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Create Stamps on PNG Image
Add Vintage and Rubber Stamps to Your PNG Images Online
o trascina e rilascia un file
Supporta formati PDF e immagini (massimo 100MB)
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Note create quotidianamente
Domande Frequenti
Upload your PNG image and use the annotation tools to add stamp-like marks by drawing or using shape tools. You can customize colors to match a stamp texture.
Yes, use the pen tool for freehand drawing with customizable colors to mimic vintage stamp textures on your PNG images.
While the tool itself doesn't specifically create transparency, you can mimic transparent stamps by choosing lighter colors and adjusting the stroke width.
The tool supports .jpg, .jpeg, .png, and .webp image formats. For PNG images, you can directly add stamps and download the edited file.
Yes, the color picker allows you to select various colors for your stamps, including a classic blue stamp color.
Use shapes like circles and rectangles to simulate rubber stamp designs on your PNG image, then adjust stroke width to enhance realism.
Yes, after adding your stamps, you can download the edited PNG image for free. Ensure you're logged in to access download options.
Yes, your PNG image must be under 100 MB. Larger files need to be reduced before uploading for stamp annotation.
No, this annotation tool is available on desktop browsers only. Use it on a laptop or desktop computer for optimal performance.
No, the tool processes one file at a time. Address each PNG file separately to add your custom stamp designs.
Yes, add a tick by using the pen tool for freehand drawing, or the shapes tool for precise geometries like lines and check marks.
You can sketch a logo or use shapes to define a recognizable design on your PNG image. Customize colors to ensure it stands out.
No, this tool doesn't support real-time collaboration. It focuses on individual editing sessions on a single file at a time.
No, existing text in PNG images can't be edited. You can only add new annotations like stamps and shapes to the image.
This tool doesn't offer OCR for text extraction. Use it for annotations only, and consider a separate OCR tool for text extraction tasks.