Job Description Keyword Finder
See what a job posting actually emphasizes: meaningful terms counted and grouped, boilerplate filtered, priorities exposed by their own repetition.
- 100% free
- No signup
- Runs in your browser
- Nothing uploaded
A data analyst posting might return: Tools: sql (4), tableau (2), python (2) · Hard skills: data analysis (3), reporting (2) · Soft skills: stakeholder management (2), communication (2). Four mentions of SQL is the posting saying the quiet part out loud.
How it works
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Paste the posting
The full text works best; the finder needs the repetitions.
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Read the groups
Tools, hard skills, soft skills and other repeated terms, ranked by mentions.
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Act on the top terms
Check resume coverage, mirror honest vocabulary, prep stories for what repeats most.
What this tool does and does not do
It does
- Counts and ranks the posting’s meaningful terms deterministically
- Filters stopwords and job-post boilerplate before ranking
- Groups results into tooling, hard skills, soft skills and other
- Runs entirely in your browser; the posting goes nowhere
It does not
- Guess or paraphrase with AI; it counts what is literally there
- Know which terms are true of you; that judgment stays yours
- Guarantee any screening system weighs terms the way the posting repeats them
- Store the pasted text
What is a job description keyword finder?
A frequency lens on a job posting. Postings are written by committees: the must-haves, the wish list and the HR boilerplate all arrive in the same paragraph voice. Counting cuts through the voice. Terms the posting repeats three and four times are its actual priorities; terms mentioned once in the final paragraph are usually the wish list. The finder does the counting and the sorting so you read priorities, not prose.
How do employers' screening systems relate to these keywords?
Honestly: applicant tracking systems mostly search and filter the terms recruiters ask for, which correlate with, but are not identical to, the posting's repetitions. Nobody outside a given company can promise which terms their setup weighs. What is checkable is the posting itself, and aligning your true experience with its actual language is the highest-percentage move available from the outside. Our ATS basics guide separates the documented facts from the folklore at length.
Reading a posting like an analyst
The repetition tiers
Terms mentioned 3+ times are the spine of the role; expect them in screening, interviews and the day job. Two mentions marks the supporting cast. One mention splits into two kinds: known skills (which the finder still surfaces via its lexicons) and decorative wishes. When a posting repeats a soft skill as often as its tools, believe it; that team has a story behind that word.
The vocabulary fingerprint
The "other repeated terms" group often holds the posting's local dialect: product names, methodologies, internal nouns. Mirroring that vocabulary in your materials, where honest, reads as fluency. Writing "client onboarding" to a company that says "customer activation" wastes a matching opportunity that costs nothing to take.
From keywords to preparation
The ranked list is also your interview syllabus. For each top-five term, prepare one specific story: the situation, what you did, the number that resulted. The resume bullet generator helps shape those stories into resume lines, and the interview questions generator rehearses the other side of the table. The pipeline from one pasted posting: keywords, coverage, bullets, stories. Repetition in, preparation out.
Frequently asked questions
How do I find the keywords in a job description?
Paste the posting above. The finder counts how often each meaningful term appears, filters out boilerplate ("experience", "requirements", "team player" scaffolding), and groups the survivors into tools, hard skills and soft skills, ranked by repetition. Repetition is the posting telling you its priorities; the top five terms are rarely accidental.
Is this an AI keyword extractor?
Deliberately not. It is deterministic term-frequency extraction with curated word lists: the same JD produces the same output every time, in your browser, with no text sent anywhere. For this job, counting beats guessing: you want the posting’s actual emphasis, not a model’s paraphrase of it.
What do the groups mean: tooling, hard skills, soft skills?
Tooling is named software and platforms (SQL, Figma, Salesforce). Hard skills are learnable practices (data analysis, copywriting, project management). Soft skills are interpersonal capacities (communication, stakeholder management). Terms outside our curated lists land in "other repeated terms", which often catches company-specific vocabulary worth mirroring.
What do I do with the keywords once I have them?
Three uses, in order of value: check your resume covers the ones that are true of you (the resume keyword match automates exactly this), mirror the posting’s vocabulary in your bullets where honest, and prepare interview stories for the top repeated terms, since they usually become interview questions.
Should I stuff all these keywords into my resume?
No, and this matters: add only terms that are true of you, phrased the way you actually worked with them. Keyword stuffing reads as spam to humans and increasingly to screening software. The finder shows you the posting’s language; honesty decides what you do with it. A missing keyword you genuinely lack is interview preparation, not resume decoration.
Why did the finder skip a word I think matters?
Two likely reasons: it appeared only once (single mentions rank below repeated terms unless they are known multi-word skills), or it sits on our noise lists ("experience", "requirements") that would otherwise bury the signal. The lists are editorial and documented in the code. If a term matters to you, it probably belongs in your materials regardless of any counter.
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