Anonymize DICOM files without uploading them anywhere.
DicomScrub de-identifies CT, MRI, X-ray and other DICOM studies to the DICOM PS3.15 Basic Profile, entirely inside your browser. No server, no account, no upload. Unplug the network and it still works.
1. Add files
| # | File | Modality | Patient (original) | Study date | Size | Status |
|---|
2. De-identification options PS3.15 Annex E
Preview & burned-in text Pro
3. Anonymize
Change log for selected file
How it works
Runs in a Web Worker
Your files are read by JavaScript in your own browser tab. The page's Content-Security-Policy forbids every outgoing connection, so even a bug could not upload anything.
Standard-based rules
Every attribute in DICOM PS3.15 Table E.1-1 is removed, emptied, replaced or re-mapped exactly as the Basic Profile requires. Options map to the standard's named options.
Consistent identifiers
Study, series and instance UIDs are replaced with fresh 2.25 UIDs, consistently across the batch, so viewers still group your studies correctly.
Proof, not promises
Open DevTools → Network. After the page loads you will see zero requests while processing. Or just turn off Wi-Fi. Read the full trust page.
FAQ
Is this HIPAA / GDPR compliant?
DicomScrub implements the de-identification profile defined by the DICOM standard (PS3.15 Annex E), which is the accepted technical basis for both HIPAA Safe Harbor de-identification and GDPR anonymisation of imaging data. Because no data leaves your computer, no Business Associate Agreement or data processing agreement is needed with us. Compliance of your overall workflow remains your responsibility.
What about text burned into the image pixels?
Header anonymization cannot remove text rendered into pixels (common on ultrasound, secondary captures and some CR). Select a file, draw boxes over the text, and DicomScrub blacks them out on every frame. Compressed images must be decompressed first (e.g. dcmtk dcmdjpeg).
Does it work with multi-frame, RT, SR, or enhanced objects?
Yes. The engine walks every sequence recursively. Structured Reports have their Content Sequence removed as the standard requires; RT Structure Sets keep referenced-frame-of-reference linkage through consistent UID remapping.
How large a batch can I run?
The free tier processes 20 files per batch; Pro removes the limit. Practical limits are your machine's memory: a 2 GB CT study works fine on a laptop with 8 GB RAM.
Can I verify what changed?
Every run produces an audit CSV listing each tag, its action and its before/after value, plus a methods statement you can paste into an IRB application or a paper.