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Delete Badges from Photo
Remove Badges from Photo Online Free
またはファイルをドラッグ&ドロップ
PDFと画像形式をサポート(最大100MB)
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App Storeで73,000件以上のレビュー
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よくある質問
Yes, you can use online photo editors or annotation tools to remove badges from a photo by editing or masking over the unwanted elements.
Upload your image to an online photo editor that supports retouching or cropping. Use tools to blur or cover timestamps and then save your edited image.
Yes, use a photo editor to manually erase or cover the necklace using a clone or patch tool to blend with surrounding areas.
Many online photo editors offer free basic retouching tools that allow you to remove badges, but ensure they meet your quality requirements.
Open Photos, go to Shared Albums, select the photo, and choose "Delete" or "Remove from Album." This action only affects your device.
Log into iCloud, access Photos, select unwanted photos, and click "Delete" to remove them from all synced devices.
No, once a LinkedIn post is made, you cannot edit the photo. You must delete the post and create a new one without the image.
While possible, removing face masks may result in lower quality and require advanced editing skills. Consider professional tools for better results.
You cannot directly delete or edit shared photos in Teams chats. Consider managing shared content through OneDrive or shared folders.
Commonly supported formats include JPG, PNG, and WEBP. Ensure your chosen editor supports your specific photo format before editing.
No, annotation tools typically require a desktop browser for full functionality. Mobile support for similar tasks varies by app.
Yes, use an annotation tool or photo editor to cover unwanted text, though perfect removal may require manual retouching skills.
Yes, typically online tools have a 100 MB per file limit. Check your selected editor's limitations before uploading large files.
No, such tools usually process one file at a time. Edit and download your file before starting with another one.
No, standard annotation tools do not support OCR. Use OCR-specific software if you need to extract text from images.