Anonymize a resume in seconds
Drop in a CV and get back a version with the candidate's name, contact details and employer history removed — ready to submit to a client without handing over a direct line to the person you found.
Read in memory and discarded immediately — never written to disk, never used for training.
Why recruiters anonymise submissions
Send a client the raw CV and you've handed them the candidate's email and phone number — nothing stops them reaching out directly and skipping you entirely. Anonymising the document before it leaves your inbox is standard practice for exactly this reason, and it's also become a real bias-reduction step: a hiring manager evaluating "Senior Backend Engineer, 9 years, fintech" reads differently to evaluating a name and a photo.
Doing this by hand — manually redacting a name, an email, a phone number, a LinkedIn URL from a two-page PDF, every time — is the 20 minutes nobody has spare between calls.
A client who has the candidate's name, email and phone can contact them directly — which is exactly the placement fee walking out the door. Recruiters anonymise submissions specifically to prevent that, and increasingly to reduce unconscious bias in early screening too.
Name, email address, phone number, street address, and any LinkedIn or profile URL — stripped by the model and then checked again by a separate deterministic pass over every field, so a missed detail in the AI's output still gets caught.
No. The resume is read in memory to produce the anonymised result and then discarded — it's never written to disk. This is the same guarantee the full MagflowAI product makes on every upload, not a separate, looser policy for the free tool.
Processing your first few resumes is free, no account needed. Seeing and downloading the full anonymised result requires a free account — MagflowAI itself runs on a 7-day free trial after that, no card required to start.