Core Viewpoint - PresentAgent is a multimodal AI agent designed to automatically convert structured or unstructured documents into video presentations with synchronized voiceovers and slides, aiming to replicate human-like information delivery [1][3][22]. Group 1: Functionality and Process - PresentAgent generates highly synchronized visual content and voice explanations, effectively simulating human-style presentations for various document types such as business reports, technical manuals, policy briefs, or academic papers [3][21]. - The system employs a modular generation framework that includes semantic chunking of input documents, layout-guided slide generation, rewriting key information into spoken text, and synchronizing voice with slides to produce coherent video presentations [11][20]. - The process involves several steps: document processing, structured slide generation, synchronized subtitle creation, and voice synthesis, ultimately outputting a presentation video that combines slides and voice [13][14]. Group 2: Evaluation and Performance - The team conducted evaluations using a test set of 30 pairs of human-made "document-presentation videos" across various fields, employing a dual-path evaluation strategy that assesses content understanding and quality through visual-language models [21][22]. - PresentAgent demonstrated performance close to human levels across all evaluation metrics, including content fidelity, visual clarity, and audience comprehension, showcasing its potential in transforming static text into dynamic and accessible presentation formats [21][22]. - The results indicate that combining language models, visual layout generation, and multimodal synthesis can create an explainable and scalable automated presentation generation system [23].