Free Resume Keyword Extractor

The scanner reads the posting three ways at once. First it matches your text against a dictionary of several hundred hard skills — programming languages, cloud platforms, CRMs, clinical systems, accounting standards, design tools — and counts how many times each appears. Second, it looks for soft-skill and trait language such as "cross-functional" or "detail-oriented". Third, it detects credential patterns: degree requirements, certifications like PMP or CISSP, and experience thresholds such as "5+ years experience".

Anything the dictionaries miss still surfaces. The tool builds one-, two- and three-word phrases from the posting, throws away filler words, and shows any phrase the employer repeats at least twice. That is where company-specific language hides — the internal product name, the methodology they live by, the metric they care about.

Frequency matters because it is the closest visible proxy for weighting. When a posting mentions "stakeholder management" four times, that phrase is doing real work in the screening criteria, and it belongs in your resume in a sentence that proves you have done it.

A keyword list on its own does not get you interviews — the comparison does. Use the match box under the results to paste your current CV, and the tool marks in red every skill keyword the posting wants that your resume never says. That red list is your edit queue for the next ten minutes.

Work through it in this order:

• Add missing tools you genuinely use to your skills section, spelled exactly as the posting spells them.
• Rewrite one bullet per missing high-frequency skill so the term appears in context, with a result attached.
• Mirror the exact job title somewhere near the top if it is close to your real title.
• Leave out anything you cannot defend in an interview — a keyword you cannot back up costs you more than the missing match.

When you have made those edits, scan the updated file with our free ATS checker to confirm the parser can actually read the new content and to catch formatting problems that keyword work cannot fix.

Large employers receive hundreds of applications per opening, and recruiters rarely open every one. They search and filter inside the ATS instead — by tool, by certification, by years of experience. A resume that never contains the search term simply is not in the result set, however strong the underlying experience is.

That is why tailoring beats volume. Ten applications with keywords matched to each posting reliably outperform fifty copies of one generic CV. If your base document is thin to begin with, the fastest route is to rebuild it with a clean, parser-friendly structure in the free resume builder and then tailor the skills section for each role with the list this extractor gives you.