Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.

What file formats are supported?

PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.

How is the ATS score calculated?

Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.

Can ATS read PDF resumes?

Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.

How do I improve my ATS score?

Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

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Key Takeaways

75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

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

Frequently Asked Questions

Is ResumeGeni free?: Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?: PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?: Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?: Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?: Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

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