Turning a Company Presentation Directly into a Catalog? A Senior Consultant Shows How to Use AI to Avoid Layout Disasters

Turning an existing sales presentation into a sales catalog is a common request from corporate clients. The most direct solution is absolutely not to save it as a PDF and send it straight to print. Try forcing a 16:9 presentation into a vertical A4 layout and the text will become too small to read, while the image proportions will be completely thrown off

At MINDS Knowledge Academy, we often emphasize one idea: a presentation is a supporting tool for someone speaking, while a catalog is a standalone marketing piece that customers read on their own. Presentations often contain highly conversational explanations, short bullet points, and even speaker notes meant only for the presenter. If all of that is copied unchanged into a catalog, readers will only feel that the information is fragmented and hard to follow

The key to conversion is rebuilding the chapter structure. That means cutting transitional phrases used during a talk, filling in product specifications that make no sense without verbal explanation, and rearranging the cover, back cover, and page numbering. This used to be extremely time-consuming editorial labor, but we now have a more efficient way to handle it

Handing a pile of messy sales slides directly to a designer is almost always where major design revisions begin. Designers are not mind readers. It is hard for them to judge which filler lines should be removed and which specification tables need to be emphasized

Based on the projects I have worked on recently, the most practical approach is to add one extra step before design and layout. We can use AI to extract the text from the original presentation, rewrite the paragraphs, and plan the page information structure. You can give AI very specific instructions, such as turning bullet-point talking points into smooth paragraphs, or consolidating product information scattered across more than a dozen slides into one complete specification table

The biggest benefit is that main headings, product selling points, and calls to action (CTA) are already ordered and prioritized before the designer even opens the software. Once the written materials are organized into a clear page information structure, outsourcing the design work becomes much easier and communication costs drop at the source

This is one of the questions I get most often. Many client presentations are full of images pulled from the web or screenshots taken directly from the company website. They look clear on screen, but once printed, they turn into pixelated blocks

To be honest, today’s AI image upscaling tools can help a little, but only to a limited extent. AI pixel-filling technology can make the edges of a 72 dpi web image look somewhat smoother, but it cannot create details that were never there in the first place. If your product needs to show material texture, such as machinery or high-end goods, an image enlarged aggressively with AI will still print with an odd plastic-like or watercolor-like feel

There is no shortcut in this situation. Image quality and color mode conversion (RGB to CMYK) still need to be checked manually one by one. If the original image is simply too small, the best solution is still to ask the client for the original file or reshoot the image. If you want the final printed piece to feel premium, you can work with a team like MINDS Printing, which focuses on mid- to high-end fully customized commercial printing, to review image quality during the prepress stage

To keep the conversion process from going wrong, I usually follow a standard review workflow. These three checkpoints are, in my view, essential when turning a presentation into a professional catalog:

・Content restructuring: First feed the presentation text into AI and ask it to remove conversational filler, complete the product specifications, and produce a main/subheading outline with hierarchy labels

・Visual inspection: Manually review all image assets. Pull out tiny images that are only a few dozen KB and check whether high-resolution originals exist. At the same time, confirm whether charts need to be redrawn by a designer instead of directly pasting blurry screenshots

・Structural planning: Confirm the physical structure of the entire catalog. This includes deciding the paper for the cover and back cover, the binding method, and whether the total page count meets binding requirements, which usually means a multiple of 4

If your company does not have a dedicated prepress planner, or if you want help sorting through a complex conversion project like this, the consulting team at MINDS Knowledge Academy can provide practical workflow checks and recommendations

・A presentation is meant to be spoken through; a catalog is meant to be read independently. Converting one into the other requires rewriting and restructuring

・Before designers start layout work, using AI to organize a clear page information structure can greatly reduce repeated revisions later

・AI upscaling can smooth image edges, but it cannot create details from nothing. To show quality in print, original high-resolution 300 dpi image files are still essential

・Page numbering and binding methods are physical constraints that presentations do not have, and they must be considered early in the design stage

For companies, AI is not a tool that instantly outputs a fully laid-out catalog. It is better understood as a tireless planning assistant that helps turn fragmented presentation logic into readable chapters. Let tools handle the most time-consuming content organization, and leave quality control and physical production planning to professional printing practitioners. That is the most practical collaboration model for now