detail about RChilli LLM Parser - Azure OPEN AI - β visit here.

RChilli FlexiSense - AzureAI

1. Advanced AI-Powered Analysis:
   • Utilizes state-of-the-art AI models from OpenAI and Azure AI to analyze resumes and JDs, ensuring comprehensive data extraction and insight generation.
2. Flexible Query Options:
   • Offers both default questions and the ability to send custom queries, allowing users to tailor the API's output to their specific needs and requirements.
3. Enhanced Efficiency:
   • Streamlines the parsing process, reducing the time and effort needed to manually analyze resumes and JDs, leading to faster and more effective hiring workflows.
4. Seamless Integration:
   • Integrates easily with existing systems and platforms, enabling smooth adoption without significant disruptions to current processes.
5. Customizable and Scalable:
   • Adaptable to different organizational needs, allowing for scalability across various recruitment scenarios and volumes.
6. User-Friendly and Intuitive:
   • Designed to be easy to use, with straightforward API calls that make it accessible even to users with limited technical expertise.
7. Security and Compliance Awareness:
   • Provides guidance on managing security, legal, and ethical considerations when using AI models, ensuring responsible and compliant usage in line with organizational policies.

• Total Credits: 2 (1 for Resume Parsing and 1 for Flex Request).
  1 additional credit in case of OCR document.
• The maximum limit for queries is 5 per request.
• The default limit for Max Token is 300.
• For more details about RChilli Flex Request API visit here

RChilli FlexiSense - OpenAI

1. Advanced AI-Powered Analysis:
   • Utilizes state-of-the-art AI models from OpenAI and Azure AI to analyze resumes and JDs, ensuring comprehensive data extraction and insight generation.
2. Flexible Query Options:
   • Offers both default questions and the ability to send custom queries, allowing users to tailor the API's output to their specific needs and requirements.
3. Enhanced Efficiency:
   • Streamlines the parsing process, reducing the time and effort needed to manually analyze resumes and JDs, leading to faster and more effective hiring workflows.
4. Seamless Integration:
   • Integrates easily with existing systems and platforms, enabling smooth adoption without significant disruptions to current processes.
5. Customizable and Scalable:
   • Adaptable to different organizational needs, allowing for scalability across various recruitment scenarios and volumes.
6. User-Friendly and Intuitive:
   • Designed to be easy to use, with straightforward API calls that make it accessible even to users with limited technical expertise.
7. Security and Compliance Awareness:
   • Provides guidance on managing security, legal, and ethical considerations when using AI models, ensuring responsible and compliant usage in line with organizational policies.

• Total Credits: 2 (1 for Resume Parsing and 1 for Flex Request).
  1 additional credit in case of OCR document.
• The maximum limit for queries is 5 per request.
• The default limit for Max Token is 300.
• For more details about RChilli Flex Request API visit here

Resume Templater

The Resume Templater API offers a seamless solution for converting any type of resume into a specified template resume format, ensuring consistency and ease of review. This API is designed to enhance the efficiency of the hiring process by providing a standardized resume format tailored to your needs.

1. Parsing: The resume is first parsed using the powerful Resume Parser API, which extracts relevant fields such as contact information, work experience, education, skills, and more.
2. Mapping: The parsed fields (in JSON format) are then accurately mapped to the corresponding fields in the selected template.
3. Templating: The data is seamlessly integrated into the chosen resume template, ensuring a uniform format for all resumes processed.

• Consistency: By converting diverse resume formats into a standardized template, the API ensures uniformity, making it easier for hiring managers to review and compare candidates.
• Efficiency: Automating the resume formatting process saves valuable time and reduces manual effort, allowing HR professionals to focus on more strategic tasks.
• Accuracy: The advanced parsing algorithm ensures accurate extraction and mapping of resume data, minimizing errors and discrepancies.
• Customization: The API supports multiple templates, enabling organizations to customize the format according to their specific requirements.
• Integration: Easily integrates with existing HR systems and Applicant Tracking Systems (ATS), providing a smooth workflow and enhancing the overall hiring process.
• Scalability: Capable of handling a large volume of resumes, making it suitable for organizations of all sizes, from startups to large enterprises.

• Recruitment Agencies: Standardize resumes from various sources to present a consistent format to clients.
• Corporate HR Departments: Streamline the resume review process by converting all incoming resumes into a preferred template.
• Job Portals: Provide users with the option to download their resumes in a standardized format, enhancing their chances of being noticed by employers.

• Total Credits: 2 (1 for Resume Parsing and 1 for Resume Templater).
• For more detail about Resume Templater API visit here.

Geo Location

The GeoLocation API is a versatile tool that provides precise geographical coordinates (longitude and latitude) based on city, state, and country information passed in the API input request. This API enhances location-based functionalities by converting address information into accurate geographical data.

1. Input: The API accepts location information in the form of city, state, and country either from the parsed JSON data of resumes using the Resume Parser or a provided location array.
2. Extraction: The API processes the input data to extract the location list.
3. Geocoding: Using advanced geocoding algorithms, the API converts the extracted location data into corresponding latitude and longitude coordinates.
4. Output: The API returns a JSON response containing all the latitudes and longitudes of the extracted locations.

• Accuracy: Provides precise geographical coordinates, ensuring accurate location data for various applications.
• Automation: Automates the process of geocoding, saving time and reducing manual effort in obtaining longitude and latitude information.
• Integration: Easily integrates with existing systems, enhancing location-based functionalities in HR applications, ATS, and other platforms.
• Flexibility: Supports multiple input formats, including JSON data from the Resume Parser and direct location arrays.
• Scalability: Capable of handling a large volume of location data, making it suitable for organizations of all sizes.

• Recruitment Agencies: Map candidate locations for better job placement and localized recruitment efforts.
• Corporate HR Departments: Analyze geographical distribution of candidates and employees for strategic planning.
• Job Portals: Provide enhanced search and filtering options based on precise geographical locations.
• Logistics and Delivery Services: Optimize routing and delivery planning based on accurate location data.

• Credit: 1
• For more detail about Geo Location API visit here.

ONet Data Mapper

The ONet Data Mapper Plugin is a powerful tool designed to map skills and job profiles with the ONet Database, facilitating a seamless integration that enhances the accuracy and relevance of job descriptions (JDs) and profiles. This plugin is ideal for organizations looking to standardize their job data and align it with industry standards.

1. Input: The plugin accepts job descriptions and skill data.
2. Mapping: It maps the provided skills and job profiles with the ONet Database, identifying corresponding ONet Titles and related skills.
3. Scoring: The plugin includes a scoring mechanism to evaluate the relevance of ONet Titles to specific job descriptions, helping identify the best matches.
4. Categorization: It categorizes job descriptions into their overall categories and associates them with ONet Sector Codes and Sub-Sector Codes, ensuring alignment with industry standards.
5. Output: The plugin returns the mapped job profiles along with the related skills, ONet Titles, and categorization information.

• Standardization: Aligns job descriptions and profiles with the ONet Database, ensuring consistency and standardization across the organization.
• Relevance: The scoring mechanism evaluates the relevance of ONet Titles to job descriptions, ensuring accurate and relevant matches.
• Efficiency: Automates the mapping and categorization process, reducing manual effort and improving efficiency.
• Insightful Categorization: Provides categorization of job descriptions into overall categories and associates them with ONet Sector and Sub-Sector Codes, offering valuable insights and aligning with industry standards.
• Enhanced Matching: Improves the quality of job matches by utilizing the extensive ONet Database, enhancing recruitment and job placement processes.

• Recruitment Agencies: Standardize job descriptions and skills to match with industry standards, improving job placements.
• Corporate HR Departments: Align internal job profiles with the ONet Database, enhancing job descriptions and skill mapping.
• Job Portals: Provide standardized and relevant job matches for users by utilizing ONet data and categorization.

• Credit: 1

Data Mapping Resume

The RChilli LOV (List of Values) Mapper is a specialized tool designed to streamline the integration process by mapping your custom List of Values (LOV) with RChilli's parsed JSON fields from resumes. This tool enhances the efficiency of your workflow by ensuring seamless integration of resume data with your existing systems.

1. Input: The API accepts your custom List of Values (LOV) and the parsed JSON fields from resumes.
2. Mapping: The LOV Mapper aligns your custom values with the corresponding fields extracted by the Resume Parser, ensuring a smooth match between your data schema and the resume data.
3. Output: The tool outputs the mapped values, facilitating seamless integration into your HR systems or Applicant Tracking Systems (ATS).

• Streamlined Integration: Simplifies the process of integrating resume data with your existing systems by providing a clear mapping between custom LOVs and parsed resume fields.
• Customization: Supports your unique data schema, allowing for tailored integration that fits your specific requirements.
• Efficiency: Automates the mapping process, reducing manual effort and minimizing errors, leading to a more efficient workflow.
• Consistency: Ensures consistent data handling and presentation by standardizing the way resume information is integrated and used.
• Flexibility: Adaptable to various HR systems and ATS, making it a versatile tool for organizations of all sizes.

• Recruitment Agencies: Align candidate data with client-specific requirements and systems for better service delivery.
• Corporate HR Departments: Integrate resume data into internal systems seamlessly, enhancing the recruitment process.
• Job Portals: Standardize data presentation across different systems, improving user experience and data management.

• Credits: 0.3
  This service uses extra credits, calculated as 0.3 times the number of fields mapped with RChilli JSON.
  For example, mapping one field like "degree" uses 0.3 credits, while mapping two fields, such as "degree" and "certification," uses 0.6 credits.
• For more detail about Data Mapping Resume visit here.

Job Zone

The RChilli Job Zone API leverages job profiles and skills extracted from Resumes and Job Descriptions to determine the appropriate job zone for each candidate. Job zones categorize occupations based on their required levels of education, experience, and skills, streamlining the recruitment process by quickly assessing candidates against job requirements.

1. Input: The API accepts job profiles and skills extracted from resumes and job descriptions.
2. Analysis: It analyzes the provided data to determine the candidate's qualifications, experience, and skills.
3. Categorization: The API assigns each candidate to a job zone based on the analyzed data, aligning them with occupations that match their qualifications.
4. Output: The API returns the appropriate job zone for each candidate, helping recruiters make informed hiring decisions.

• Standardize Job Requirements: Provides a framework for categorizing occupations based on educational, experience, and training requirements, making it easier to understand and compare different roles.
• Facilitate Recruitment: Helps recruiters and employers match candidates with suitable positions based on their qualifications and career progression, improving the efficiency of the hiring process.
• Enhance Job Matching: By categorizing jobs into zones, organizations can more effectively match candidates to roles that align with their skills and career goals, reducing turnover and improving job satisfaction.
• Compliance and Fairness: Promotes fairness and equity in hiring practices by providing transparent criteria for job qualifications and requirements.
• Efficiency: Automates the assessment process, saving time and reducing manual effort for HR professionals.

• Recruitment Agencies: Match candidates with appropriate job zones, ensuring suitable placements and better job satisfaction.
• Corporate HR Departments: Streamline the recruitment process by categorizing job roles and matching them with candidate profiles.
• Job Portals: Provide users with job recommendations based on their skills and qualifications, enhancing the job search experience.

• Credits: 0.3
• For more detail about Job Zone API visit here.

Full Contact Company Info

Get a highly accurate and complete company snapshot from FullContact in real-time. Please refer to www.fullcontact.com for further information.
Access the most fundamental characteristics of a given company and discover a range of information for a company profile.
Name, Location, Twitter, Bio, Employee, Category Code, Industry Code, Email, Phone, Web Traffic And more?

Clearbit Personal lnformation

Automatically enrich your candidate data in seconds. Just by using email addresses or company domains, the data will be fully enriched with over 100+ data points. Please refer to https://clearbit.com/ for further information.

Bold Schema

Perfectly parse all resumes from the largest resume building software company with 100% accuracy.

Lusha Personal Information

Enrich your candidate data. Use up-to-date data to gain more control over your candidate database. Please refer to https://www.lusha.com/ for further information.
The Lusha person API lets you look up a person's data based on his/her name and the company, or the domain of the company he/she works for. For example, you can get the person's location, email and phone number, as well as his or her social network username.

Full Contact Personal Info

Get complete social information about the candidate. Access meaningful insights about the person in real-time. Please refer to www.fullcontact.com for further information.
Personalize every candidate touchpoint with the following insights.
Age, Gender, City, Country, Education Degree, Birthday, Name, State, Twitter URL, Education Name And More?

Apollo Enrich Person

This enriches a person's information, the more information present in resume, the more likely we can find a match.

Toofr Personal Info

Find anyone's email address in seconds. Find verified email addresses of candidates or search per company and role or find contact details for specific people of interest. Please refer to https://www.findemails.com/ for more information.