Core Viewpoint - The rapid evolution of large language models is driving the emergence of a new generation of AI PPT tools, transitioning from "content packaging" to "expressive collaboration" [2][3]. Group 1: Overview of Main Tools - The evaluation covered 11 AI products capable of generating PPTs, representing various paths and product forms in the current AI PPT landscape [4]. - The tools include general model assistants, multi-turn dialogue agents, vertical presentation tools, and intelligent assistants integrated into office ecosystems [4]. Group 2: Evaluation Methodology - Six typical tasks were designed to reflect real-world applications of AI in PPT creation, focusing on understanding task intent, organizing content structure, and generating page design [7][10]. - The core usage scenarios for PPTs were categorized into four types, with specific tasks designed to meet real user needs [8]. Group 3: Performance Metrics - The evaluation focused on three dimensions: content accuracy, visual design, and editability [11][12]. - The assessment was subjective, emphasizing the "minimum usability" of the products rather than their maximum capabilities [12]. Group 4: Testing Results - In the information-dense task, most products accurately identified task intent and produced clear content frameworks, with some tools capable of generating initial drafts [15][20]. - Visual design varied significantly, with some products demonstrating strong information organization while others produced less polished results [16][20]. - In the proposal task, most products covered common structures but varied in content effectiveness, with some relying heavily on template language [23][26]. - The presentation task showed that while most products could generate structured outlines, many lacked depth and required manual adjustments for formal settings [30][33]. - The educational task indicated that AI tools could generate clear content structures but often lacked the necessary depth for classroom use [37][39]. - In the business plan task, while all products generated relatively complete frameworks, the depth of content varied significantly, with some lacking data support [41][45]. - The science lecture task demonstrated that most products could create structured presentations, but many still required human intervention for accuracy and clarity [47][49]. Group 5: Editability and Usability - All evaluated products supported exporting to PPTX format, but some faced compatibility issues during export [52]. - Most platforms allowed for online editing, with varying degrees of functionality and user experience [53][55]. - The overall editing convenience showed that AI PPT tools could support basic adjustments, but further improvements are needed for a seamless user experience [56]. Group 6: Summary of Findings - Current AI tools exhibit mature structural organization capabilities, significantly reducing the initial workload of creating presentations [57]. - Differences in content generation primarily relate to information density, language accuracy, and contextual understanding [57][63]. - Visual expression remains a challenge, with most tools relying on template-driven designs rather than content-based visual presentation [57][63]. - The ability to generate charts varies significantly among products, with some showing strong capabilities while others lack basic chart generation [64].