Clarity before complexity
Metadata families, actions and warnings should be understandable without specialist terminology.
About Us
Making invisible image metadata easier to understand
AI Metadata Remover helps people inspect and clean embedded image information locally, with clear explanations of what changes and what stays intact.
Why image metadata deserves a closer look
An image can reveal more than its visible pixels. Device details, dates, locations, author fields, editing history and AI-generation records may remain embedded when a file is shared.
AI Metadata Remover gives those details a clear inspection surface before you decide what to remove. The current tool supports JPG, PNG, and WebP images and works locally in your browser.
Our goal is straightforward: make informed image sharing possible without requiring specialist metadata knowledge or sending selected files to a project server.
The information hidden inside an image
C2PA Content Credentials, EXIF camera data, XMP editing records, IPTC fields and PNG text can describe where an image came from, how it was edited or which tool created it.
Some fields are useful, while others can expose a private location, device, author name, prompt or production workflow. Seeing the difference is the first step toward a safer decision.
- • Recognized fields are grouped by metadata family and purpose.
- • Potentially private and AI-generation details are explained in plain language.
- • Uncertain structures are preserved or reported instead of being removed blindly.
Privacy begins with local processing
Inspection, cleanup and verification run locally in your browser. The selected image contents do not need to travel to our project servers for the current workflow.
The tool rewrites supported metadata structures around the existing image payload rather than drawing the picture onto a canvas or deliberately re-encoding it.
- • Process up to 10 supported images in one batch.
- • Keep original compressed image payloads and display-critical information when safe.
- • Download only results that complete the required verification checks.
Clear results matter as much as removal
A metadata tool should not promise that every unknown structure can be removed safely. AI Metadata Remover separates removed, preserved and warning items so the result remains understandable.
After cleanup, the output is parsed again, its image payload is compared and its decoded dimensions are checked. A failed verification does not become an unverified download.
- • Removed fields remain visible in the cleanup report.
- • Preserved orientation, color, transparency and animation data are explained.
- • Warnings and failed verification states are shown before download.
Principles behind the tool
These principles keep the product focused on transparent, verifiable metadata cleanup.
Local by default
Selected image contents stay in the browser throughout the current inspection and cleanup workflow.
Preserve what the image needs
Cleanup should protect image payloads and display-critical information instead of deleting every unfamiliar structure.
Claims grounded in verification
Published product language should match behavior that can be tested in the browser and checked again after cleanup.
Inspect an image or get in touch
Open the local metadata workspace to inspect supported images, or email us with a question about AI Metadata Remover.
Support email: support@ai-metadata-remover.org