3 items
Turn web content into learning-ready notebooks in NotebookLM, designed for audio-first learning. PowerPack for NotebookLM is an audio-first learning companion designed to reduce the friction between collecting information and actually learning from it. NotebookLM is powerful for deep reading, audio overviews, and structured understanding — but getting content into a clean, learnable state often takes more effort than it should. PowerPack focuses on making that process smoother, especially for long-form and ongoing learning. What PowerPack helps you do Turn web-based content into learning-ready notebooks optimized for audio listening Prepare pages, videos, playlists, and feeds to work better with NotebookLM’s audio and study features Reduce manual copy-paste and context switching when building notebooks Support continuous, audio-first learning workflows rather than one-off imports Designed for learners who Use NotebookLM regularly for reading, listening, and understanding complex topics Learn through audio, repetition, and review Work with long-form material such as articles, documentation, videos, and research sources Want a smoother path from “found content” to “something I can actually study” Philosophy PowerPack is not just about importing content. It is built around the idea that learning starts after content is collected — when information becomes structured, accessible, and easy to revisit through audio. If you use NotebookLM as part of a long-term learning system, PowerPack is designed to fit naturally into that workflow.
Jan 15, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.