hf-papers-to-video

To convert Hugging Face papers into narrated videos, use an automated pipeline that extracts abstracts, generates scripts via Python, synthesizes TTS narration, and renders scenes with Remotion.

Remotion works with Python scripts for automated video generation by using Python to extract paper content and configure JSON scenes, which Remotion then renders into synchronized visual outputs.

You can generate TTS narration for video summaries by configuring Volcano TTS credentials with your App ID, Access Token, and Secret Key, then running the full pipeline to synthesize audio.

The best way to automate scene configuration for paper-to-video pipelines is using JSON-based scene configuration to align extracted paper visuals, captions, and TTS audio before final rendering.

You need to install specific dependencies including requests, bs4, PyMuPDF, numpy, and Pillow for Python extraction, plus Node.js packages for Remotion rendering and the full pipeline execution.

You can use this automated pipeline to create educational content from scientific papers by extracting key insights, generating concise scripts, and producing engaging videos with synchronized narration and captions.