EXIF
카메라, 촬영 시간, 소프트웨어, GPS 필드를 식별할 수 있습니다.
Linkedin upload guide
Remove AI metadata before uploading to Linkedin
Prepare post images, company updates, headshots and article covers in your browser. Strip C2PA, XMP, EXIF and private metadata before posting.
- 1이미지 선택
- 2메타데이터 정리
- 3사본 다운로드
기기에서 직접 처리합니다. 원본 파일은 서버에 업로드되지 않습니다.
JPEG, PNG, WebP의 압축 이미지 데이터는 변경되지 않습니다. 다만 EXIF 방향 정보를 제거하면 이미지가 표시되는 방향이 달라질 수 있습니다.
01
Linkedin upload guide
Prepare a clean file for Linkedin
This page is tailored to post images, company updates, headshots and article covers. Process the exact final file you intend to publish.
The tool creates a clean distribution copy on your device. Keep the original privately when you need copyright, camera or provenance records.
02
한 번의 처리
제거하는 정보
XMP
편집기와 생성 도구의 메타데이터 패킷.
C2PA
지원되는 구조에 포함된 파일 수준 Content Credentials.
PNG 텍스트
PNG 텍스트 청크에 저장된 프롬프트와 작업 설정.
GPS
이미지 메타데이터의 위치 정보 필드.
비공개
계정이나 원본 파일의 서버 업로드가 필요하지 않습니다.
03
권장 작업 순서
Linkedin upload workflow
1
Export the final asset
Finish editing and download the full original to your device.
2
Inspect and clean
Check the file, then remove C2PA/XMP and unwanted privacy metadata.
3
Upload the download
Use the clean copy; process every image in a carousel or gallery.
04
심층 가이드
Why inspect an image 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.
05
심층 가이드
Choose the right cleaning scope for Linkedin
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.
06
심층 가이드
From image source to the final Linkedin 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.
08
FAQ
자주 묻는 질문
Can this remove a label already shown on Linkedin?
It cannot alter a file already stored by the platform. Prepare a clean copy and upload it again when appropriate.
Will the pixels change?
For JPG, PNG and WebP, the cleaner rewrites metadata containers without decoding or re-encoding compressed pixels. HEIC-to-JPG is the conversion exception.
Is a no-label result guaranteed?
No. The tool removes readable file metadata; the platform may use additional signals.
Is my image uploaded to a server?
No. The file is processed locally in your browser and is not sent to our server.
Should I clean an image before or after editing it for Linkedin?
Finish editing and export the final asset first, then inspect and clean the exact file you will upload.
How are C2PA, XMP and EXIF different?
C2PA carries provenance, XMP carries extensible editor data, and EXIF commonly stores camera, time or GPS information.
Can I process a batch of images?
Yes. Select up to 30 files, each up to 15 MB, then download files individually or as a ZIP.
Should I keep the original image?
Yes. Archive the untouched source when you may need authorship, camera or provenance records later.
Why might Linkedin still show AI information?
The platform may use pixel watermarks, visual classifiers, account information or a result retained from an earlier upload.
이미지를 정리하고 작업물을 보존하세요.
계정 없이 기기에서 직접 처리합니다.
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