AI-Powered Resume Parsing & Scoring
Automate Shortlisting. Hire Smarter.
The Resume Parsing & Scoring feature in HRgenix transforms traditional recruitment by using advanced AI to automatically extract and evaluate key resume data—saving valuable time for recruiters and ensuring better hiring decisions. This intelligent system helps you identify the most qualified candidates instantly, without having to manually sift through hundreds of resumes.
With real-time parsing and smart scoring capabilities, recruiters can streamline the screening process, maintain consistency in evaluations, and build stronger candidate pipelines with ease.
Key Capabilities
Smart Resume Parsing
Our AI engine automatically extracts structured information from resumes including name, contact details, work history, skills, certifications, education, and more. It supports multiple file formats like PDF, DOCX, and TXT, ensuring a seamless experience for candidates and recruiters alike.
Intelligent Scoring Engine
Each parsed resume is evaluated and scored against customizable job criteria such as required skills, years of experience, educational background, and certifications. Candidates are ranked based on relevance, giving recruiters a prioritized list without bias or manual effort.
Keyword & Contextual Matching
The system goes beyond basic keyword matching by understanding the context in which skills and experiences are mentioned. It identifies synonyms, related terms, and industry-specific language to ensure a more accurate evaluation of candidate fit.
Customizable Rules & Weightage
Recruiters can define scoring rules based on role-specific priorities. Whether you value technical certifications more than soft skills, or leadership experience over academic scores, HRgenix adapts scoring to match your hiring strategy.
Real-Time Results & Shortlisting
Parsed and scored resumes appear instantly in your HR dashboard with visual indicators, rankings, and insights. With top candidates highlighted automatically, recruiters can act quickly and schedule interviews with the best-fit profiles.
