Seamlessly extracts relevant information from resumes and applications, includes Contact details, Education and qualifications, Work experience, Skills and certifications, Keywords and other relevant data

Converts extracted data into a structured format, regardless of the original file type, ensuring easy organization and analysis.

Stores parsed data directly into ARSSS's central database, making it accessible for matching, searching, and analysis.

Processes resumes and applications in various formats, including PDF, Word, TXT, HTML, and more, eliminating compatibility issues

Allows users to define specific data fields to be extracted, tailoring the parsing process to their unique needs and requirements.

Utilizes an intelligent algorithm to match candidates to open positions based on a comprehensive set of criteria, includes Skills and experience, Qualifications, Education and certifications, Keywords, Location preferences, Salary expectations and Company culture fit.

Allows users to assign different weights to certain criteria based on their hiring priorities, tailoring the matching process to specific needs.

Generates a ranked list of candidates for each position, with the most relevant candidates appearing at the top, streamlining the selection process.

Goes beyond skills and experience, considering factors like company culture fit and salary expectations to ensure long-term success.

Matches candidates to open positions based on skills, experience, and fit, saving time and boosting hiring accuracy

Extracts data from resumes and applications, eliminating manual data entry and ensuring consistent formatting.

Organizes candidate information, tracks applications, and facilitates communication, streamlining the entire recruitment process.

Heat maps for data visualization, resume ranking based on custom weightage, and multi-format file compatibility.