DICOM anonymizer online — free, private, no upload

Drop a .dcm file or a whole study folder and strip the identifying tags: patient name, ID, birth date, institution, physician names, private vendor tags. Patient data never leaves your device — parsing, scrubbing and re-writing all run locally in your browser. Free, no account, no limit.

Drag & drop a DICOM folder here

a whole study at once — loose files, extensionless files and DICOMDIR work too

Your files never leave your device — everything is parsed locally in your browser.

How it works

1

Drop a study folder

A whole CT/MR study at once — files are parsed on the spot by JavaScript in this tab and grouped into series, in the scanner's own slice order. Nothing is uploaded, ever.

2

Check the metadata

Open a series and look at the metadata panel: the patient name, ID, birth date and institution shown there are exactly what the scrub removes. The image itself is untouched.

3

Download the cleaned study

Click "Anonymize .dcm" — free, no license. A single file downloads as .anonymized.dcm; a whole series comes back as one ZIP of cleaned files that still open in any viewer or PACS.

Simple pricing

The viewer is free and unlimited — and so is the anonymizer on this page. A one-time $9.99 unlocks every export — PNG, JPG and PDF.

Free

$0

  • Open whole study folders, unlimited files
  • Scroll slices, window/level, zoom, full metadata
  • Anonymizer included — strip identifying tags free
  • No account, no upload, no watermark

Frequently asked questions

What does the DICOM anonymizer remove?

A basic tag scrub: the patient name is replaced with "Anonymous", the patient ID is blanked, and direct identifiers are removed — birth date, sex, age, institution and department names, referring and performing physicians, accession number, study IDs, plus all private (vendor) tags, overlays and curve data. Study/series UIDs and the imaging parameters are kept so the study stays intact and consistent. The file is stamped with the standard DICOM de-identification markers (0012,0062 / 0012,0063).

Do my files get uploaded anywhere?

No — that is the whole point. The files are parsed, scrubbed and re-written entirely by JavaScript running in your browser tab; no file bytes are ever transmitted. You can verify this yourself: open your browser's developer tools (Network tab), anonymize a file, and watch — nothing is sent anywhere. Details in the privacy policy.

Is the anonymizer really free?

Yes — completely. No license, no account, no file-count limit, no watermark. Anonymizing is the free part of this site; the one-time $9.99 license only covers image/PDF exports (PNG, JPG, PDF slice, PDF report). Viewing and anonymizing cost nothing.

What does it NOT remove?

Two things, and both are called out honestly: burned-in pixel text — words the scanner drew into the image pixels themselves cannot be removed by a tag scrub — and the study/series UIDs, which are kept on purpose so all files of a study still belong together. This is a basic tag scrub, not a certified HIPAA/GDPR de-identification pipeline: review the result before sharing files externally.

Is the result still a valid DICOM file?

Yes. The cleaned file is re-written as a proper DICOM Part 10 file with the same transfer syntax, the same pixel data and the same UIDs — it re-opens in any DICOM viewer or PACS exactly like the original, minus the identifying tags.

Can I anonymize a whole study at once?

Yes — drop the whole study folder onto the page. Files are grouped into series; open a series and click "Anonymize .dcm". A single-file series downloads as one cleaned .dcm file; a multi-file series downloads as a ZIP of cleaned .dcm files. Everything still happens locally in your browser.

Can I use anonymized files for diagnosis?

Anonymizing changes only metadata tags, never the pixels — but DCMView is a file-format utility, not a medical device, and is not intended for diagnostic use, measurement, or treatment decisions. Always review clinical images on a regulated diagnostic workstation.