JD Keyword Extractor

A job description is only as strong as the search terms it puts in front of candidates and applicant tracking systems. Paste your JD here and this tool splits it into two ranked lists: skills and competencies it recognises from a curated dictionary of 150+ technical, functional and soft-skill terms — things like "react", "stakeholder management" or "financial modeling" — and a second list of other words that repeat at least twice once common stopwords and generic filler like "candidate" or "responsibilities" are stripped out.

Under the hood it runs two passes over your text, entirely in your browser. First it scans for the longest matching dictionary term at every position, so "react native" is caught before "react" can claim it, and counts how many times each one appears. Whatever text those matches sit in is blanked out before the second pass, which counts every remaining word and keeps the ones that show up two or more times, ranked by frequency and capped at the top 15.

This matters for recruiters hiring in India because Naukri and LinkedIn search — and every ATS a candidate's resume later passes through — work on keyword matching, not intuition. A JD written in internal jargon instead of the terms candidates and algorithms actually search on narrows your funnel before the role has even gone live.

Use the output to sanity-check a JD before publishing, feed it straight into the Boolean Search Builder for sourcing, or paste it alongside a resume into the ATS Resume Checker to see exactly which of these terms a candidate is missing.