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Transform any paper into

short-form videos.

Harnessing generative AI models, our system automatically transforms a PDF paper into engaging video scripts and visual concepts.
You can further customize these videos by providing your own style and audience context.

Upload a PDF paper

Upload an academic paper to the system.

Select key sections for video content

Our system automatically segments the paper by headings. From this list, select the paragraph(s), figures, or sections you want to summarize into video content. The system will then generate a draft video script, key visual ideas, and suggested narration.

Generate video script & visual suggestions

Provide your video style & audience (optional)

If you want to tailor the video to a specific platform (e.g., TikTok, YouTube Shorts) or audience (e.g., general public, students, fellow researchers), simply describe your desired style, tone, and target audience in the text field. This will result in a customized video script and visual recommendations.

Generate customized short-form videos

FAQ

  • Academic papers, while rich in knowledge, can be dense and time-consuming to digest for a broad audience. Our system aims to bridge this gap by automatically transforming complex research papers into engaging, digestible short-form videos, making academic insights more accessible and shareable. It's unrealistic to expect researchers to do this themselves due to time constraints, so we built this interface to scale up the creation of video summaries using generative AI.

  • The system generates video scripts, key visual suggestions, and audio narration based on the paper's content. The goal is to produce concise, attention-grabbing summaries suitable for platforms like TikTok, Reels, or YouTube Shorts, highlighting core findings and implications.

  • While we've primarily tested and demonstrated efficacy with HCI papers, there are no strict requirements regarding the paper topic or discipline. Our system can process various research domains to extract key information for video summarization.

  • The generated video content, scripts, and any provided feedback will be saved in our system and may be used for future analysis, research, and improving the video generation model.

  • Yes! The analysis of our system will be published, and the codebase can be found here.

This work is supported by an from Google