Popular Lesson
Create AI avatar videos using podcast scripts or audio from NotebookLM
Select and customize AI avatars, including multiple speakers for dialogs
Format videos for publishing on YouTube, Instagram, or LinkedIn
Upload transcripts in PDF form and generate full video podcasts
Understand timing, duration, and output options for HeyGen’s video tools
Identify real-world uses and limitations for avatar video podcasts
Turning automated podcasts into AI-generated avatar videos adds a new visual layer to your content, making it easier to catch attention and expand into video-first platforms. This lesson focuses on using HeyGen—a leading AI video tool—to convert NotebookLM-generated podcast scripts into videos with human-like AI presenters. You’ll learn how to set up your avatars, upload transcripts, choose video layouts, and produce short-form or multi-voice video podcasts.
Within the course, this chapter comes after you’ve already created and edited podcasts using NotebookLM and transcription tools. Now, you’ll see how to make that audio content visually engaging and ready for social platforms, marketing efforts, and even internal training.
For business owners, educators, influencers, and marketing teams, this isn’t just about automation; it’s about reaching more viewers and making content memorable. Imagine turning a research report or podcast episode into a lively AI-panel discussion for YouTube—in less time than traditional video production would take. While some manual work remains and costs are higher than pure audio, avatar-based video podcasts are quickly becoming a useful tool for modern creators.
Whether you need to produce more video content without appearing on camera or want to make AI-generated discussions feel more real, this lesson is designed for:
This chapter fits after you’ve already created your podcast content—using NotebookLM or similar tools—and is ready for those moments when you want more than just audio. Here, you’ll use HeyGen to bring those scripts to life with AI avatars, choosing between single-speaker and dual-speaker configurations. This approach is especially useful for repackaging longer podcasts into short video highlights for sharing on YouTube, LinkedIn, or Instagram Reels.
For example, a marketing manager could turn a 5-minute product podcast into a landscape-format avatar video for YouTube. An educator might convert a research summary into a video lecture, ready for learners around the world. This step is ideal before your content’s final editing or publishing, ensuring it looks modern and attention-grabbing.
Manually recording and editing video podcasts requires finding presenters, setting up lighting, multiple takes, and video editing. With HeyGen and a transcript from NotebookLM, you skip these resource-heavy steps, drastically reducing production times for short-form videos. Instead of building a video from scratch, you upload a PDF script, select avatars and settings, and let the AI handle most of the production.
This method particularly shines when you want to quickly test content ideas, produce explainer segments, or share highlights to social media—with a consistent visual style every time. While HeyGen’s cost and generation speed are still improving, its multi-avatar conversation capabilities and script-based video generation are uniquely effective for anyone routinely turning bulk text into on-brand video assets.
To make sure you understand the workflow, try this:
**Reflection:**
Compare the time, quality, and effort needed here to making a video podcast from scratch with human presenters. Did this process give you new video content options you didn’t have before?
This lesson is part of the module on turning NotebookLM research into multiple content formats. Previously, you learned to edit and refine audio and transcripts. Here, you explored avatar-driven video podcasts and what’s required to produce them with HeyGen. Next, you’ll discover how to use Gamma for turning NotebookLM materials into AI-powered visual presentations. Continue through the course to maximize the value—and reach—of everything you build with NotebookLM.