NotebookLM Basics
Master the Fundamentals of NotebookLM The Basics category is dedicated to helping new users understand and navigate the essential features of NotebookLM. These guides are structured to provide straightforward explanations, practical steps, and relevant examples, making it easier to learn... Read on
7 posts
NotebookLM’s OCR conversion capabilities allow accurate recognition of text across a wide array of languages. It can detect…
The Complete Guide To Supported NotebookLM Audio Sources
This guide provides detailed information on NotebookLM’s supported audio file types for importing audio files as a source,…
NotebookLM Supported Languages for Audio Input Sources
Though Google formally supports a limited number of languages in NotebookLM, the AI tool’s potential is far broader…
Managing Source Syncing Limitations in NotebookLM
Facing sync issues with NotebookLM Sources? Discover why Summaries miss new content and how to resolve it seamlessly without losing valuable AI responses.
NotebookLM and Memory: Does It Know Who I Am?
NotebookLM revolutionises AI-assisted workflows with a Notebook-centric memory model that prioritises privacy, user control, and contextual precision. Unlike ChatGPT’s or Gemini’s persistent memory, NotebookLM isolates all interactions within individual notebooks, ensuring data security and project focus.
NotebookLM Web Importer: Review
NotebookLM Web Importer is useful if you think you need a middleman to paste a few links. Though it comes free, the cost could be your privacy and data safety. Besides privacy, the lack of clear information about the developer and data usage raises major trust concerns.
NotebookLM Sources and Best Practices
NotebookLM Sources let you import documents to create a knowledge base for AI-driven summaries, insights, queries, and audio summaries in the form of podcasts.