Remove C2PA credentials
We strip C2PA and JUMBF credentials added by cameras, Adobe Photoshop, and generative tools. These records are one of the primary signals Instagram checks.
We strip C2PA and JUMBF credentials added by cameras, Adobe Photoshop, and generative tools. These records are one of the primary signals Instagram checks.
We remove IPTC digital source tags, prompt records, and software names that mark an image as synthetic or AI-edited.
We strip metadata directly from file headers. We never recompress, resize, or alter image pixels, so your photo looks exactly the same.
Real photos edited in Lightroom or Photoshop can pick up AI flags from simple retouching. Removing those tags helps prevent Instagram from adding an automated AI label.
We clear GPS coordinates, camera serial numbers, timestamps, and device details along with AI markers so your private details stay off Instagram.
Review every EXIF, IPTC, and XMP tag found in your file before you clean it, then confirm the records are gone after cleaning.
Clean JPEG, PNG, and WebP images before uploading them to your Instagram feed, story, or carousel.
Uploaded images are processed in temporary memory and permanently deleted within 30 minutes. We never store your files or use them for training.
Upload your image and download the cleaned version immediately. There are no signups, no subscriptions, and no added watermarks.
Remove any AI metadata footprints with this tool. To use it, simply you can uplaod any supported format image that is less than fifty mega bytes in size.
After uploading, you can immediately view all the current metadata. We will also asess it for any known AI Metadata footprints.
Click on “Remove AI Footprints” button to get rid of all the metadata. Please, note that it will remove all other metadata also.
Disclaimer: The tool uses metadata to detect AI footprints and remove only metadata related AI footprints. Some tools may still use hidden watermark footprints and we can not do anything about it. You have to manually find and mask them
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