Quick answer: This tool compares your resume text against a job description and shows a percentage keyword match, plus the specific keywords from the posting that your resume does not yet contain. It uses the same basic keyword-matching technique real Applicant Tracking Systems use, calculated entirely in your browser with nothing uploaded.
Most companies now use an Applicant Tracking System (ATS) to scan resumes for keywords from the job description before a human ever sees them. This tool compares your resume text against a job posting and shows a match score, plus the specific keywords the job description uses that your resume does not.
Everything is compared in your browser. Neither your resume nor the job description is uploaded anywhere.
How the matching works
The tool extracts meaningful keywords from the job description (skipping common filler words like "the" and "experience"), then checks which of those same words already appear in your resume. The percentage is the share of job-description keywords your resume already contains.
This is a keyword-matching check, the same basic technique real ATS keyword filters use, not a judgment of your overall writing quality or qualifications. A low score does not mean you are unqualified; it means your resume may not use the exact words the system is scanning for.
A worked example
Example. A job description that repeats "project management", "stakeholder" and "Agile" throughout will flag a resume that only says "led teams" and "sprint planning" as a weaker match, even though the experience may be equivalent — a useful signal to adjust your wording before applying.
Real-world examples
Before applying to a listing that repeats "cross-functional" and "stakeholder management" throughout, a candidate checks their resume and finds neither phrase appears, despite having done exactly that work under different wording, and adjusts their resume accordingly.
Running the same resume against three different job postings in the same field shows which skills are universally expected versus specific to one employer, helping prioritize what to emphasize in an interview.
Common mistakes to avoid
- Keyword-stuffing skills you do not actually have. It may raise the score but tends to fail honestly at the interview stage.
- Comparing against a vague or very short job description. The fewer real keywords in the posting, the less useful the comparison.
- Treating a low score as a verdict on your qualifications. It measures word overlap, not the quality or relevance of your actual experience.
Frequently asked questions
Is this a real AI model?
No. It uses keyword-frequency matching, the same core technique many commercial "AI resume checkers" are built on. The page is upfront about that rather than overclaiming.
Is my resume uploaded anywhere?
No. The comparison happens entirely in your browser; neither your resume nor the job description is sent to a server.
Should I just stuff in every missing keyword?
No. Add keywords only where they are honestly true of your experience. Keyword-stuffing a resume with skills you do not have tends to fail at the interview stage instead.
Does a 100% score guarantee an interview?
No. It means your resume uses similar language to the posting. Fit, experience level and formatting all still matter.
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Sources and further reading
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