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See which job-description keywords are missing from your resume, with a match score. 100% on your device — nothing uploaded. Tailor your resume to every job — privately, on your own device. Recruiters and ATS filters scan for the specific keywords in the job posting. Gapscan shows you exactly which of those keywords your resume is missing, so you can add the ones that are genuinely true for you before you apply. ★ HIGHLIGHT THE GAPS Save your resume once. Paste a job description (or capture it from the posting you're viewing), and Gapscan lists the missing keywords and skills — each with how often it appears in the posting and a one-click snippet showing the context — plus an approximate coverage score. ★ SMART, NOT NAIVE A built-in skills dictionary understands synonyms and acronyms (JS = JavaScript, k8s = Kubernetes, ML = machine learning), recognizes multi-word skills, and flags uncertain matches as "verify" instead of guessing — so it doesn't tell you you're missing something you already have. ★ 100% LOCAL — THIS IS THE POINT Your resume is stored only on your device and is never sent anywhere. The entire comparison runs in your browser. Gapscan requests no host permissions and makes no network calls — unlike cloud résumé tools that upload your CV to a server. No account, no subscription. ★ HONEST ABOUT THE SCORE The match score is an estimate to guide your tailoring, not an official "ATS score." You decide which keywords to add. For active job seekers tailoring each application to beat keyword filters. Tip: keep the keywords truthful — only add skills you actually have.
Jun 26, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.