Resume Parsing for Recruiters: Build a Candidate Comparison Spreadsheet

A company posting two open roles might receive 200–500 resumes. Resume parsing turns that pile into a structured, filterable spreadsheet.

What Resume Parsing Extracts

  • Full Name, Email, Phone, Location
  • Current Job Title and Company
  • Years of Experience
  • Skills and Technologies
  • Education (Degree, Institution, Year)
  • Certifications and Previous Companies

Step-by-Step: Build Your Candidate Comparison Spreadsheet

  1. Download all resumes from your ATS or job portal
  2. Upload to SheetConvert, select Resume type
  3. Export the .xlsx with one row per candidate
  4. Add evaluation columns: Shortlist Status, Fit Score, Notes
  5. Filter by skills, experience, or education to shortlist

Time Savings

Manual review and data entry for 100 resumes: ~16 hours. With SheetConvert: ~1 hour (2 minutes AI processing + review time). That's 15 hours saved per hiring cycle.