What this tool actually does
It counts how often each meaningful word appears in the job description, takes the 30 most frequent ones (filtering out common connector words like "the" or "and"), and checks whether each also appears somewhere in your resume text. That's the entire method — plain word-frequency counting, not natural-language understanding. It doesn't know that "managed a team" and "led a team" mean roughly the same thing, so a missing term isn't automatically a real gap.
How to use the results
Treat the "missing terms" list as a set of questions, not a checklist to mechanically insert. For each one, ask: does my resume already say this a different way, and if so, is it worth using the posting's exact wording instead, since some applicant tracking systems match on literal keywords? Or is this term genuinely not reflected in my experience at all — in which case, adding it just because it's in the posting would be misleading, not helpful. See our guide on how applicant tracking systems actually work for more on why exact wording sometimes matters more than it should.
Why local, word-based matching has real limits
This tool can't assess whether your resume is well written, whether your bullet points show real impact, or whether you're a good fit for the role — only whether specific words show up in both texts. A resume that mechanically repeats every term from a job posting without genuine, specific detail behind it usually reads worse to a human reviewer, even if it would score well here. Use it as one input among several, not a pass/fail test.
Privacy
The text you paste into either box stays in your browser's memory for this session only. It is not transmitted to a server, logged, or stored — closing or refreshing the tab clears it completely.
Related guides
See writing resume bullet points that show impact and choosing a resume format.