Document Sanitizer

Strip metadata, author info, tracked-change markers, and revision history from your documents - 100% in your browser.

100% Private. All sanitization runs entirely in your browser. No files, no metadata, and no document contents are ever uploaded to any server.

Drop your document here, or browse

PDF, TXT, SVG, or JSON files supported

.pdf.txt.svg.json

Sanitization Coverage

PDF Documents

Author / Creator / Producer fieldsstripped

Title, Subject, Keywords fieldsstripped

Creation & modification datesstripped

XMP metadata stream (copy-to-clean)stripped

Plain Text Files

# Author: / // Author: headersstripped

# Created by: / // Created by: headersstripped

HTML <meta name="author"> tagsstripped

Date, Revision, Version comment linesstripped

SVG Files

sodipodi:*, inkscape:* elements & attrsstripped

dc:creator, dc:contributor, dc:datestripped

<rdf:RDF> and <cc:Work> blocksstripped

<metadata> block + namespace declsstripped

JSON Files

author, creator, created_by keysstripped

_metadata, __meta, metadata keysstripped

created_at, updated_at timestamp keysstripped

generator, generatedBy, revision historystripped

Actions

About Clean Document History & Author Tags

The Clean Document History & Author Tags is a professional, client-side utility built to perform high-fidelity conversions and data manipulations directly on your device. Powered by next-gen browser technologies like pdf-lib XMP segment decoders and comment parsers, the tool achieves lightning-fast processing speeds without needing a remote cloud backend. Remove hidden revision histories, author notes, and tracking tags from documents before sharing.

Our Clean Document History & Author Tags operates by reading your files or text inputs as raw byte buffers inside browser runtime scope. Rather than uploading payloads to a remote host, the application parses the structure in client-side memory. Specifically, it removes XML metadata records, revision history tracks, and creator logs from document files. This setup guarantees instant feedback, high-performance execution, and robust support for large file queues.