AI Metadata Remover
Scan a photo for the hidden tags platforms use to mark it as AI-generated — C2PA Content Credentials, XMP generator signatures, IPTC digital source types and embedded prompts — then strip them and download a verified clean copy. Everything runs in your browser; the file never leaves your device.
Drop your image here
or click to browse — JPG, PNG or WebP, up to 50 MB
Max file size: 50MB
What this tool can and cannot remove
- Removes: C2PA Content Credentials, XMP/EXIF generator tags (DALL·E, Midjourney, Stable Diffusion, Firefly…), IPTC digital source types and embedded prompt text — plus GPS, camera and timestamp metadata.
- Cannot remove: invisible pixel watermarks such as Google SynthID, or a platform's visual AI classifier. No metadata tool can — anyone claiming otherwise is guessing.
- Your call: platforms may require you to disclose realistic AI content. Clean your files for privacy, but check the rules of the platform you post to.
Remove AI Metadata from Photos Free Online
AI Metadata Remover shows you exactly which hidden tags make a photo look machine-made, then deletes them. It reads the metadata where AI provenance is recorded — C2PA provenance manifests, XMP generator names, IPTC digital source types and PNG prompt chunks — rewrites the file without them, and re-scans the cleaned copy before you download it. It cannot remove pixel-level watermarks or stop a platform's own visual AI detection, so it cannot guarantee an image will not be labelled.
Last updated
AI Metadata Remover inspects a JPG, PNG or WebP for the embedded provenance data that social platforms read when deciding whether to attach an “AI-generated” label to your post. That data includes C2PA Content Credentials (the signed manifest Adobe, OpenAI and Microsoft tools write), generator names in XMP and EXIF fields, the IPTC Digital Source Type value trainedAlgorithmicMedia, and PNG text chunks that store the literal prompt used to render the picture.
After the scan you choose a lossless strip, which deletes metadata blocks without touching a single pixel, or a deep clean that re-encodes the image from raw pixels so no embedded structure survives. The cleaned file is scanned a second time before the download button appears, so the “verified clean” badge reflects a re-scan of the output bytes for the same signals, not what the tool hoped to remove. It covers file metadata only: pixel watermarks and a platform's own visual AI detection are outside what any metadata tool can change.
How it works
1. Upload one image
Drop a file into the dropzone labelled “Drop your image here” or click to browse. JPG, PNG and WebP up to 50 MB are accepted, and the scan starts the moment the file loads — nothing is uploaded to a server.
2. Read the AI signal report
The report lists every detected signal — for example “C2PA Content Credentials” in a JPEG APP11 segment or a Stable Diffusion prompt in a PNG text chunk — with a note on why platforms may treat it as an AI marker. A clean file shows a green “no signals” message instead.
3. Choose output format and clean mode
Pick Same as input, JPEG, PNG or WebP, adjust the quality slider for lossy exports, and toggle “Deep clean (re-encode pixels)” if you want the file rebuilt from pixels so stubborn C2PA boxes cannot survive.
4. Remove, verify and download
Click “Remove AI Signals & Metadata”. The result card compares signal counts before and after, shows the new file size, and only displays the verified-clean confirmation when the re-scan finds zero remaining signals.
When you'd use it
Checking why Instagram flagged a post
If a photo you edited or exported got an unexpected “AI info” label, scan it here first. The report tells you whether a C2PA manifest, an XMP generator tag or an IPTC source-type field is what the platform reacted to.
Removing provenance before client delivery
C2PA manifests can carry edit history, tool versions and account identifiers. Designers delivering final artwork often strip that trail so the client receives pixels without a built-in changelog.
Cleaning AI-assisted drafts you own
Concept artists who rough out ideas in a generator and finish by hand may not want the draft's generator name and full prompt embedded in the final export they publish or sell.
Auditing a dataset of generated images
Researchers and moderators can check sample files one at a time to see which generator tags they carry and confirm the metadata is gone before redistribution.
How platforms actually detect AI images
Platforms such as Meta, TikTok and Google can draw on three kinds of evidence. The first is provenance metadata: C2PA Content Credentials and IPTC digital source types are machine-readable declarations that a generator made the file, and platforms that support these standards read them. The second is generator signatures — strings like “Midjourney” or “Adobe Firefly” sitting in XMP creator-tool fields. The third is invisible: pixel-level watermarks such as Google SynthID and visual classifiers trained to recognise diffusion artefacts.
This tool targets the first two, because they live in metadata blocks that can be deleted or rebuilt, and it only reports the generator names and markers it knows. It cannot touch the third group, so a platform may still label an image after a thorough metadata clean. Removing metadata is useful for privacy, but it is not an invisibility cloak.
Lossless strip vs deep clean
The default path edits the file at the byte level: JPEG APP1/APP13 segments, PNG text and EXIF chunks, and WebP EXIF, XMP and C2PA chunks are cut out while the compressed image data is copied across untouched. Quality is identical to the original because the pixels are never re-encoded. A WebP C2PA chunk is removed by this strip, but in JPEG and PNG files C2PA usually sits in APP11 segments or caBX chunks that it keeps, so the tool re-scans the output and automatically switches to a deep clean when a signal remains. JPEG and PNG files carrying C2PA therefore usually end up re-encoded.
Deep clean redraws the picture onto a fresh canvas and encodes a brand-new file, so no metadata block from the original carries over. JPEG and WebP outputs are recompressed at your chosen quality, so a slightly smaller or softer file is the trade-off, and the embedded colour profile is not kept.
Using the tool responsibly
Stripping provenance metadata is a normal privacy practice — the same operation as removing GPS coordinates before sharing a photo. But several platforms, Instagram included, ask creators to disclose realistic AI-generated or AI-edited media, and repeated misrepresentation can limit an account's reach. Use the cleaner to protect your privacy and deliver tidy files, and keep disclosure habits that match the platform you publish on.
Frequently asked questions
Will this remove the “Made with AI” label on Instagram?
Not guaranteed. It removes the provenance metadata Meta has said it reads for AI labels (C2PA credentials and IPTC source types), along with known generator tags. If the label came only from that metadata, a cleaned file no longer carries it, but Instagram can also use its own detection and ask creators to self-disclose, which no metadata tool can influence.
Can this tool remove invisible watermarks like Google SynthID?
No. SynthID and similar watermarks are woven into the pixel data itself and survive re-encoding. This tool removes file-level metadata only, and it says so plainly rather than promising undetectability.
Does cleaning the metadata change how my image looks?
When the lossless strip is enough and you keep the same format, the compressed image data is copied unchanged, so there is no visual change. When deep clean runs, whether you turned it on or the re-scan triggered it, the image is re-encoded at the quality you pick; at 90% or above the difference is usually hard to see.
Which files can I scan for AI metadata?
JPG, PNG and WebP up to 50 MB. The scanner reads JPEG APP and comment segments, every non-pixel PNG chunk, and the EXIF, XMP, ICC and C2PA chunks of a WebP file, so it finds C2PA manifests, XMP packets and generator tags in all three formats.
Is removing AI metadata against Instagram's rules?
Removing metadata from your own files is legal and common for privacy. Platform policies are separate: Instagram asks you to disclose realistic AI content, so review their current AI content rules before publishing.
Are my images uploaded anywhere during the scan?
No. The scan, the strip and the verification all run in your browser's memory using the file bytes directly. Nothing is sent to a server.