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Scans the job posting on the current tab and scores your resume fit using AgentTina's semantic ATS engine. Stop guessing whether your resume actually matches a job. Find out in one click. AgentTina JD Scanner reads the job posting on any page you're browsing and instantly scores how well your resume matches it — using real semantic AI analysis, not simple keyword counting.How it works Upload your resume once (PDF, DOC, or DOCX) Open any job posting — LinkedIn, Greenhouse, Indeed, ZipRecruiter, or almost any company careers page Click "Analyze this JD" Get an instant fit score, a breakdown of what matches, what's missing, and specific advice on how to improve your odds Why semantic matching mattersMost resume tools just count overlapping words. AgentTina understands meaning — so "built CI/CD pipelines" correctly counts as DevOps experience even if the job posting never uses those exact words. You'll see exactly which requirements are hard requirements versus nice-to-haves, so you know where to actually focus.What you get with every scan An overall ATS fit score (0–100) A clear list of what in your background matches the role A clear list of what's missing — tagged as required or preferred, so you know what actually matters Specific, actionable advice for that exact posting Instant results on repeat visits to a job you've already checked — no waiting, no extra cost Built for real job seekersWhether you're applying broadly or targeting a specific role, AgentTina helps you spend your time on the applications actually worth the effort — instead of guessing.Privacy, straight upYour resume and the job posting text are sent securely to our servers only to generate your score — never sold, never shared with advertisers. Full details in our Privacy Policy: https://tina.nikarva.com/termsAgentTina JD Scanner is built and maintained by Nikarva Technologies. Questions or feedback? Reach us anytime at support@nikarva.com.
Jul 15, 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.