FREQUENTLY ASKED QUESTIONS

Yes, today artificial intelligence can help generate a packaging design visualization or a creative idea, but it is important to understand that such an image is not yet a professional production layout.

More and more of our clients come with images generated by Midjourney or DALL-E, and that is natural, because a packaging visualization is created quickly and looks impressive. However, packaging production requires completely different files – precise 2D drawings (dielines), high-quality print layouts with vector graphics, and special layouts (files) for printing effects.

Simply put, you cannot directly manufacture packaging from a beautiful AI-generated picture. Similarly, you cannot sew a piece of clothing from a photo – first, you need construction, materials, and technical preparation.

In practice, AI-generated visualizations often become an excellent starting point for style searches, matching colors and materials, presenting a packaging idea, and communicating with a designer, manufacturer, or even a potential client.

Nevertheless, an AI-generated design can be used in manufacturing packaging; we have already done this. If you plan to use an AI-created box visualization for printing, it is recommended to generate the images in the highest possible resolution from the very beginning or to use the so-called upscale functionality, which increases the resolution and detail of the image. This helps preserve better quality when preparing the design for print.

However, even when using upscale, the final production layout must still be prepared by a professional packaging designer. The workflow is as follows:

1. First, a MAZUS packaging engineer generates a box drawing with real dimensions from the cardboard planned for the project. Before laying out the design, a prototype is always made so the client can ensure that the box size is correct, because creating a layout on an inaccurate drawing is just a waste of time and resources.
2. Then, a professional designer cuts up, transfers, and adapts the AI-generated design onto this drawing according to the real proportions of the drawing. This is one of the most difficult parts of the job, because AI-generated dimensions almost never match real drawings.
3. After that, the designer makes all elements of the layout high-quality so that they are suitable for offset (or another type of) printing. They redraw some elements into vector graphics and add the missing information, such as the product composition description, instructions for use, barcode, and packaging labeling.

Today, artificial intelligence helps visualize an idea faster, but a production-ready packaging drawing and layout still require human experience and technical knowledge.

2026-05-18