Our 8-layer ATS engine scores your resume the way machines do. See exactly where you're losing points and fix it in real time. Free, no signup required.
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Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.
| Layer | What It Checks | Why It Matters |
|---|---|---|
| Document extraction | File format, encoding, readability | Corrupted or image-only PDFs fail immediately |
| Layout analysis | Tables, columns, headers, footers | Multi-column layouts break field extraction |
| Section detection | Experience, education, skills headings | Non-standard headings cause sections to be missed |
| Field mapping | Name, email, phone, dates, titles | Missing contact info is a common cause of immediate rejection |
| Keyword matching | Job-specific terms, skills, certifications | Keyword overlap affects recruiter search visibility and ATS scoring |
| Chronology check | Date ordering, gap detection | Reverse-chronological order is expected by most ATS |
| Quantification | Metrics, numbers, measurable outcomes | Quantified achievements help human reviewers and some scoring models |
| Confidence scoring | Overall parse quality and completeness | Low-confidence parses get deprioritized in results |
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