The label is driven by hidden metadata, not your pixels. StripShot strips the C2PA, XMP, and IPTC tags that platforms read, at the binary level in your browser, so the trigger is gone and your image quality stays identical. Clean the file, then re-upload it.
Last updated June 2026
When you upload an image, platforms scan the file for provenance metadata: C2PA Content Credentials, XMP AI tags, and IPTC fields that declare a file was AI-generated or AI-edited. If any of those signals are present, the "Made with AI" (or "AI info") label is applied automatically. The decision is metadata-driven, not always a verdict about the pixels themselves.
That is why removing the metadata before you post addresses the file-level trigger. It is also why a screenshot or re-save often "works" by accident, by destroying the metadata along with your quality. StripShot removes only the metadata and keeps the pixels intact.
The most common reason a real photo gets labeled is an AI-assisted edit on an otherwise genuine image:
In each case the photo is real, but the editing app wrote a provenance tag the platform now reads. Removing that tag corrects the label honestly.
Export the original file
Save the original export from your editor or AI tool. Screenshots and re-saves can re-add tags or lose quality.
Drop it into StripShot
Drag the JPEG, PNG, or WebP into the tool. It scans for C2PA, XMP, IPTC, and 70+ AI generator signatures in your browser.
Strip the provenance metadata
Click strip. The C2PA Content Credentials and AI tags are removed at the binary level while your pixels stay untouched.
Re-upload the clean file
Post the cleaned copy. With the metadata trigger gone, the platform has nothing left to read for the label.
This is where StripShot differs from most label removers. Many tools open your image, modify it, and re-encode it, which recompresses your pixels and can even change your format (JPEG saved out as PNG). Some openly alter the image fingerprint, which is just a quieter way of saying they re-encode.
StripShot removes the metadata marker blocks and writes the original pixel bytes straight back. The cleaned file is byte-for-byte identical in quality to the original, in the same format. Removing the AI label costs you nothing in image quality.
Some AI images also carry an invisible watermark embedded in the pixels themselves, like Google SynthID (used by Imagen, Gemini, and Veo). That is not metadata, so no metadata remover, including StripShot, can strip it without degrading the image. Platform pixel classifiers can also flag an image regardless of metadata.
We tell you this plainly: StripShot removes the metadata-driven label, which is the common case. It does not promise to defeat pixel watermarks or visual detectors. See our disclaimer.
Once Instagram or any platform ingests your upload, it keeps its own copy and its own label state. There is no way to edit a live post's metadata. Always clean the original file first, then upload the clean copy as a fresh post.
Remove the "Made with AI" label before posting to Instagram.
Stop Pinterest from flagging and suppressing your pins.
Clean AI metadata from videos before uploading to TikTok.
LinkedIn, Etsy, and X read the same provenance metadata.
From August 2026 the EU AI Act introduces transparency rules for AI-generated content. Removing a file's metadata is a technical step you control; how you choose to disclose AI involvement when you publish is your responsibility and may be governed by platform terms and regional law. StripShot does not provide legal advice. Read our full disclaimer.
Drop the image into StripShot, click strip, and download the clean file. StripShot removes the C2PA Content Credentials, XMP, and IPTC provenance tags that platforms read to apply the label. Then re-upload the cleaned copy, because the label cannot be removed from a post after the platform has already ingested the file.
The label is driven by metadata, not by the pixels. If you edited a genuine photo with Photoshop Generative Fill, Lightroom AI Denoise, or an AI background tool, those apps write C2PA or XMP tags into the file. Instagram reads those tags and applies the label automatically, even though your photo is real. Removing the tags before you post corrects the false positive.
No. Once a platform ingests your upload it stores its own copy and its own label state. You cannot reach into a published post and strip it. The fix is to clean the original file and re-upload it as a new post.
No. StripShot edits the file at the binary level and removes only the metadata marker blocks. The pixels are never decoded or re-encoded, so the output is identical in quality to the original. Tools that re-save or alter the image fingerprint recompress your pixels; StripShot does not.
EXIF holds camera and GPS data. IPTC holds editorial caption and credit fields. XMP is Adobe's XML metadata that can carry AI tool signatures and the DigitalSourceType field. C2PA is signed provenance metadata that declares whether a file was AI-generated. Platforms read C2PA, XMP, and IPTC to decide on the AI label. StripShot removes all of them.
No, and no metadata tool can. Google SynthID is baked into the pixels of images from Imagen, Gemini, and Veo, not stored as metadata. StripShot removes file metadata with zero quality loss; it does not and cannot alter pixel-level watermarks. We tell you this plainly rather than overpromise.
You own your file and can edit its metadata. How you then publish it may be governed by a platform's terms and, from August 2026, the EU AI Act's transparency rules for AI-generated content. StripShot gives you control over your own file; it is not legal advice. See our disclaimer.
No. The entire process runs in your browser. Your photo never leaves your device, which is why there is nothing to upload and nothing stored.
Strip C2PA, XMP, and generator tags from any AI image.
EXIF, GPS, XMP, IPTC, and C2PA in one pass.
See the C2PA and AI tags hidden in a file before you strip it.
The provenance standard behind the "Made with AI" label.
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