Podcast transcription built by people who actually listen to podcasts
Podtyper is a podcast transcription tool. Paste a public YouTube, Spotify, or Apple Podcasts link and get a full transcript with speaker labels, timestamps, and an AI-generated summary in under three minutes.
We built Podtyper because we listen to a lot of podcasts and kept running into the same problem: the part you actually want is buried somewhere in the middle of a 90-minute episode. Finding it takes forever.
What is podcast transcription?
Podcast transcription — Podcast transcription is the process of converting spoken audio from a podcast episode into written text. A transcript lets you search, quote, and reference what was said without listening to the full episode.
Speaker diarization — Speaker diarization is the process of splitting audio into segments and labeling each one by who spoke. Podtyper identifies speakers automatically, so you get a transcript with names next to each line instead of a wall of unattributed text.
SRT and VTT — SRT (SubRip Text) and VTT (Web Video Text Tracks) are subtitle formats. SRT is the standard for video players. VTT (also called WebVTT) is the W3C standard used by browsers and HTML5 video. Podtyper exports transcripts in both formats for closed captions and subtitles.
How AI podcast transcription works
When you submit a podcast link, Podtyper downloads the audio from the source platform and sends it to a speech recognition model (Deepgram Nova-3). The model converts the audio to text, identifies different speakers through a process called diarization, and adds timestamps at the utterance level.
Once the raw transcript is ready, a large language model runs a second pass to generate a summary and pull out key topics and quotes. The result is a transcript you can search, skim, quote, and export.
According to Edison Research's "The Infinite Dial" report, over 183 million Americans listened to podcasts in 2024. That is a lot of audio that currently exists only in a format you can't search or skim. Transcription fixes that.
Why we built Podtyper
We have been listening to podcasts for years. The conversations are great, but the useful part is almost never at the beginning. Skimming audio is slow. Quoting from it is clunky. And searching across episodes without a transcript? Basically impossible.
During COVID, we also made podcasts. That gave us the creator’s side of the same problem: show notes take hours, repurposing content is tedious, and the transcripts that do exist are usually auto-generated messes without speaker labels.
We just wanted to paste a podcast link and get a real transcript. Speaker labels, timestamps, AI summary, export to whatever format. A few minutes, not an hour.
What Podtyper is for
Podtyper saves time for anyone who works with podcast audio. Listeners can skim episodes without sitting through the whole thing. Creators can pull show notes and quotes from their own episodes. Researchers can cite and search spoken sources without scrubbing through audio. Teams can turn podcast insights into text they can actually share and search.
Every transcript comes with speaker labels, timestamps, an AI summary, and key quotes. Export to PDF, TXT, SRT, or VTT.
Stop scrubbing through long episodes for the one part that matters. That is the whole point.
What makes Podtyper different
Fast transcription
A one-hour episode takes under three minutes. Speaker labels and timestamps are included.
AI summaries & takeaways
Every transcript gets a summary, key topics, and the best quotes pulled out automatically.
YouTube, Spotify & Apple
Paste a public link. No file uploads, no extra steps.
Private by default
We delete audio after processing and store transcripts encrypted. Your data is never sold or shared.
Who uses Podtyper
Podcast listeners — who want to skim instead of sitting through the full episode
Content creators — who need show notes and quotes from their own episodes
Researchers & journalists — who cite and search through spoken sources
Teams & businesses — who turn podcast insights into text their team can actually use
Frequently asked questions
How does podcast transcription work on Podtyper?
You paste a public link from YouTube, Spotify, or Apple Podcasts. Podtyper downloads the audio, runs it through an AI speech recognition model, and returns a transcript with speaker labels, timestamps, and an AI-generated summary. Most episodes finish in under three minutes.
Is Podtyper free to use?
Yes. Your first transcript is free, no credit card needed. After that, plans start at $6.99/month for 500 minutes. See the pricing page for details on every tier.
How accurate is the transcription?
Podtyper uses Deepgram's Nova-3 speech recognition model, which achieves over 90% word-level accuracy on clean audio. According to Deepgram's published benchmarks (deepgram.com/nova-3), Nova-3 outperforms previous-generation models on real-world podcast audio. You also get speaker labels and timestamps generated automatically with the transcript.
Can I export my transcript?
Yes. Every transcript exports to PDF (for documents), TXT (for plain text), SRT (for video subtitles), or VTT (for web closed captions, per the W3C WebVTT specification).
Who is Podtyper for?
Anyone who regularly works with podcast audio. Listeners who want to skim, creators who need show notes, researchers who cite spoken sources, and teams who turn episodes into shareable text.
Is podcast transcription legal?
Yes. Transcribing a podcast for personal use, research, or commentary falls under fair use in most jurisdictions. Podtyper only processes publicly available episodes and deletes the audio file after transcription is complete.
Try Podtyper free
Paste a podcast link and get a transcript with speaker labels, timestamps, and an AI summary in minutes. Your first transcript is free, no credit card needed.