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Customize Highlights on Image
Enhance Your Images by Customizing Highlights
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)
製品を使用することにより、あなたは当社の利用規約 に同意し、当社のプライバシーポリシー.
世界中で数百万人に信頼されています
4.4
G2で2,100件以上のレビュー
4.4
Capterraで8,200件以上のレビュー
4.4
App Storeで73,000件以上のレビュー
2.5億
登録ユーザー
50億
作成されたノート
200万
毎日作成されたノート
よくある質問
Upload your image in JPG, PNG, or WEBP format. Select the highlight tool and choose your color. Click and drag over areas you want to emphasize.
Yes, the tool offers a color picker that lets you choose any color to customize your highlights perfectly for your needs.
Upload your image and use the highlighting tool to add emphasis. You can customize colors to fit your Instagram aesthetic.
Yes, our online tool allows you to add and customize highlights on your images for free without needing to download software.
Once you finish highlighting, click download to save your image with embedded highlights. You can also save to Evernote if logged in.
You can upload and annotate images in JPG, JPEG, PNG, and WEBP formats for maximum flexibility in your design projects.
Using the highlight tool, you can focus attention on key image areas by customizing highlight color and intensity.
Yes, use the text annotation tool to add notes or comments alongside your highlights for additional context or information.
Absolutely! Customize your Instagram story images by using highlight tools to make your visuals more engaging before posting.
While you can upload images processed in Photoshop, this tool doesn't offer direct editing capabilities for PSD files.
No, the tool is desktop-only and requires a desktop or laptop browser for full functionality.
No, the tool is designed for single file processing. Annotate one image at a time, then download and start a new session.
You can add new highlights with different colors, but changing existing highlighted areas may require re-uploading the file.
The maximum file size is 100 MB per file, ensuring quick uploads and efficient editing.
No, text extraction is not supported. The tool focuses on adding annotations rather than performing OCR.