Free Tool

ATS Resume Scanner

Paste your resume and a job description. Get a keyword match score, missing keywords, and ATS readability check — instant, client-side, nothing sent to a server.

Heuristic tool — not a real ATS — use as a guide, not gospel
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Match Score

Analyzing your resume...

Exact matches
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Stem matches
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Synonym matches
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Missing
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Missing Keywords (in JD, not in resume)

Weak Keywords (low frequency)

Matched Keywords

Resume Section Coverage

ATS Readability Flags

Recommended Additions

Honest disclaimer: This is a heuristic analysis based on keyword frequency and stemming — not a real ATS. Actual applicant tracking systems (Taleo, Workday, Greenhouse, iCIMS, Lever) each use proprietary scoring logic that includes context weighting, job family matching, and ML-based parsing. Use this tool to identify gaps and improve alignment, but don't treat any single score as ground truth. A 90% score here does not guarantee a real ATS pass.

How ATS Systems Actually Work

1. Parsing Before Scoring

Before any scoring happens, the ATS parses your resume into structured fields: name, contact, education, work history, skills. If your resume uses tables, text boxes, or unusual fonts, the parser may mangle content entirely — which is why plain, clean formatting is critical. A keyword buried in an unrecognized table may as well not exist. Sources: Jobscan, SHRM.

2. Keyword & Relevance Scoring

Modern ATS rank candidates by comparing resume text to the job description using keyword frequency, section weighting (skills section counts more), and recency. Enterprise systems like Taleo use ML models trained on millions of successful hires. Synonyms are sometimes recognized (e.g., "JavaScript" and "JS") — but exact matches nearly always score higher. The safest strategy: mirror the job description's exact language where accurate. Source: Talent.com.

3. Why 75% of Resumes Are Eliminated

Research cited by SHRM and Harvard Business Review estimates that 75% of resumes are rejected by ATS before a human sees them. The main causes: keyword mismatches, parsing failures from complex formatting, and missing required credentials. The fix is straightforward — read the job description carefully, use its exact terminology, and submit plain-text or simple formatted Word/PDF documents. No graphics, no columns, no headers-in-text-boxes.