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Resume Keyword Match Scorer

Paste a job description and your resume. See your top-keyword match score, the matched terms, and the gaps — without paying Jobscan or Teal premium. Browser-only, no upload.

Updated May 2026
(Top-N most frequent meaningful words from the JD.)

Paste a JD and your resume above to score the match.

Heuristic only. ATS systems also weight job titles, certifications, and skill synonyms. Don’t keyword-stuff — read the missing list, then rewrite real bullets that include the terms you actually have experience with.

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What it does

Paste a job description and your resume. The tool tokenizes the JD, ranks the most-frequent meaningful words, and shows which ones appear in your resume vs which are missing. The score is the percentage of top-N JD keywords your resume covers.

This is what Jobscan and Teal charge for — the free tier on those usually caps you at 5 scans/month. Ours has no cap because it runs entirely in your browser (we don’t pay for inference). It’s a heuristic, not a true ATS — see the FAQ below for what to do with the result.

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How to use it

  1. Paste the full JD on the left.
  2. Paste your resume text on the right.
  3. Read the match score and the matched/missing keyword lists.
  4. Rewrite real bullets to include missing terms you actually have experience with — never keyword-stuff.

Frequently asked questions

Is this how an ATS actually scores my resume?
Roughly. Most ATS systems do keyword matching plus title-and-skill normalization (e.g. "JS" matches "JavaScript"). Our tool does straight keyword overlap — strict but transparent. If you score >70% on this, you'll usually pass automated screens.
Should I just paste the missing keywords into my resume?
No. Lying about skills shows up in the first 10 minutes of a phone screen. Use the missing list to identify which real experience you have but didn't articulate well, then rewrite the bullet to include the term naturally.
Why is the score lower than Jobscan's?
Different scoring methodology. Jobscan layers in title matching, education, and synonym groups; we don't. Use the score directionally — comparing one of your resume drafts to another for the same JD is more useful than comparing absolute numbers across tools.
Are my resume and JD uploaded anywhere?
No. Both stay in your browser. There's no network call, no analytics tied to text content, no server.

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Show the math + sources

Formula

Score = matched_keywords / top_N_keywords × 100. JD is tokenized (lowercase, alphanumeric + hyphen + plus + dot), stopwords + sub-3-character tokens dropped. Tokens ranked by frequency; top N (default 30) become the keyword set. Resume tokenized identically; coverage = |keyword_set ∩ resume_tokens|.

What this assumes

Pure surface-keyword matching. No NER (named entity recognition), no skill-synonym graph, no title normalization. Real ATS systems (Greenhouse, iCIMS, SAP SuccessFactors) layer additional signals — treat this score as directional, not authoritative. Keyword-stuffing inflates the score but fails on a phone screen.

Sources

  1. Bogers et al. — A study of explainability features in resume-job matching (RecSys 2018)
  2. SHRM — Talent Acquisition Benchmarking 2024
Methodology last verified: 2026-05-03

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