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Have you ever wished you could turn your mountain of reading into a podcast without actually doing the reading?

Enter Google’s NotebookLM, your new best friend for whipping up AI-generated podcasts faster than you can say “I need coffee.” Whether you’re breaking down dense developer documentation or entertaining your friends with the latest gossip about that celebrity’s new cat, NotebookLM has you covered. From untangling tricky code reviews to turning dry tech papers into podcast gold, this tool does it all. Here’s a step-by-step guide that’ll have you podcasting like a pro!

What is NotebookLM?

Think of NotebookLM as your super-smart assistant who never gets tired, never steals your lunch, and is always available to turn your boring documents into engaging audio content. It allows you to upload various types of content—PDFs, web pages, YouTube links, and even your old high school essays (though we won’t tell anyone you still have those). This tool transforms your material into audio overviews, where two AI voices have a surprisingly human-like conversation about your chosen topic. Yes, folks, it’s like having your very own podcast hosts, minus the coffee breaks!

NotebookLM

Choose your content

Decide on what content you want to summarise. It could be anything from a company report to a book chapter. NotebookLM supports multiple file types, including PDFs, Markdown files, and even YouTube links.

Upload your content

After logging into NotebookLM with your Google ID, create a new “notebook” and upload your files. You can drag and drop documents or paste text directly into the interface. NotebookLM can handle up to 50 pieces of content per notebook, but for most projects, you’ll only need a few sources.

Generate the audio overview

Once your content is uploaded, simply click the “Generate” button. NotebookLM analyses your documents and creates an audio summary. The result? A conversation between two AI hosts that feels remarkably natural. They’ll discuss key points from your materials, even throwing in some “umms” and interruptions to make the interaction feel real.

Share or download your podcast

After generation, you’ll see a player with your freshly baked audio summary. You can download the file, share it with others, or even embed it on your website. This makes it incredibly easy to create professional-sounding podcasts for any purpose.

Limitations of NotebookLM

NotebookLM

While NotebookLM can be impressive, it has a few limitations:

  • You can’t control the gender or number of speakers.
  • The audio tends to last between 5 and 15 minutes, with no way to adjust the length.
  • English is the only supported language for now.
  • Some summaries might lack depth, focusing on certain aspects while omitting others.

Why use NotebookLM?

This tool is a potential game-changer for several reasons:

  • Content Creators can quickly turn written content into engaging podcasts without needing to record anything.
  • Students can use it to simplify dense academic materials, making studying on the go easier.
  • Business Leaders can generate summaries of reports, presentations, or articles for quick consumption.

Imagine a world where city council meetings, legal documents, or lengthy reports are automatically turned into podcasts – no studio required. NotebookLM opens new possibilities for AI-generated content that previously required significant effort and resources.

How NotebookLM can be a developer’s secret weapon

Google NotebookLM is like the AI-powered sidekick every developer secretly dreams of. From turning mountains of documentation into digestible summaries to breaking down complex code for reviews, it’s your fast-pass to efficiency.

Need to translate technical jargon into something marketing can understand? Done.

Want to turn those dense machine learning docs into a podcast for your commute? No problem.

Whether you’re leveling up your skills or just trying to get through the day without losing your sanity, NotebookLM keeps you focused on the fun part – actually coding.

Check out the audio below, it is the podcast made from this article!

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