4 items
Highlight job posting keywords against your CV. Fully offline, nothing leaves your browser. See your CV the way an automated parser sees it, and check it against any job posting. Everything runs locally. Nothing leaves your browser. WHAT IT DOES 1. Shows you the raw text Upload your CV (PDF or DOCX) and see what text a machine extracts. Two-column layouts, icons, text inside images, missing text layers; these silently break resume parsers, and you normally never find out. If the extracted text looks wrong or comes up empty, that is what recruiting systems see too. 2. Highlights keywords on job postings Open a job posting and skills mentioned in it are highlighted directly on the page: > GREEN: in your CV, written the same way > YELLOW: in your CV, written differently (your CV says "K8s", the posting says "Kubernetes") > RED: not in your CV at all Yellow is the one that matters. Recruiters search their candidate database or exact terms. If they search "Kubernetes" and your CV only says "K8s", you do not show up in the results even though you have the skill. KEYWORD DICTIONARY Ships with 320 skills and their synonyms in both English and Italian, focused on tech and IT roles. This is a starting point, not a finished list. You can add your own keywords locally, and the built-in dictionary grows with each update. Found something missing? Every highlighted word has a share button that lets you report it. One click, one word, entirely optional. PRIVACY No account. No server. No analytics. No tracking. Your CV is parsed in your browser and stored on your device. It is never uploaded anywhere. The extension makes no network requests at all, you can verify this yourself in DevTools. WORKS ON LinkedIn, Indeed, Datapizza WHAT THIS IS NOT This does not score your CV, predict whether you will get hired, or promise to beat any system. It shows you what a machine reads and where your wording does not line up. What you do with that is up to you.
Aug 19, 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.