Transcribing your podcast to boost SEO

We all want our podcast to get more listens. One way to raise awareness is via good old fashioned web search SEO. Assuming you have a website for your podcast, adding transcription text or in-depth summaries are an easy way to create searchable content for the episode page.

Transcription services

One of the simplest ways to transcribe podcasts is via transcription services where users upload audio files and a text document is returned. At the very basic level are machine based ‘audio to text’ solutions that use AI software to detect spoken work and convert to text.

A step higher are similar services where the machine based text is then cleaned up manually. At the highest end are services where there is human involvement to fully listen to an audio file and manually transcribe or fix computer generated texts. While manual offerings provide improved text quality, the turnaround is slower. Typically it can be a few hours for smaller files an up to a week for larger audio and higher human intervention.

Examples of transcription services:

AI driven machine to text

  • Google

  • AWS

  • Watson

Manually improved transcription

  • Descript (Provides software for users to easily self-edit)

  • Temi

Human based transcription

  • Rev

  • TranscribeMe

  • Fiverr (many transcription options from their marketplace)

Automated transcription through RSS and apps

To automate transcriptions, there are various solutions available to podcasters.

For those with coding skills, the cloud services behind AWS, Google and Watson offer solutions to pull audio from a podcast RSS, store it in the cloud, upload it to the transcription software and email the text. For AWS users, to reduce the first step of developing code to pull audio files, Zapier can be used to connect the cloud server API to the RSS feed. The API connection will then grab the file and place it in an AWS S3 storage folder.


Also with Zapier, podcasters can connect their podcast RSS to the Temi API. Once connected, the audio file will be automatically pulled to a user’s account, transcribed and emailed.

Another solution is via a transcription service’s recording app. An example is Rev, who provides customers the ability to record audio and smartphone based phone calls. The app is connected to podcaster’s Rev account and easily available to be pushed for transcription.

Overall, there are plenty of resources now for podcasters to take advantage of to generate texts to help market their podcast websites. Available in automated and manual form and at different price points, there is something for everyone.