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Image Optimization

Tips to optimize the images on your label sets.

​For best printing results:

  • Use small images. Have your image size as close to printed size as possible. The ideal size is 24 to 100 pixels for width or height. Larger images slow down printing.
  • Use black and white images, not color or grayscale.
  • Encode and embed images rather than link them.

Encode

You can add logos and images to your label using HTML with a base64 encoded image.

You should optimize images before you encode them. The goal is to reduce the file size as much as possible before you encode.

  • Use black and white images, not color or grayscale. If using a photo editor, true black and white is called "bitmap". Try different dithering methods to get the result you like.
  • Downsize the image before you export. Aim for 100 pixels on the longest side.
  • Use a PNG or GIF unless a JPG is smaller in file size. These formats usually result in smaller files for black and white images.
  • Check your work. A great file size is 10K. A file size of 100K is within reason, but you should try to get it smaller. A file size of 500K is too big.

Embed (Example HTML)

Example HTML with base64 encoded image preference:

<img src=url"data:image/png;base64,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";