As we’ve said before, practically everyone is throwing their hat into the podcasting realm. And, there’s a podcast for virtually anything you can imagine (from cool music podcasts, to one all about The West Wing, to one about conversations with spirits – and, with this, I’ve let you know a lot about myself in a little amount of space).
As such, more tools are being developed to help podcasters with their project. Recently, we’ve seen many tools that help market a podcast. Now, with the use of our good friend AI, podcasters can transcribe their recordings in minutes (around 12 to be exact).
Podcast Transcribe allows a user to upload the recording of their podcast (in MP3, WAV, FLAC, or MP4) and then AI works its magic to transcribe everything (for just $5 per podcast). Their purpose with this tool is to make podcasts more accessible to everyone – including those who are hard of hearing. Additionally, transcriptions can be useful to students as quoted text is helpful with research. Another element this can be useful with is video podcasts and the ability to create more accurate subtitles to include before uploading.
The website boasts the transcriptions of over 2,700 podcasts, over 1,365 hours of audio, and 213 Beatles songs (because, no matter the capability of a tool, The Beatles are always relevant). They then break the process down a bit further and explain the following steps to successfully transcribe a podcast.
First, download the audio file of your podcast. Second, make sure the file is under 100MB because the platform cannot support anything more at the current time. Third, an advanced mode is available if transcribing podcasts in a language other than English. Fourth, enter your email address to receive the transcribed file. Fifth, find something to do for 12 minutes while the tool transcribes the file.
The number of podcasts you can transcribe is infinite, and is priced per podcast rather than a subscription fee like most other tools. The price is certainly the driving force for this tool, as AI is not always one hundred percent accurate, and a human transcription tool like Rev is likely to be more on point.
Are you willing to try AI for your transcription needs?