Remove AI metadata before uploading to Linkedin

Images prepared for post images, company updates, headshots and article covers often pass through several apps. Each export can add EXIF, XMP, IPTC or Content Credentials, so inspect the exact final file to understand what will be shared.

Remove AI Labels works on-device. For JPG, PNG and WebP it removes metadata containers without decoding and re-encoding the image, preserving the compressed pixel payload.

Use the full cleaner when the distribution copy should omit private metadata and provenance. Choose AI-only cleaning when camera information must remain, or use the dedicated GPS tool when location is the only concern.

No metadata utility can guarantee a decision by Linkedin. A platform may also use pixel watermarks, visual classifiers, account disclosures or information retained from an earlier upload.

Archive an untouched provenance copy, make a separate sharing derivative, inspect the download and only then select it in Linkedin. Apply the same workflow to every file in a carousel, gallery or listing.

When an AI tool created the image, the source-specific export guides help identify likely markers before you move to the destination workflow.