Inspect provenance signals carefully

Remove AI Metadata

Find visible metadata containers linked to AI tools and create a locally cleaned copy where safe.

Files never leave your device — processed 100% in your browser. Free, no sign-up.

Drop files here

They stay on this device. Nothing is uploaded.

1–20 files50 MB max eachUnlimited use

0 bytes uploadedNo file API or server storage exists.
Lossless where supportedMetadata containers change; image pixels do not.
Works after loadingDisconnect and keep processing locally.

What does it mean to remove AI metadata?

To remove AI metadata usually means deleting descriptive fields that name a generator, model, editing application, prompt workflow, or content provenance system. These clues may appear in EXIF software tags, XMP packets, PNG text chunks, JPEG comments, or C2PA manifests. They are different from signals encoded directly into pixels or generated content that can be recognized by visual analysis.

This page can remove AI metadata stored in ordinary file containers that the browser can rewrite safely. It also scans for common provenance labels and explains what was detected. It cannot promise to erase invisible pixel-level watermarks such as SynthID, defeat platform classifiers, or change the origin of an image. A cleaned file may still be identifiable as generated content. Use the tool to control removable metadata, not to misrepresent authorship or bypass disclosure rules.

What metadata is removed?

The tool removes container-level records while being explicit about provenance systems and pixel-level signals it cannot reliably change.

Why remove metadata?

Review what a generator stored

Software, model, prompt, and workflow labels may be visible to anyone who downloads the original.

Prepare a neutral asset copy

A client delivery may not need tool-specific XMP history or embedded editing comments.

Understand provenance limits

Removing a container field is not the same as removing a signed manifest or pixel-level watermark.

Follow disclosure requirements

Cleaning metadata does not remove legal, contractual, or platform obligations to disclose AI use.

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How to remove metadata — 3 steps

Choose an image

Open JPEG, PNG, or WebP files locally; originals never leave the device.

Review AI-related signals

Look for C2PA labels, XMP packets, software names, PNG text, and other provenance fields.

Remove supported containers

Download a cleaned copy and read the result notice about any signals that may remain.

Frequently asked questions

Is the AI metadata remover free?

Yes. Container inspection and cleanup are free for up to 20 images per batch. There is no account or paid download. The page is designed as a privacy and file-hygiene utility, not a provenance-evasion service.

Are AI images uploaded for analysis?

No. Detection is limited to metadata and byte patterns that can be inspected in your browser. The image is not sent to an AI model, moderation API, storage bucket, or remote server.

Which image formats are supported?

JPEG, PNG, and WebP support local removal of common metadata containers. TIFF and HEIC inspection is best-effort. C2PA manifests may use format-specific structures, so detection and removal are reported separately rather than treated as guaranteed.

Does this work on AI images saved on an iPhone?

Yes when the saved image is JPEG, PNG, or a supported WebP. An iPhone may also add its own photos-library metadata. HEIC files can be inspected when supported, but exporting a JPEG copy usually provides the most predictable cleanup path.

Can this remove SynthID or every AI watermark?

No. SynthID and similar systems may encode signals into image pixels rather than ordinary metadata fields. Removing EXIF, XMP, PNG text, or C2PA containers does not guarantee removal of pixel-level signals or classifier evidence.

Can I clean multiple generated images at once?

Yes, up to 20 files. The tool scans each image independently, identifies removable metadata, and bundles successful cleaned copies into a ZIP. You remain responsible for preserving required attribution and following applicable platform policies.