October 21, 2026
Switching to a new resume builder usually means a choice between two bad options: retype your whole work history by hand, or keep limping along with the old PDF because starting over feels like too much work. This AI resume builder skips that trade-off — you can hand it an existing resume or a LinkedIn export and it sorts the content into sections for you, so the blank page you're starting from isn't actually blank.
From the resume switcher in the dashboard, "Import" accepts a text-based PDF resume directly — the kind you'd export from Word or Google Docs, not a scanned photo of a printed page. The second option is LinkedIn's own data export: from LinkedIn, go to Settings & Privacy → Data privacy → "Get a copy of your data," request the archive, and upload the ZIP it emails you. Either path creates a brand-new resume prefilled with your experience, education, and skills — your original file isn't touched.
The upload is read entirely in your browser before anything is sent anywhere: a PDF is parsed into plain text locally, and a LinkedIn ZIP is unpacked locally to pull out the Profile, Positions, Education, and Skills files. Only that extracted text — not the PDF or the ZIP itself — gets sent to the AI step that sorts it into resume sections. If a PDF is a scanned image with no selectable text, there's nothing for that step to read, and the import will say so rather than guess.
An import is a draft, not a finished resume — it's explicitly prefilled for you to review and edit before it's saved anywhere, and it stays that way until you touch publish. AI structuring is good at sorting a block of text into the right sections but not infallible: check that dates lined up correctly across jobs, that a bullet point didn't get merged with the one before it, and that nothing from an old, outdated version of your LinkedIn profile slipped in. Once it reads clean, the same editor and AI writing assistant you'd use on a resume typed from scratch work exactly the same way here.