Resume Parser

Extract structured data from resumes including contact info, skills, experience, and education.

Resume Parser

Extract structured data from resumes automatically

Resume Input

OR

Parsed Data

🔍

Upload or paste a resume to see parsed data

How Resume Parsing Works

This resume parser uses pattern matching and natural language processing techniques to extract structured data from unstructured resume text. It identifies key sections and extracts relevant information.

What It Extracts:

  • Contact information (name, email, phone, location)
  • Social profiles (LinkedIn, GitHub)
  • Professional summary/objective
  • Skills and technologies
  • Work experience
  • Education history

Best Practices:

  • Use clear section headers (SKILLS, EXPERIENCE, EDUCATION)
  • Include contact information at the top
  • List skills separated by commas or bullet points
  • Use standard date formats for experience and education
  • Keep formatting simple for better parsing accuracy

Note: This is a basic resume parser for demonstration. Parsing accuracy depends on resume format and structure. All processing happens client-side - your resume never leaves your browser.

FAQ

Resume Parser