Privacy First
The anonymizer runs entirely in your browser. Files are processed in memory and never uploaded to any server, ensuring maximum privacy and alignment with HIPAA and GDPR standards.
DICOM Anonymizer
Online DICOM Anonymizer
A professional, 100% browser-based tool for de-identifying medical images. Process your files entirely on your device using DCMTK and WebAssembly, ensuring sensitive patient data never leaves your computer.
PS3.15 Alignment
Follows industry standards for medical image de-identification, supporting the Basic Application Level Confidentiality Profile and various options.
Near-Native Performance
Built on the robust DCMTK toolkit compiled to WebAssembly, bringing the power of C++ DICOM processing to the web.
Study Batch Processing
Process entire folders in parallel using Web Workers. The app maintains cross-file consistency for generated UIDs and builds a standard DICOMDIR index.
Custom Tag Replacements
Pin specific tags to custom values or use deterministic placeholders for reproducible de-identification workflows.
Zero Install
Works on any modern web browser across Windows, macOS, Linux, and mobile devices without requiring software installation.
Advanced Features
The Online DICOM Anonymizer provides a comprehensive suite of de-identification tools for research, education, and clinical trials.
- Delete private and unknown vendor-specific tags.
- Deterministic UID generation using SHA-256 hashing for study consistency.
- Support for large studies with streaming ZIP generation directly to your hard drive.
- Metadata review modal for preserving meaningful study and series descriptions.
- Native CLI available for high-performance offline batch processing.