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한국어
Copy & Paste Rounded Squares to PNG Image
Effortlessly Copy & Paste Rounded Squares to Your PNG Images
또는 파일을 끌어다 놓기
PDF 및 이미지 파일 형식 지원 (최대 100MB)
전 세계 수백만 명이 신뢰하는
4.4
G2에서 2,100개 이상의 리뷰
4.4
Capterra에서 8,200개 이상의 리뷰
4.4
앱 스토어에서 73,000개 이상의 리뷰
2.5억
등록된 사용자
50억
생성된 노트
200만
매일 생성된 노트
자주 묻는 질문
Upload your PNG image, then use the shapes tool to create and customize rounded squares. Copy and paste them within the image as needed.
Yes, select the color picker to choose your preferred shade before drawing the round-edged squares in your image.
The annotation tool allows background transparency, ensuring your rounded squares blend seamlessly with other image elements.
After creating rounded squares in your PNG, save and insert the image into a Word document using standard image insertion methods.
Save your annotated PNG and insert it into a PowerPoint slide using the image insertion feature. Ensure the background is transparent for optimal integration.
Export your PNG with the rounded squares and open it in Photoshop. Use layer features to integrate additional design elements.
Yes, you can upload and annotate single PNG images for free, enhancing with rounded squares and saving updated files.
The tool supports uploading of .jpg, .jpeg, .png, and .webp formats for image annotation.
No, this tool is for adding annotations like rounded squares to images, not extracting elements from them.
No, you can annotate one file per session. Complete your work and download before starting another file upload.
Utilize the shapes tool within our editor. After creating a rounded square, adjust its size and position swiftly.
No, the tool is designed for desktop use only. Access it via a desktop or laptop browser for best performance.
Currently, real-time collaboration and annotation history tracking are not supported within this tool.
Yes, this tool operates entirely online, allowing you to annotate images directly through your web browser without installations.
You can upload files up to 100 MB in size for annotation sessions, ensuring smooth processing of larger images.