Free

JD Keyword Extractor

Paste a job description and see the skills it asks for, split by must-have, preferred and merely mentioned. Free forever, no account, no credits, and no AI involved at any point.

  • Free - no credits, ever
  • No signup needed
  • One run at a time

What happens to your data

Your file is processed to produce this result and then deleted - within 24 hours if you are not signed in, within 30 days if you are. Every result here is computed deterministically in our own code, never by an AI model, so the same file always produces the same report.

Full detail in our privacy policy and AI policy.

How this works

About JD Keyword Extractor

What it checks, what it deliberately does not, and how to read the output.

Not every requirement is a requirement

A job posting is a wish list with a few hard filters buried in it. "Strong experience with Java" and "exposure to Kubernetes is a plus" are not the same requirement, and treating them as equivalent is why people either over-prepare for a nice-to-have or fail to notice the one thing they genuinely need.

So this tool sorts what it finds by how hard the posting asks. Must-have covers what was stated as a requirement. Preferred covers what was named as a plus, a bonus or a nice-to-have. Mentioned covers everything present without a stated level of importance - worth knowing, not worth reorganising your preparation around.

It matches meaning, and it says when it could not

The terms found in the posting are matched against our own curated skill taxonomy rather than compared as strings, so a posting asking for "Spring" and a posting asking for "Spring Boot" land in the same place. When that matching service is unavailable, the tool falls back to exact wording and labels the result as such - a thinner answer, clearly marked, rather than a silent downgrade.

There is also an unmapped list, and it is the part worth reading. Terms that stood out in the posting but do not match anything in our taxonomy are shown rather than dropped: usually a company-specific tool, an internal system, or a phrase that is not really a skill. A list that quietly discarded what it did not understand would look complete and be wrong in the flattering direction.

Free forever, and there is no AI in it

This tool costs nothing and will continue to cost nothing. It also never calls a language model - the parsing and the taxonomy matching are our own code, which is why it is fast, why the same posting always produces the same list, and why there is no consent checkbox on the page.

The recruiter's contact details in the posting are removed before anything is stored. We do not keep or surface third-party contact information, which is the one piece of a job description that is somebody else's personal data rather than yours.

What this tool cannot do

It cannot tell you whether you are a fit. It never sees your resume, so it has nothing to compare the posting against. That is the JD ↔ Resume Match tool, which takes both and tells you which requirements you evidence and which you do not.

It cannot tell you how a company's screening filters are configured. Nobody outside that company can. This is what the posting asks for, in the posting's own order of priority - which is a different and more reliable thing than a guess about an applicant tracking system.

It will not help you stuff keywords. Cramming a posting's phrases into a resume produces a document that reads as spam to the human who opens it next, and that human decides.

FAQ

Questions people actually ask

The ones that come up before somebody uploads anything.

Is this really free, with no account?

Yes. No sign-in, no credits, and no plan to change that - the tool never calls a language model, so it costs us almost nothing to run. There is a daily cap on anonymous runs to keep automated abuse from making it expensive, but it is counted per tool: a run here does not touch the allowance for the free ATS check or anything else. Signing in raises it from one run a day to four.

Does it use AI?

No. The parsing and the skill matching are our own code, which is why the same posting always produces the same list and why there is no AI-consent checkbox on this page. That is also the reason we can promise it stays free: there is no per-run cost to recover.

What does the unmapped list mean?

Those are terms the posting emphasised that do not match anything in our skill taxonomy - most often a company-specific tool, an internal system name, or a phrase that is not really a skill. We show them rather than dropping them, because a list that silently discarded what it did not understand would look complete and be wrong in exactly the direction that flatters us. If something important to you is in that list, it is worth addressing in your application in your own words.

How does it decide what is a must-have?

By how the posting phrases it. Wording that states a requirement puts a skill in must-have; wording that names it as a plus, a bonus or a nice-to-have puts it in preferred; anything present without a stated level of importance goes in mentioned. The tool also handles disclaimed requirements - a line saying something is a plus but not essential is read as preferred, not as a hard requirement, even though the skill and the word "essential" appear in the same sentence.

Will it tell me whether my resume matches?

No, because it never sees your resume. This tool only reads the posting. The JD ↔ Resume Match tool takes both documents and tells you which requirements you actually evidence, which are gaps in wording rather than in skills, and which are real gaps - and there is a link to it on your results.

Do you store the job descriptions I paste?

The redacted text is stored inside the saved report so the result can be re-served, and reports are retained for twelve months. Redaction runs before anything is written, and it removes the recruiter's contact details from the posting - that is the one part of a job description that is somebody else's personal data rather than yours.

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