An AI label can describe a photo, a video or an entire profile. Start by identifying where the label appears. That determines whether you should inspect a file, review a publishing disclosure or investigate an account setting.

Free AI Wiper inspects supported metadata in local files. It cannot edit a published post or change a social network's account records.

Choose your platform

Meta's published labeling approach distinguishes generated content from AI edits. LinkedIn describes its display through Content Credentials. A similar-looking badge does not mean the platforms use identical controls.

Troubleshoot a specific Instagram problem

For a video, use the Instagram Reels AI-label checklist. Inspect the exported video and its cover separately.

For a design exported from Canva, read why Canva edits may receive an Instagram AI label. The feature used and the source image both matter.

For wording beneath your profile name, start with Instagram's AI-generated profile label. Cleaning a photo cannot change an account-level label.

Check the file before drawing conclusions

  1. Keep the original export and note the exact wording and location of the platform label.
  2. Inspect the file locally. Review the supported records found, rather than assuming every editor adds the same metadata.
  3. If you choose to remove supported metadata, compare the inspection and output reports. Keep any provenance needed for your work.
  4. Review the platform's own explanation separately. A clean report describes the file, not the platform's future decision.

Use the image format page or video format page to check support and limits before choosing a file.

Why can the label remain after cleaning?

The service may already hold an uploaded copy, a disclosure or other information. Our guide to labels that remain after metadata removal explains these separate sources. Removing a local record does not prove human authorship or remove a watermark embedded in pixels or audio.