Automatic highlighter

A fully automatic AI based highlighter that helps you read quickly and focus more easily. Relevant keywords are searched and highlighted fully automatically by the language models. Features: • Choose from multiple language models: Rapid Automatic Keyword Extraction, Term Frequency (TF-IDF) or Textrank. • Simple UI: A simple and logical user interface. • Word preferences: Longer words, shorter words, absolute score, composite score. • Selectable highlight style: Color, bold or underline. • Works with static and dynamic sites. Example use cases: • Read online academic journals, articles, transcripts, reports and other documents quickly with automated keywords highlights. • ADHD and dyslexic users can use the extension to focus and read more easily. Special thanks to: • Mike Williamson (rake-modified), Kerry Rodden (tiny-tfidf), Henry Boldi and Uriel Avalos (text-rank-tag) • arxiv.org, Wikimedia Foundation, Meta Inc (promotional material) • Wang, X., Wang, Y., Liu, Y., Meiler, J., & Derr, T. (2025). Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening • Leong, O., & Traonmilin, Y. (2025). A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm. Change log: 1.2: Original release 1.3: Updated word selection eGraphene.net