2 items
Analyze your resume against job descriptions and securely save jobs. TurboApply AI is your ultimate job search companion for ATS keyword optimisation right inside your browser. Whether you're browsing LinkedIn, Indeed, Glassdoor, or a company's own career page, TurboApply AI instantly scans the job description and cross-references it against your uploaded resume to provide a detailed match score. It acts as your personal ATS (Applicant Tracking System) checker, highlighting exactly what skills and keywords you're missing so you can tailor your resume and beat the bots. Key Features: - Instant Job Matching: Instantly compare your resume against the current page's job description. - ATS Keyword Optimization: Discover the exact hard skills and missing keywords you need to add to your resume. - Save Jobs Locally: Bookmark job URLs to a clean, organized dashboard so you never lose track of roles you want to apply to. - 100% Private & Secure: All analysis and data storage happens locally on your device. Your resume is never sent to any external servers or third parties. How to use it: 1. Open the extension and upload your resume (PDF) in the "My Resume" tab. 2. Navigate to any job posting on the web. 3. Open the extension and click "Start Engine" to analyze the fit, or "Quick Save URL" to bookmark it for later. Privacy Note: We respect your privacy. TurboApply AI operates entirely locally on your device. We do not track you, and your resume and saved jobs never leave your browser.
Sep 3, 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.