Secure, zero-server metadata cleaner. Select a client-side tool below to strip hidden metadata, location trails, and tracking signatures inside your browser memory.
Now also see what they see. Inspect hidden location coordinates, serial numbers, and device footprints hidden in your media before you share it.
Strip EXIF headers, GPS coordinates, camera hardware profiles, and telemetry tags from JPG, PNG, and WEBP images in bulk.
Scrub author names, software creation logs, edit history, and embedded metadata properties from PDF documents.
Clean ID3v1, ID3v2, album cover art, and encoder signatures from MP3 and WAV audio files prior to sharing.
Interactively patch out Midjourney logos, AI signature grids, and visible watermarks using browser-based canvas tools.
Eliminate text watermarks with Zero-Width Space Fingerprinting, Homoglyph Visual Spoofing, and all absolutely through client-side execution
Every photograph taken with modern smartphones or digital cameras embeds a hidden matrix of technical records directly into the exchangeable image file format (EXIF) wrapper. While invisible to the naked eye when reviewing image assets on a screen, these data objects act as a persistent telemetry trail tracking your daily operations.
Unscrubbed pictures broadcast absolute GPS global positioning latitude and longitude tags down to exact physical street numbers, alongside detailed equipment identifiers, operating system software configurations, serial signatures, and precise chronological timestamps. Scraping bots and automated identity profiling databases continuously aggregate these parameters to map user behavior patterns.
Traditional conversion platforms force users to transmit private media to an external host or server to handle modification requirements. That architectural framework creates secondary privacy liabilities, as your files end up stored in unmonitored databases or logged inside administrative server records.
EXIF B Gone establishes a completely zero-trust model by using local browser isolation layers via the HTML5 canvas pipeline. Files drop straight into memory and clear themselves automatically upon asset save actions, ensuring data compliance without ever communicating with third-party web backends.
We make privacy tangible. Rather than stripping files invisibly, we show users exactly what they are protecting themselves from before the strip takes place.
Explore our engineering analyses and educational deep dives tracking metadata storage layers and security mitigation protocols:
Discover how hidden author dictionary tags, revision trails, and local path history leak inside exported PDF files.
Learn how local time offsets and hardware synchronization loops build geographic footprints inside visual files.
Discover how metadata extraction feeds scrapers and how pixel-level changes stop automated style model copying.
Explore hidden track layers inside audio assets that record workstation footprints and creation software signatures.
Understand the technical risks of multi-track video formats and how to parse out tracking telemetry paths.
A step-by-step technical guide to checking core camera tracking features and securing historical phone camera reels.