Start from the file you will publish
Use the export, not a screenshot of a social app and not a preview inside a chat thread. HEIC works as is and comes back as a clean JPEG. Video files are not opened here.
“Remove AI label” is three different jobs packed into one query. A file can carry provenance metadata. A platform can show a badge. A pixel watermark can sit in the image itself. This tool does the first job. It leaves the other two alone, on purpose.
Cleans metadata in your browser. SynthID and TrustMark stay in the pixels. A cleaned file does not force Instagram to drop a label.
1 image free · Pro $9.99 one-time (unlimited + ZIP)
Free clean used
1 image free in this browser · Pro $9.99 one-time unlocks unlimited cleans + batch ZIP · How to use
Cleaning…
Unlimited images and folder ZIPs. Pay once.
Card, Apple Pay or Google Pay · No subscription
-cleaned.If the mark is LinkedIn’s CR icon, the page for that is LinkedIn Content Credentials.
Tap it. On Instagram and Facebook, AI info is the current name. “Made with AI” is the earlier name for the same family. Meta has said the detail behind the chip distinguishes industry-shared signals (C2PA and IPTC, from tools such as Adobe, OpenAI, Google, Microsoft, Midjourney, and Shutterstock) from a disclosure a person sent. Some lighter edits show up from the post menu rather than as a large badge. A caption edit does not change any of those.
Pages that promise to erase SynthID, TrustMark, and video frames in the same pass are describing pixel and container work this tool does not do. Can you remove SynthID from an image? What you get here is a before list and an After re-scan of JPEG, PNG, or WebP metadata. If Photoshop or Lightroom can export the same image with Content Credentials turned off, Inspect that export first. Clean only when the report still shows C2PA or AI lines.
| What you see | Where it lives | What this tool does |
|---|---|---|
| File tag | C2PA / Content Credentials, AI XMP, IPTC DigitalSourceType, some PNG text keys such as parameters | Inspect, strip, and verify in the browser |
| Platform badge | Instagram AI info, “Made with AI”, Facebook’s matching label, TikTok’s AI-generated label on stills | Can affect a future upload only if the badge was reading those file tags. No guarantee |
| Pixel watermark | SynthID, TrustMark, and similar marks woven into pixels | Not removed. Not detected as EXIF. Out of scope |
If your search was specifically the Instagram chip, go to the surface you have: feed post, Story, or carousel. Older Meta wording is covered in Made with AI. The yes/no matrix is can you remove an Instagram AI label.
Content Credentials are a manifest. In JPEG they often ride in APP11 / JUMBF segments and sometimes in XMP. In
PNG they use a caBX chunk. In WebP they use a C2PA-style RIFF chunk. IPTC’s DigitalSourceType can
say the image is trained algorithmic media or a composite of it. Stable Diffusion-style PNG files sometimes store
a parameters text chunk with the prompt. Those are metadata. The
Remove AI metadata tool reads them into a before report and can drop them in
AI provenance mode without a server upload. The page for those generation tags is the
AI metadata cleaner. A side-by-side with AI Metadata Cleaner is the
alternative page.
Ordinary camera EXIF — make, model, lens, GPS — is metadata too, but it is not an AI label. AI provenance mode leaves typical camera EXIF in place and targets C2PA and known AI hints. Privacy EXIF mode and strip-all are for when you want the camera data gone as well. The mode choice is the whole point of cleaning EXIF and AI metadata.
Use the export, not a screenshot of a social app and not a preview inside a chat thread. HEIC works as is and comes back as a clean JPEG. Video files are not opened here.
Drop the file on the tool. If the before report has no C2PA and no AI lines, there is no metadata label to remove. Stripping an already-empty file will not change a badge. The reading guide is how to check a photo for AI metadata.
AI provenance is the default for this job. Strip-all is the right mode when you want every detected EXIF, XMP, IPTC, and C2PA category gone. Download after the after-report matches that goal. One download is enough; re-drop it if you want to be sure the bytes you share are the bytes you scanned.
Platforms label on ingest. Cleaning a copy after the post, Story, or TikTok photo is already public does not edit the hosted media. Upload the cleaned still as new media.
Instagram, Facebook, and TikTok each decide what to show after they receive the file. They can read C2PA. They can also ignore a clean file and label anyway, because the image was made in their app, because you disclosed it, or because their classifier fired. Remove AI Meta does not ship a “guaranteed label remover”, and pages that promise undetectable AI are describing a different product than the one on this site.
TikTok photo-mode stills and Facebook Feed images use the same cleaner with different instructions: TikTok AI label and Facebook AI Info. LinkedIn’s CR pin is not a second C2PA tool. It is a display of a manifest on the upload, with its own limits: LinkedIn Content Credentials. The bytes are still Remove C2PA.
SynthID and TrustMark are not APP segments you can delete while keeping the picture bitwise identical. They are bound to pixel data. Stripping EXIF, XMP, and C2PA leaves them where they were. If a detector still flags a file whose after-report shows no metadata, that result is consistent with a watermark or with a platform-side classifier. It is not a failed EXIF strip.
If you already cleaned a file and the badge remained, the next page is diagnostic: why Instagram still shows AI info.
Photographer and the label came from a Lightroom export? See why a real photo carries AI fields and how to remove only those.
Use the tool above. Download only after the After report matches the tags you meant to remove.
Remove metadata from this photoOnly when that badge was fed by metadata you removed, and only on a new upload. It does not switch off a label Instagram already applied, and it does not remove SynthID.
No. File tags, platform badges, and pixel watermarks are different systems. This tool edits the first.
Page last updated: