N-Gram Frequency Analysis · Free & Offline

Resume Keyword Scanner — Match Job Description Keywords

Paste any job description to extract ranked technical keywords and compare against your resume to uncover missing terms before submitting.

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Why Job Description Keywords Decide Your ATS Fate

Corporate applicant tracking systems are search engines for recruiters. When a hiring manager opens a job requisition receiving 400 applications, they don't read 400 resumes. They enter boolean search queries: "React AND TypeScript AND AWS AND Microservices".

If your resume contains the experience but omits the exact terminology, your application gets buried at the bottom of the candidate stack.

Frequently Asked Questions

How do ATS keyword scanners extract keywords?

Scanners use Natural Language Processing (NLP), frequency analysis (TF-IDF), and n-gram parsing to isolate repetitive technical requirements, skill phrases, and operational tools while stripping common stop words.

What is considered a good keyword match percentage?

Aim for at least 70% to 80% overlap of the critical hard skills and tools mentioned in the job description. Anything lower risks automatic filter rejection.

Can I get penalized for repeating keywords too many times?

Yes. Keyword stuffing (repeating words unnaturally or hiding white text) triggers spam filters in modern systems like Workday and Taleo. Keywords should be woven into real accomplishments.

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