paper2video

To convert a research paper PDF into a narrated video, you can use tools that extract text and figures, generate a narration script, and synthesize audio. This Skill automates that exact PDF to video conversion process using Python scripts and text-to-speech libraries.

Yes, you can customize the narration script and voice for research communication videos. The process allows script adjustments and utilizes Edge TTS or Azure TTS to synthesize the audio track for your paper content.

Automating paper to video conversion requires Python, LibreOffice, Poppler, FFmpeg, FFprobe, Playwright, Chromium, and text-to-speech engines like Edge TTS. These tools handle PDF processing, browser rendering, and audio synthesis.

Yes, generating a video from a research paper automatically adds visual cues to highlight key sections. The workflow extracts paper figures and text, then overlays these visual cues during the video production phase.

The best way to create a video presentation from an academic paper is to automate extraction of text and figures, then synthesize narration. This Skill uses paper2poster and ppt-master to structure slides before rendering the final video.

PDF to video conversion fails without FFmpeg and Poppler because Poppler extracts text and figures from the research paper, while FFmpeg and FFprobe handle audio and video merging. Both are essential dependencies for the processing pipeline.