Label Cleanup is a web-based media cleanup tool designed to help creators, businesses, marketers, social media professionals, and other digital publishers understand what information is attached to their photos and videos before sharing them online. Rather than judging whether an image or video looks AI-generated, Label Cleanup examines the metadata and source information contained within the actual file. This makes it useful as a pre-publishing checkpoint for digital content.
The platform can identify supported AI source declarations and Content Credentials, while separately showing readable privacy-related information that may be embedded in a file. Depending on the media, this can include details such as GPS coordinates, capture dates, device information, creator details, and other metadata. This distinction helps users understand that AI-related information and personal information are two different aspects of a media file that may both deserve review before publication.
Label Cleanup supports common image and video containers, including JPEG, PNG, WebP, TIFF/DNG, MP4, and MOV, with a maximum file size of 200 MB per selected file. The service works with supported C2PA, XMP, EXIF, and IPTC metadata. It is designed to process the metadata attached to the file without re-encoding the underlying image or video data.
The workflow is straightforward. A user uploads the final photo or video they intend to share and starts with a free scan. The platform analyzes the file and presents its findings. If cleanup is required, users with active paid access can remove supported metadata blocks. Label Cleanup then scans the resulting file again before providing the checked copy for download. This verification step gives users an opportunity to review the output rather than assuming that the cleanup was successful.
The tool is particularly relevant to social media workflows. Label Cleanup provides pre-upload workflows for platforms including Instagram, Facebook, TikTok, X, LinkedIn, and Pinterest. For example, a social media manager can scan a final campaign image before publishing it, while a creator can check a finished video export before uploading it to TikTok or another platform.
An important distinction is that Label Cleanup is not a conventional image or video editor. It does not remove visible logos, text overlays, or pixel-based invisible watermarks, and it does not modify the visual content of a photograph or video. Its focus is the information attached to the file rather than the pixels themselves.
Label Cleanup can therefore be viewed as a media privacy and pre-publishing quality-control tool. It gives users greater visibility into the information their digital files carry and provides a structured way to clean supported metadata before distributing a sharing copy, while encouraging users to retain their original master files and review the final output.
