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Autofill job applications on Greenhouse, Lever, Ashby & more from your resume. You review, you submit. Data stays local. Autofill job applications in one click. ApplyOnce reads your resume or CV once (PDF, DOCX, or even a scan or photo), then completes forms on Greenhouse, Lever, Ashby, and thousands of company career sites: name, contact details, links, work history, education, authorization status, and your saved answers to repeated questions. Your resume file attaches itself too. You stay in control • It never submits for you. You review every application and press submit yourself; there is no auto-apply mode to get wrong. • It never guesses. An uncertain field is flagged for you instead of answered wrong. Green means verified, amber means check me. When a question is new, an on-device classifier may suggest an answer, always in amber, never filled silently. • One-click undo restores any form to exactly how it was. Your data never leaves your device • No account, no signup, no cloud. Your profile, documents, and history live in your browser's local storage. Resume parsing, text recognition of scans, and the question classifier all run on your device; the classifier's model files are downloaded once from our GitHub release, and that download carries nothing about you. • Anonymous usage statistics only: the extension reports which features run and whether they succeed — never form values, resume content, or page addresses — and you can switch this off in Settings. The source code is public on GitHub. • Optional passphrase encryption (AES-GCM) for your profile and documents. • Sensitive questions (work authorization, sponsorship, EEO, salary) are answered only from responses you explicitly set, never inferred. Every kind of field • Autofill handles text boxes, dropdowns, radio buttons, checkboxes, multi-selects, dates, and searchable comboboxes. • Country, state, and phone-code menus resolved intelligently ("South Africa" matches "South Africa (ZA)" or "+27"). • CV upload handled automatically, using your real file. • Skills checkbox groups matched to your profile; salary ranges from your set bounds. Reuse your best answers Save a response once ("Why do you want to work here?") and it is reused whenever the question appears again, even reworded. Templates support {company} and {role}, personalized from the page you are on. Built-in job application tracker Every posting you scan is remembered: statuses (Saved, Applied, Interviewing, Offer, Rejected), follow-up reminders, a snapshot of the description that survives after the posting closes, search, and CSV export. Your whole job search, organized without a spreadsheet. Getting started takes about three minutes 1. Drop in your resume (PDF, DOCX, or a scan or photo; LinkedIn's "Save to PDF" export works too). It is parsed on your device into a profile you review and correct; anything read with lower confidence is marked "check this". Got a newer version later? Import it from the Profile tab. 2. Set your explicit answers: work authorization, sponsorship, salary, optional EEO responses. 3. Open any job posting. ApplyOnce detects the form and shows a small badge. Click Fill, review, submit. Honest limits Multi-page enterprise portals like Workday are not fully supported yet. Unrecognized questions are flagged for you rather than answered; that is by design. Free, open source, local-first job application autofill. If a form does not fill right, report it on GitHub and it becomes a test case.
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.