Analysis only — we don't edit your resume. Paste the job description and your resume text, see keyword coverage in seconds.
Tailored forMid-levelinUS / Canada
Four steps, about two minutes. The third one is where most people go wrong.
Copy the full posting, requirements section included. Partial JDs produce partial keyword lists — the requirements block is where the hard terms live.
Plain text, not a PDF. What matters is the words a parser can extract, which is exactly what you get by selecting all and copying out of your resume file.
The list of required keywords you don't have is the actionable part. The percentage is a summary of that list, not a separate piece of information.
Each missing keyword you genuinely have experience with should appear in a bullet that shows the work. Keywords you can't back up will fail the interview instead of the filter — a worse place to fail.
It measures overlap between two pieces of text. That's the whole mechanism. A job description names the tools, methods and domains it expects to see; the checker looks for those words in your resume and tells you which ones aren't there.
That makes it useful for one specific failure: you have the experience, but you described it in different words than the posting uses. “Built data pipelines” against a JD asking for “ETL” is a real miss, and a cheap one to fix.
It cannot tell you whether your experience is strong enough, whether the hiring manager will like your background, or whether the role is worth applying to. Those are the questions that decide the outcome, and no text comparison answers them.
A posting mixes two kinds of terms, and the checker can't reliably tell them apart — you can. Hard requirements are the ones a recruiter filters on: a language, a framework, a certification, a number of years. Miss one of those and you may never be read.
Everything else is atmosphere. “Fast-paced environment,” “cross-functional collaboration,” “strong communication skills” — stuffing these into your resume costs you space and makes it read like the posting rather than like a person.
A practical rule: if you can't follow the keyword with something you actually did, leave it out.
They answer different questions, and people often run the wrong one first.
Run the ATS check first. Perfect keyword coverage in a file the parser can't read is a score you never collect. Run the ATS check →
A resume matcher compares the text of your resume with the text of one job description and reports which terms the posting requires that your resume never says. It is a text comparison, not a judgement about whether you're qualified.
Three checks a day are free with no account. Membership removes the daily cap.
No. Nothing you paste into this tool is stored.
It means fewer required keywords are missing, which is a screening threshold rather than a ranking. Once the required terms are present, adding more keywords stops helping and starts reading as stuffing.
Yes, if the postings differ. A match score belongs to one resume and one posting; two openings with the same job title routinely require different tools and different words.
No — this tool only analyses. Rewriting happens in the editor, and only when you ask for it.