PodSearch uses OpenAI’s Whisper speech-to-text tool toturn podcast episodes into a readable, searchable text.

OpenAI’s Whisper

Frankly, Whisper is incredible.

On theproject page at OpenAI(the company behindDall-EandChatGPT), you might check out some of the examples.

Someone recording a podcast at a table in the dining room, with a laptop computer and microphone.

Soundtrap / Unsplash

I can hardly make out what he’s saying, yet the transcript looks pretty much perfect.

This ability to pull words out of confusing, noisy contexts makes it perfect for transcribing podcasts.

Now, he has updated it, using Whisper to do the transcription.

Someone working at a laptop computer on the kitchen table and taking notes.

RGStudio / Getty Images

The Value of Podcast Transcripts

Podcasts are somewhat impenetrable.

After you’ve listened to them, they’re mostly useless.

This is a shame because they are full of all kinds of information.

You’d immediately be able to search on a huge trove of information.

It would be great for researchers, journalists, or anyone.

And accurate speech-to-text isn’t just for podcasts.

Anytime you better get spoken words into text accurately, OpenAI’s Whisper could be the answer.

How about YouTube videos?

They have automatic subtitles, but they’re usually pretty bad.

And while we’re about it, YouTube transcriptions are also a valuable search resource.

You could also combine Whisper with other AI apps.

RGStudio / Getty Images

Whisper is not an app you’re free to use yourself.

It’s a developer resource right now.

AI Isn’t All Bad

But not everyone will use OpenAI’s Whisper for good.

“This technology could be used to create detailed analytics on podcasts,” says Goodwin.

Fortunately, marketers don’t have much access to our speechyet.