How do Applicant Tracking Systems (ATS) parse resumes, and how can candidates optimize for ATS screening?

An Applicant Tracking System (ATS) is recruitment software (e.g. Workday, Greenhouse, Lever, Taleo) used by enterprise employers to ingest, parse, filter, and rank job applications.

How ATS Parsing Works

1. Text Extraction: The ATS strips graphical elements, parsing raw ASCII/Unicode text streams. Multi-column tables, text boxes, and complex header graphics often break extraction.
2. Entity Extraction & Taxonomy Tagging: The parser identifies standard section headings (Work Experience, Education, Skills, Certifications) and extracts job titles, dates (MM/YYYY), company names, and degrees.
3. Semantic Keyword Matching: Matches candidate skills against the recruiter's Job Description keywords, calculating an ATS Match Score.

Best Practices for 95%+ ATS Compliance

• File Format: Clean single-column PDF or docx with selectable text (never flattened image scans).
• Standard Section Headings: Use standard titles like Work Experience, Education, Technical Skills, rather than creative aliases like

  My Jou
  ey

  or What I Know.
• Keyword Alignment: Integrate exact keywords from the job description (e.g. Python, Docker, CI/CD Pipelines) naturally within bullet points.
• Avoid Text Inside Tables & Shapes: Many legacy parsers skip content nested inside Microsoft Word shapes or floating text boxes entirely.