How AI Podcasts Sound Convincingly Real
We're biased, but we think a normal person can no longer tell the difference between audio that's been traditionally recorded or generated by AI.
Today's artificial speech generation has gotten so good, we can produce podcasts that sound strikingly real, without the need for recording studios, microphones, or voice actors.
By incorporating human-like speech patterns—such as natural rhythm, mispronunciations, and interjections—tools like Jellypod and NotebookLM can create engaging, realistic conversations perfect for generating an ai podcast.
How do AI podcasts sound?
A lot of people have a knee-jerk reaction that a podcast produced with AI must sound unnatural or is just plain boring. But just because the content you're listening to wasn't actually recorded in a studio doesn't mean it can't be high quality.
I've listened to dozens of podcasts that were recorded with a poor microphone in a noisy environment that sound way worse than what Jellypod or NotebookLM can create.
The AI voices that our parents are used to (i.e. customer support centers) are days of the past. These AI-created podcasts hosts can have rich backstories, speak multiple languages and accents, and deliver content in a truly engaging way.
If you want to listen to a few podcasts, check out Jellypod's Explore page. These shows were created by tens of thousands of users on Jellypod, all produced entirely with AI.
Real-World Example: Google NotebookLM’s AI Audio Generator
One of the leading platforms, Google NotebookLM, can take any article, blog post, or web page and produce a realistic conversation between two AI-generated voices. The result sounds so lifelike that listeners often mistake it for a real podcast.
These conversations are 7-10 minute long audio clips that can be downloaded and shared, all for free. The hosts are pretty good at riffing on topics, making jokes, and exploring content beyond the original text. However, they're unable to be customized, and Notebook LM is more of a tool for personal consumption than large-scale distribution and content creation.
Using Custom Voices and Accents
A key feature of modern AI audio generators like Jellypod is the ability to clone voices or customize accents.
If you're listening to a podcast and the host shares your same accent, you'll instantly feel more connected due to that regional connection. And as a creator or business, that customizability and brand consistency is critical to build trust with your audience and help it grow organically.
Pro Tip: If your platform supports it, try voice cloning. With just a short audio sample, you can create a digital clone of your voice that can be used to create your podcast and audio content.
Post-Processing and Editing
Post-processing is often the most time-consuming part of creating a podcast Editing out "ums," removing background noise, and normalization multi-speaker volume levels all take a lot of time, effort, and skill to get right.
But when you're creating an AI podcast, it's all handled for you! Since you're creating the content, there's nothing to edit or cut out! By minimizing the amount of editing necessary to get a high-quality episode out the door, you can spend more time researching and creating great content.
This speed of creation allows you to tests out more voices, accents, and languages, seeing what works and what doesn't, iterating until your podcast sounds absolutely perfect.
At the end of the day, independent of whether your content was recorded in a studio, or created using a tool like Jellypod, all that matters is that it's engaging, informative, and is of high quality.
And as AI tools continue to improve, innovative businesses and creators like you will be ahead of the game in embracing a modern form of content creation while others struggle to keep up.
If you're ready to try it, sign up for Jellypod today and produce your first AI-generated podcast for free.
