Your whole back catalogue, transcribed.
You have 80, 200 or 400 published episodes and transcripts for none of them. A 200-episode show at 45 minutes an episode is 9,000 minutes, which is $48 in minute packs. The first episode is free at any length, so you can run one of your own before you spend anything.
The number you came for
What an archive actually costs, worked out.
200 episodes is $48
Assume 45 minutes an episode: 200 episodes is 9,000 minutes, or 150 hours. Two $24 packs cover it — 10,000 minutes for $48, with 1,000 spare; one $24 pack plus two $12 packs is 9,000 exactly for the same $48. An 80-episode show is 3,600 minutes, so a single $24 pack does it for $24 and leaves 1,400 minutes over. A 400-episode show is 18,000 minutes: three $24 packs, one $12 and one $8 make 18,000 exactly, $92. Packs are one-time, there is no subscription, and credits never expire, so you can buy the first one and see how the estimate holds against your real episode lengths.
Three ways to send an archive
Paste each episode URL — any public audio or video link works, and every paste starts its own job. Or import a Google Drive folder and every file in it goes in at once, which is the shortest route if your masters already live in Drive. Or take an API key and submit programmatically from whatever already knows your episode list. There is no RSS ingestion that crawls your feed for you; a person or a script sends the episodes.
One Library, searchable
Every episode lands in the same Library, whichever way you sent it. Search runs across the set, so a phrase you half-remember from episode 63 is a query rather than an afternoon of scrubbing. Export any episode as TXT, SRT, VTT, DOCX or JSON, one at a time or as you work through the list.
Show notes fall out of it
Each episode comes back with a summary, the takeaways, key quotes with the timestamp each one sits at, and chapters. That is the part that turns an archive into something publishable: episode pages with real text on them, chapter markers you did not hand-cue, and a pull quote you can find without listening again. There is also a chat over each transcript when you need to ask the episode a question.
Why the archive, not the episode
An archive of audio vs an archive of text.
✗ 400 episodes, no transcripts
The back catalogue is audio and nothing else. Every question about it — who said that, when did we cover this, which episode has the good bit — costs someone a scrub through an hour of tape.
- Nothing in the archive is searchable
- Old episode pages carry a title and a player
- Quote-hunting means listening again
- No chapters on anything published before you started making them
- Each episode handled separately, if at all
✓ The same archive as text
Every episode has a transcript, a summary, takeaways, quotes with timestamps and chapters, and they all sit in one Library you can search across.
- One search across every episode you have published
- Body text for every episode page, from episode 1
- Quotes come with the timestamp they sit at
- Chapters per episode without hand-cueing
- 9,000 minutes bought once for $48 — credits never expire
What comes back per episode
Summary, takeaways, quotes with timestamps, chapters.
Alongside the transcript itself, every episode returns this. Timestamps are clickable, so a quote takes you to the second it was said. Transcripts are not separated by speaker — see the FAQ.
Export
One transcript. Five clean formats.
Every pack exports all five — no format is held back for a higher tier.
Plain text
De-ummed paragraphs. Ready to paste.
SRT captions
Word-level. Every video editor reads this.
WebVTT
HTML5 player + YouTube uploads.
Show notes
Formatted with chapters and pull-quotes.
Machine-readable
Per-word timing + speaker IDs.
Pricing
Honest pricing, no surprises.
Your first transcript is free at any length and your second is $0.99. After that, no subscription and no auto-renew — every tier is a one-time minute pack, and credits never expire. Buy once, use the minutes whenever you need them.
Casual pack
$8/1,000 min
16 hours of audio — $0.48 an hour. One-time — credits never expire.
- 1,000 minutes of audio
- All export formats
- Unlimited AI chat per transcript
- Executive summary & key quote
Best value
$12/2,000 min
33 hours of audio — $0.36 an hour. Credits never expire.
- 2,000 minutes of audio
- Priority queue
- All export formats
- Unlimited AI chat per transcript
Bulk pack
$24/5,000 min
83 hours of audio — $0.29 an hour. Credits never expire.
- 5,000 minutes of audio
- Priority queue
- API access for batch pipelines
- All export formats
FAQ
Back-catalogue questions, answered.
What does it cost to transcribe a 200-episode archive?
Assuming 45 minutes an episode, 200 episodes is 9,000 minutes. Two $24 packs buy 10,000 minutes for $48 and leave 1,000 spare; one $24 pack plus two $12 packs is exactly 9,000 for the same $48. Substitute your own average episode length and the three packs do the arithmetic: $8 buys 1,000 minutes, $12 buys 2,000, $24 buys 5,000.
What about an 80-episode or a 400-episode show?
At 45 minutes an episode, 80 episodes is 3,600 minutes, which one $24 pack covers on its own — $24, with 1,400 minutes spare. Nothing cheaper reaches 3,600: $12 + $8 + $8 gets you 4,000 minutes but costs $28. 400 episodes is 18,000 minutes: three $24 packs, a $12 and an $8 make 18,000 exactly for $92, where four $24 packs would be $96. Credits never expire, so spare minutes go to next season.
Can you pull every episode from my RSS feed automatically?
No. There is no feed crawler that walks your show and ingests it. You paste each episode URL, import a Google Drive folder so every file in it goes in at once, or submit the list through the API. The Drive folder import is usually the fastest route for an archive that already has its masters in one place.
How do I send 200 episodes without pasting 200 links?
Put the files in one Google Drive folder and import the folder — every file in it is submitted in a single action. If your episode list lives in a CMS or a spreadsheet, take an API key and submit them programmatically instead. Both routes land in the same Library as a paste would.
How long does the whole archive take to process?
Processing usually runs at about 2 minutes of wall clock per hour of audio, so a 45-minute episode is normally back in around a minute and a half. The 150 hours in a 200-episode archive is roughly five hours of machine time at that rate. You do not sit and watch it — episodes appear in the Library as they finish.
Does the transcript say which part is the host and which is the guest?
No. Transcripts are not separated by speaker, so a two-person interview comes back as one punctuated, timestamped body of text rather than labelled turns. If your workflow depends on knowing who said each line, this will not do that job. Everything else on this page — the text, the timestamps, the summary, quotes and chapters — applies to interview episodes exactly as it does to solo ones.
Can I test it on one episode before buying anything?
Yes, and you should. Your first transcript is free at any length, with no card and no account needed to start, and the second is $0.99 once per email address. Run your longest, messiest episode first — that is the one that tells you whether the output is worth $48 to you.
Are there limits on episode length or file size?
One file can be up to 5 GB and up to 12 hours. Anything longer is split before processing, and you do not do the splitting. Language is detected automatically across 99 languages, so a show that switches languages between episodes needs no setting changed.
Is a monthly plan cheaper than packs for a big archive?
It can be. Workspace is $19 a month and includes unlimited transcription in the web app, so an archive you work through inside one billing month may cost less that way than the $48 to $92 of packs. Packs are the one-time route, and the one that suits submitting through the API or spreading the work over a year.
Is my audio used to train AI?
No. Transcripts are never used to train AI models. Your archive sits in your Library, exportable as TXT, SRT, VTT, DOCX or JSON whenever you want it out.
Related
Related pages.
Start with one episode. The first one is free.
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