Prezent needed a Vision AI solution to automatically detect slide structures because traditional tools were slow, unreliable, and often failed to preserve the design.
With Ultralytics YOLO models, Prezent improved accuracy from 65% to 87%, cut training time from 3 days to 1, and reduced slide processing to under 10 seconds.
Presentations are key for clear communication in business meetings, but redesigning them to be both impactful and informative can be challenging. Prezent uses AI to detect and understand slide elements like titles, text, images, and charts, ensuring redesigned slides remain clear, visually engaging, and easy to follow.
When testing various tools for slide element detection, Prezent found that many disrupted layouts and information hierarchies, making presentations less cohesive. By integrating Ultralytics YOLO models, Prezent streamlines the process, making slide element detection faster, smoother, and more professional with minimal effort.
Making slide redesign faster and smarter with AI
Prezent helps C-suite executives and business teams create clear, professional presentations by automating the redesign process. Originally, this relied on manual templates and human effort, which was slow and inefficient.
To improve efficiency, Prezent turned to AI and computer vision to automate slide formatting while preserving the original layout. By using object detection models, their platform can now automatically detect and organize slide content for a faster, more seamless redesign process with minimal user input. By doing so, Prezent makes sure that presentations remain clear, visually appealing, and easy to follow.
The hurdle in AI-powered slide redesign
A great presentation isn’t just about information - it’s about clarity, structure, and impact. However, manually redesigning slides to make them more engaging takes time and effort. For C-suite executives and business teams, who frequently rely on presentations for meetings, the slow and frustrating redesign process was a major challenge.
Prezent set out to automate slide redesign, but there was a key obstacle - how do you detect and reorganize slide elements while keeping everything in place? Traditional tools could extract text but failed to recognize how titles, images, and charts were arranged, often disrupting the layout.
Initially, Prezent used open-source object detection models, but these methods had limitations: low accuracy (60-65%), slow processing times, and layouts that still needed manual fixes. To truly automate the process, Prezent needed a faster, smarter Vision AI solution that could accurately detect slide elements and redesign them without compromising structure. That’s when they turned to computer vision and AI to make the process seamless.
Prezent’s vision AI solution for slide element detection
To automate slide redesign while keeping layouts intact, Prezent integrated Ultralytics YOLO models into its platform. Ultralytics YOLO models support various computer vision tasks, including object detection. Slides are converted into images, and YOLO detects key elements - titles, text boxes, images, and charts - while keeping the original layout intact.
YOLO plays a crucial role in layout extraction, helping Prezent preserve the structure and hierarchy of each slide while enabling fast, automated redesigns. By recognizing both text and visual elements, YOLO helps make sure that presentations maintain both their functionality and polished design. With high accuracy and fast processing, YOLO empowers Prezent to automate slide element detection, reducing the need for manual adjustments.
Why choose Ultralytics YOLO models?
Prezent chose Ultralytics YOLO models because they can be trained faster, they are more accurate, and have lower latency compared to other Vision AI models. Prezent found that most models took two to three days to train, slowing down iterations and improvements.
"Normally, training a machine learning model takes a huge amount of time, and you often have to wait two to three days for the inference and then decide if the accuracy is good enough. But with YOLO, we can train the model in a single day, make decisions quickly, and rapidly learn from the results," says the Principal Data Scientist at Prezent.
With YOLO, Prezent’s accuracy increased from 65% to 87% and was able to quickly refine models and enhance performance. Also, YOLO’s fast inference speeds enable slide processing in under 10 seconds, guaranteeing real-time automation and a seamless user experience. By integrating YOLO, Prezent found a reliable, scalable solution for efficient and accurate slide redesign.
Processing slides in under 10 seconds with YOLO
By harnessing Ultralytics YOLO models, Prezent redefined its slide redesign process to be faster, more efficient, and highly accurate. The ability to automatically detect and organize slide elements ensured that presentations maintained their original structure, clarity, and visual appeal without manual intervention.
"Using Ultralytics YOLO, the processing speed is also superior as we can provide our customers with fully processed slides in under 10 seconds. The rapid training time and low latency have been key to streamlining our workflow and improving the quality of our redesigns," shared the Principal Data Scientist at Prezent.
With YOLO’s real-time processing capabilities, Prezent was able to fully automate slide layout detection, eliminating the inefficiencies of manual redesign. C-suite executives and business teams can generate polished, professional presentations instantly, improving workflow efficiency and user experience. By integrating computer vision and AI, Prezent has built a scalable and automated solution that enhances both productivity and presentation quality.
The road ahead for computer vision in document analysis
Prezent would like to see computer vision models improve in their ability to handle more complex layouts and provide deeper insights into document structures. This would enable more refined and accurate slide redesigns.
One potential improvement is the ability to group related elements into subcategories. Such insights would help Vision AI models understand the hierarchy and relationships between slide components. As a result, redesigned slides would be better structured, visually cohesive, and easier to follow.
Overall, Prezent believes that as the demand for automation and AI-driven solutions increases, computer vision models will continue to evolve to handle more complex tasks with greater accuracy and speed.
Curious how Vision AI can improve your business? Visit our GitHub repository to check out Ultralytics' AI solutions for different industries, like computer vision in healthcare and manufacturing. Discover how our YOLO models and license options can help you get started today!