An AI-powered audio-to-text transcription service. Features include automatic speaker detection, an easy-to-use editing interface, multiple download formats (plain text, SRT, VTT, JSON, HTML), and a unique web page for each episode with shareable timestamps.
Hey friends! It's been a few years since the Transistor team did a Product Hunt launch. We're really excited to launch AI podcast transcriptions. 🎉
A few key features:
- Audio-to-text transcription, powered by Deepgram AI.
- Automatic speaker detection (diarization).
- Users can view/download their transcripts as plain text, SRT, VTT, JSON, and HTML files.
- My favorite feature: we create a web page version of the transcript for each episode, which includes shareable timestamps. Example.
- Simple transcript editing interface to make quick corrections.
As a user of Transistor.fm for hosting my Podcasts, I can say this is an excellent addition to the service. I tried it out and with my mixed British/Texan accent it still nailed transcribing every thing I said along with my guest. It also accurately identified each speaker throughout the podcast.
Well done! The price is also very reasonable.
Congratulations on the launch! I used several tools for YouTube transcripts, always trying to find a tool for Podcasts! Thanks team
Hey Justin, Jon and the rest of the team. Good initiative. This type of product could be useful for me as, using AI, you can take it a step further and generate a list of the main topic covered during the podcast as well as the key takeaways.
Wow, this AI Podcast Transcription tool sounds like a game-changer for podcasters! I'm curious, how accurate is the speaker detection feature in differentiating between multiple speakers? Also, have you considered integrating with podcast hosting platforms for seamless transcript uploads? Looking forward to seeing how this tool evolves!
Congrats on the launch 🥳
Looks really powerful 💪 Beneficial to both the hosts and the listeners 😄
Will be even better when Deepgram adds more languages (Icelandic 🤞) 🚀
Congrats on the launch! My favouirite transcript editor so far and the accuracy is amazing. I also love how the transcript syncs with the podcast player on the Transistor site. Nice work all around 🎉
As a happy paid customer, I appreciate y’all doi g incredible work for podcasters 💯
This feature is just one example of that 🙏🏼
Congrats on shipping the new transcription feature! The implementation looks so clean and easy to use. Neat how speaker attribution can be detected on subsequent transcriptions too.
Justin and the rest of the team,
This looks great and I will come in handy for me because I was thinking of starting to put a transcript in my show notes the other day
Love that you've added this, Justin! Now I don't have to use a separate tool for transcription!
