Remove patient names, phones & IDs from medical reports before sharing — you review every mask.
On-device only — your report never leaves your browser. Nothing to delete, because nothing was uploaded.Select PDF
or drop it here · .pdf only · scanned on your device, never uploaded
Scanning…
Scanning happens on your device — just do not close this tab.
Red boxes show what will be blacked out. Uncheck anything that should stay visible. Add names or words the scan may have missed as custom terms (comma-separated), then scan again.
Everything happened inside your browser — your report was never uploaded anywhere, so there is nothing to delete.
You need a second opinion, you're filing an insurance claim, you're posting a fundraiser — and the lab report in your hands has your full name, age, phone number, address and a patient ID printed right at the top. Sharing the medical part is the point; sharing the identity part is the risk. To anonymize a medical report is to keep the findings and black out the person — and doing it right matters more here than anywhere, because a "redacted" PDF with live text under the black boxes isn't redacted at all.
This tool does it properly and privately. It scans your report on your device — nothing uploads, ever — finds likely personal details (patient name, age, sex, date of birth, address, phone, email, Aadhaar-format numbers, UHID/MR numbers, doctor names), and shows you every proposed mask on a page preview. Then you review each one — because no automatic detection is perfect — and only after you confirm does it build the anonymized PDF: pages rasterized, masks burned in as solid black, no text layer left to extract, no metadata carried over. What you download cannot be un-redacted.
Detection is pattern-based, not AI, and honest about it. It reliably catches labeled fields — "Patient Name:", "Age:", "DOB:", "Address:" — and format-shaped data: 10-digit phone numbers, email addresses, Aadhaar-format 4-4-4 numbers, UHID/MR/registration numbers, and "Dr. Name" patterns. What it can miss: names with no label nearby ("Arjun Mehta" floating in a header with no "Name:" in front), unusual ID formats, and anything in a scanned image (no text layer, nothing to scan). The custom-terms box exists precisely for these gaps — and the mandatory review exists because gaps are guaranteed, not hypothetical.
Second opinions online. Post the report in a patient community or send it to another doctor with your identity removed — the findings stay, the person goes.
Insurance and claims. Share reports with agents and TPAs (third-party administrators) carrying only the medical facts, not your phone number and address.
Crowdfunding. Fundraiser posts need proof, not your Aadhaar number. Anonymize first, then post.
Caregiver coordination. Family WhatsApp groups coordinating care don't need everyone's full identity details attached to every report.
Teaching and case discussions. Students and clinicians sharing interesting cases keep the medicine and drop the identifiers.
Here's the trap most people fall into: drawing black rectangles over text in a PDF editor. The text is still there — select-all, copy, paste, and every "hidden" name reappears. Some tools even leave it in the file's text layer while showing you black boxes. This tool avoids that entirely: each page is converted to an image with the black boxes burned into the pixels, and the PDF is rebuilt from those images with a fresh document (no metadata carried over). There is no text layer to mine. That is what makes it safe to post publicly — and it's worth understanding the difference before you trust any redaction.
No web tool can declare your document compliant with anything. Privacy rules like HIPAA's de-identification standard list eighteen identifier categories to remove; this tool targets the common ones but is not certified and does not guarantee completeness. For personal sharing — second opinions, fundraisers, family coordination — with careful review, it does the job. For formal, legal, or institutional de-identification, have your compliance or privacy officer verify the output. The mandatory review step isn't bureaucracy; it's the recognition that the last mile of privacy is human judgment.
Share the medicine, not the identity. Scan on-device, review every mask yourself, download a truly redacted PDF — and never trust a black rectangle drawn over live text.
Drop the PDF in. It is read locally on your device — never uploaded.
Pattern detection proposes masks; you review every one, toggle mistakes, add custom terms.
Confirm your review to unlock the download: a truly redacted PDF with masks burned in.
Yes. EzySize’s Medical Report Anonymizer tool is free to use without creating an account. Advertising may appear on this page; the tool remains free to use. Use the controls above and check the result against your requirements.
Upload the report PDF here. The tool scans it on your device for personal details — patient name, age, date of birth, address, phone, email, ID numbers, doctor names — shows you every mask it proposes, and only builds the anonymized PDF after you review and confirm each one.
No. Everything — scanning, preview, and building the anonymized PDF — happens inside your browser. Your report never leaves your device, which is exactly what you want for medical documents.
No. The output is built by rasterizing each page and burning the masks in as black boxes — there is no text layer left to extract and no metadata carried over. It is true redaction, not a black rectangle drawn over live text.
Labeled fields like Patient Name, Age, Sex, Date of Birth and Address, plus phone numbers, email addresses, Aadhaar-format numbers, UHID/MR/registration numbers, and doctor names. Detection is pattern-based, not AI — you can also add your own custom terms to mask.
That is why the review step is mandatory: every proposed mask is shown on a page preview and in a list, and you confirm each one before download. Unlabeled names are the main thing pattern detection can miss — add them as custom terms. For formal compliance use, have your compliance officer verify the result.
No tool can make that promise for you. This page helps you remove the standard identifier categories (names, dates, contacts, ID numbers) on your own device, but it is not certified and detection is not guaranteed complete. Treat the mandatory review as essential, not optional.
Never. It only masks identity details — test names, values, and findings are left exactly as they are. Nothing here diagnoses, interprets, or alters medical content in any way.
Because no automatic detection is perfect — a missed phone number in a shared report is a privacy failure. The download stays locked until you tick that you have reviewed every mask. It takes a minute and it is the whole point.
Detection needs a text layer, so pure image scans can't be auto-scanned. You can still add custom terms, but for scanned reports the reliable path is re-exporting a text PDF from the source, or masking manually with our Redact PDF tool.
Redact PDF is manual — you draw every box yourself, good for contracts and letters. This tool auto-detects medical identity details, shows them for review, and burns them in with true redaction. For non-medical documents, use Redact PDF.
Yes — every mask has a checkbox. Uncheck anything that isn't personal (for example, a phone-like number that is actually a reference code) and it stays visible in the output.
Yes — free, no sign-up, no watermark. Anonymize as many reports as you like.