
Use Blind CV Redactor to remove names, contact details, and similar identity cues from resume text for unbiased screening.
Rina Patel runs a first-pass screen for a Boulder hiring panel and wants skills judged before names. Blind CV Redactor removes name, contact details, address, birth date, gender words, and similar details from resume text for an unbiased first review—processing stays in the browser.
This guide covers one job only: produce a readable anonymized text version for screening, then human-check it.
It works on text (paste or PDF/text with real text—not a scan). Photos, logos, and layout are not carried over as a designed PDF. For black-box redaction on PDFs in other workflows, see Redact PDF. Build clean source resumes with Resume Builder. Category: business tools.
[EMAIL] for what was removed.Common formats are found; edge nicknames and rare clubs need extra terms. Always read once. It does not check legal compliance and does not decide who to hire.
Tell reviewers: score only skills and scope; do not try to re-identify candidates; report if identity leaks through. That instruction is as important as the tool.
Define the stage: after skills score ≥ X, coordinator unblinds. Do not unblind in the same email thread as the redacted pack. Separate channels reduce accidental leaks.
Name patterns differ by culture. Extra terms lists should include transliterations. When unsure, have a second reviewer try to identify the candidate from the redacted text.
Delete redacted and original copies from shared drives per your retention policy after the role closes. Browser-side processing does not remove the files you downloaded.
URLs often contain names (jane-doe-portfolio.com). Extra-term the domain or replace with [PORTFOLIO] before sharing. Same for LinkedIn URLs.
If an agency already knows identity, still redact for the client panel. Document who holds the key file. Dual copies without a keyholder create chaos.
Some teams paste only the skills and experience sections into the redactor and drop the header entirely. That can be cleaner than fighting every header field—as long as you still catch identity in bullets (e.g., “Founder of Doe LLC”).
Ten minutes of training on the scorecard beats sophisticated redaction alone. Blind text plus biased scoring questions still fails the goal.
Save redacted files as Role_CandidateA_redacted.txt without the person’s name in the filename. Filenames leak identity as often as headers do.
If the candidate sends a revised resume mid-process, re-redact from scratch. Partial hand-edits leave old phone numbers in forgotten footers.
Spot-check two random redacted files every hiring round. If a reviewer can name the candidate, improve the extra-terms list before the full panel receives the pack.
Catch everything? No—add extra terms and re-read.
Uploaded? No—browser-only.
Scanned PDF? Needs real text first.
Skills first, identity later. Open Blind CV Redactor, add extra terms, cold-read the result, then share with the panel.
Take a header line such as Priya Raman, priya.r@mail.com, +1 303 555 0142, 41 Pearl Street, Boulder CO 80302. With Priya Raman entered as the name, the output shows [NAME], [EMAIL], [PHONE] and [ADDRESS] markers, and the state and ZIP are caught as part of the address. A line reading Nationality: Indian disappears whole under the photo, marital status and nationality option, while "she led" becomes a marker under the gender option.
Redaction shortens a resume by a few dozen words, which can shift how one candidate's pack looks against another's. Paste each redacted version into Word Counter to confirm that every candidate's skills section is a comparable length before the scorecards go out. Rina aims for packs that reviewers can read in a single sitting, and a quick count flags the one outlier at three times the length of its peers.
Need a scorecard template to pair with blind text? https://www.freedailypro.com/contact.