Podcast Transcriber - Episode Transcripts by Podcast Name avatar

Podcast Transcriber - Episode Transcripts by Podcast Name

Pricing

from $17.50 / 1,000 audio minute transcribeds

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Podcast Transcriber - Episode Transcripts by Podcast Name

Podcast Transcriber - Episode Transcripts by Podcast Name

Type a podcast's name, or paste its Apple Podcasts link or RSS feed, and get its latest episodes as timestamped transcripts. Episodes found through Apple's podcast directory API and the podcast's own feed; Whisper transcribes inside the Actor. No API key. Pay per minute transcribed.

Pricing

from $17.50 / 1,000 audio minute transcribeds

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Kobkoon Janngam

Kobkoon Janngam

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Podcast Transcriber — episode transcripts by podcast name

Type a podcast's name and get its latest episodes as text. You can also paste an Apple Podcasts link or an RSS feed. Each episode comes back as timestamped passages of about 30 seconds, with the podcast name, the episode title and the publish date on every row. Whisper transcribes inside the Actor, so there's no API key and no speech service.

Quick start: press Start with no configuration. It finds NASA Daily by name and transcribes the first 3 minutes of its two newest episodes. Then type the podcasts you follow.

Sample output

podcastepisodeTitlestartTimetext
NASA Daily360. NASA News October 30, 20260:00Welcome to NASA Daily, where we bring you all of NASA's previous days' proceedings…
NASA Daily360. NASA News October 30, 20260:26Both carry golden records, containing music, images, sounds, and greetings in 55 languages…
NASA Daily360. NASA News October 30, 20260:52…an approximately 800 gram Martian meteorite that formed more than 4.1 billion years ago…
NASA Daily360. NASA News October 30, 20261:20Together, the arrays will increase the station's power capacity by approximately 30%…

These rows come from a run on 31 October 2026.

Every row also carries publishedAt, durationSeconds, episodeUrl, feedUrl, mediaUrl, passage/passageCount, startSeconds/endSeconds, language and status.

What you can do with it

  • Follow podcasts without listening. Search, skim or summarise this week's episodes.
  • Monitor what is said about your company or market. Run it on a schedule with Only episodes since.
  • Pull quotes with timestamps for articles, newsletters and social posts.
  • Give an AI agent a podcast. Each passage fits its context and carries the episode and the moment it came from.

Input

FieldDefaultNotes
podcastsNASA DailyNames ("The Daily"), Apple Podcasts links, or RSS feed URLs.
episodesPerPodcast1How many of the newest episodes to transcribe, up to 50.
publishedAfter—Only episodes published since this date (YYYY-MM-DD).
languageenThe spoken language, one of 20.
maxMinutesPerEpisode60Transcribe at most this many minutes from the start of each episode.
passageSeconds30The length of each passage.
countryusThe Apple Podcasts country used for name search.

It never guesses the podcast

A name search runs on Apple's podcast directory, which is fuzzy. A nonsense name still returns something. This Actor accepts a result only when every word you typed is in the podcast's title. Otherwise it skips the entry and names the closest matches, so you're never charged for transcribing the wrong show.

Every episode gets an answer

statusMeaningCharged
okTranscribed, one row per passageYes, per started minute
no-speechThe audio has no recognisable speechYes, per started minute
not-media / download-failedThe episode file could not be readNo

Only the minutes you ask for are streamed. Long episodes are not downloaded in full. The run respects your spending limit.

How it works

  1. Name or Apple link to feed. Apple's iTunes Search and Lookup APIs are documented, keyless, and built for exactly this.
  2. Feed to episodes. The RSS feed is what a podcast publishes so that apps can list its episodes.
  3. Episode to text. Whisper (base, 8-bit) runs on the Actor's own CPU, and ffmpeg decodes the audio.

Pricing

You pay per started minute of audio transcribed. Podcasts that can't be found and episodes that fail cost nothing.

Works well with

Same publisher, same output conventions, same honest-failure rules:

Disclaimer

This is an unofficial tool, not affiliated with Apple or any podcast publisher. It reads only public podcast feeds and the episode files they list, through the interfaces published for apps. Make sure your use of the transcripts respects each podcast's rights.