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.

Built on a deep learning and AI framework, the parser identifies and enriches resume data using RChilli’s extensive Taxonomy, which includes over 3 million skills and 2.4 million job profiles in multiple languages. This robust taxonomy enhances search capabilities by providing skills and job aliases for more accurate results.

The parser converts unstructured resume data into a structured, machine-readable JSON format, supporting various file types such as doc, pdf, txt, html, and more. It intelligently segregates information into key fields like contact information, work experience, education, and skills, helping users quickly identify the most relevant resumes.

Key Features

  • REST API Integration: Seamlessly integrates with your systems using a REST API to extract over 200 data fields.
  • Multi-format Support: Analyzes and converts resumes in various formats, including doc, docx, pdf, rtf, txt, html, htm, odt, docm, dotm, dot, dotx, mht, png, and jpeg.
  • Bulk Import and Parsing: Allows for the processing of multiple resumes at once, improving efficiency.
  • Email Inbox Integration: Processes resumes directly from email inboxes for streamlined data extraction.
  • Multi-lingual and Regional Support: Supports multiple languages and regional formats, ensuring global applicability.
  • Configurable Data Fields: Enables customization of data fields to match specific requirements.
  • RScript: Offers scripting capabilities for custom data processing and extraction tasks.
  • Document Template Creation: Facilitates the creation of standardized document templates for consistent output.
  • Executive/Management Summary Creation: Generates summaries tailored for executive or management roles.
  • Field Segregation: Automatically categorizes data into fields such as name, qualification, and experience.
  • Taxonomy Integration: Leverages an extensive skills and job profiles library for enhanced search accuracy, with over 3 million skills and 2.4 million job profiles in multiple languages.
  • Real-Time Processing: Conducts real-time duplicate checks, auto-fills data fields, and processes resumes from emails within seconds.

For more details, refer to Resume Parser Features.

Use Case

  • Data Entry Automation: Real-time duplicate checks and simplified internal referral processes.
  • Enhanced Candidate Experience: Auto-fill data fields on application pages and chatbot integrations for relevant candidate queries.
  • Improved Search Results: Enhances Solr/Elasticsearch search outcomes with taxonomy ontologies.
  • Bias-Free Recruitment: Configurable data fields to eliminate unconscious bias.
  • Efficient Resume Management: Bulk parsing of resumes from partner feeds and quick integration of the 'apply now' button on career pages.

How Resume Parser Helps

  • Speed: Candidates can complete their profiles in under 10 seconds.
  • Accuracy: Enhances search results with taxonomy integration.
  • Efficiency: Processes millions of resumes overnight and retrieves resume data from emails in under two seconds.
  • Flexibility: Allows for bias-free recruitment through configurable data fields and masking of resumes before sharing with recruiters.
  • Convenience: Quick integration with existing systems, saving time and effort in internal referrals and candidate management.

For more details on the information extracted, refer to the Response Schema and for specific use cases, refer Resume Parser Use Case.