I tested NotebookLM and found it very useful for academic, technical, and general research (www.techradar.com)

TechRadar’s hands‑on review finds Google’s NotebookLM a practical, time‑saving AI research companion for academic, technical and general research. Built on Google’s Gemini LLM and available as a freemium mobile app (iOS/Android), it ingests PDFs, Word files, presentations and web pages to generate summaries, answer document‑specific queries, and produce audio/video overviews. The free tier supports 100 notebooks (up to 50 sources each), 50 daily chat queries and three daily audio/video generations; the NotebookLM Pro capabilities are unlocked via Google AI Pro ($20/month) and raise limits (500 notebooks, 500 daily queries, 20 daily audio/video generations) plus sharing controls and collaborator metrics. Key technical details and implications: NotebookLM integrates Gemini for on‑document question answering, multimodal overviews (audio conversations and narrated videos that pull images/quotes/figures), and simple notebook sharing (viewer/editor roles; Pro enables chat‑only sharing and usage metrics for larger groups). TechRadar praises the UI and versatility but flags recurring issues—occasional factual errors, omitted key details in audio/video outputs, limited formatting and occasional import hiccups—so manual verification remains essential. Overall, NotebookLM speeds literature review and data extraction workflows, but its utility hinges on continued Gemini improvements amid competition from tools like Logically and ChatGPT‑powered rivals.