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PodText
Podcast transcripts you can search, summarize, and export
PodText starts with a podcast link—not a downloaded file. Paste an Apple Podcasts, Spotify, iHeart, YouTube, Xiaoyuzhou, or RSS URL, or upload audio/video, and get an accurate, timestamped transcript. AI turns it into summaries, chapters, highlights, and key quotes, while full-text search helps you find any moment fast. Export everything in SRT, VTT, TXT, or Markdown. It’s a faster path from a long episode to searchable knowledge and ready-to-publish content.
I built PodText because valuable ideas often get buried inside hour-long podcasts. Finding one quote usually means scrubbing through the timeline—and using most transcription tools means downloading the episode before you can even begin.
PodText takes a link-first approach. Paste an Apple Podcasts, Spotify, iHeart, YouTube, Xiaoyuzhou, or RSS link, and it turns the episode into a timestamped, searchable transcript. You also get AI-generated summaries, chapters, highlights, and key quotes, plus exports in SRT, VTT, TXT, and Markdown. Audio and video uploads are supported too.
The goal is simple: help creators, researchers, and curious listeners turn long-form conversations into knowledge they can search, cite, and reuse.
You can try it with 60 free transcription minutes—no credit card required.
I’d especially love your feedback on: • Which podcast platform should we support next? • Which output do you use most: transcripts, summaries, show notes, or subtitles? • What would make PodText part of your regular workflow?
Thanks for checking it out! 🙌
About PodText on Product Hunt
“Podcast transcripts you can search, summarize, and export”
PodText was submitted on Product Hunt and earned 2 upvotes and 3 comments, placing #121 on the daily leaderboard. PodText starts with a podcast link—not a downloaded file. Paste an Apple Podcasts, Spotify, iHeart, YouTube, Xiaoyuzhou, or RSS URL, or upload audio/video, and get an accurate, timestamped transcript. AI turns it into summaries, chapters, highlights, and key quotes, while full-text search helps you find any moment fast. Export everything in SRT, VTT, TXT, or Markdown. It’s a faster path from a long episode to searchable knowledge and ready-to-publish content.
On the analytics side, PodText competes within Productivity, Artificial Intelligence and Audio — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how PodText performed against the three products that launched closest to it on the same day.
Who hunted PodText?
PodText was hunted by Ruguo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of PodText including community comment highlights and product details, visit the product overview.
Ruguo
Hey Product Hunt! 👋
I’m the maker behind PodText.
I built PodText because valuable ideas often get buried inside hour-long podcasts. Finding one quote usually means scrubbing through the timeline—and using most transcription tools means downloading the episode before you can even begin.
PodText takes a link-first approach. Paste an Apple Podcasts, Spotify, iHeart, YouTube, Xiaoyuzhou, or RSS link, and it turns the episode into a timestamped, searchable transcript. You also get AI-generated summaries, chapters, highlights, and key quotes, plus exports in SRT, VTT, TXT, and Markdown. Audio and video uploads are supported too.
The goal is simple: help creators, researchers, and curious listeners turn long-form conversations into knowledge they can search, cite, and reuse.
You can try it with 60 free transcription minutes—no credit card required.
I’d especially love your feedback on:
• Which podcast platform should we support next?
• Which output do you use most: transcripts, summaries, show notes, or subtitles?
• What would make PodText part of your regular workflow?
Thanks for checking it out! 🙌