What it costs to transcribe a podcast archive

Human transcription runs roughly £1–£2 per audio minute, so £60–£120 an hour — which for a sixty-hour archive is £3,600–£7,200. Automated is a small fraction of that. The more useful answer is that you should not transcribe most of an archive at all: work out what the book is first, then transcribe what serves it.

What it costs, by route

Prices dated 9 September 2026. The bottom row is the one worth reading twice.

RoutePer audio hour60-hour archiveWhen it's right
Human transcription£60–£120£3,600–£7,200Poor audio, heavy accents, overlapping speakers, specialist terms
Automated, then human check£20–£45£1,200–£2,700Decent audio where accuracy matters and budget is limited
Automated onlyA few poundsLow hundredsClear single-speaker audio; expect proper-noun errors
Selective — analyse first, transcribe 15%As above, on 9 hours£540–£1,080 humanAlmost always. This is the recommendation.
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Why the last row is the right answer

You will use perhaps 10–15% of an archive in a book. Transcribing the other 85% produces a document nobody reads, at full price.

So the sequence that saves the money: analyse the whole archive thematically, choose the through-line, then transcribe only what serves it.

On a sixty-hour archive that is the difference between £3,600–£7,200 and roughly £540–£1,080 for human work on the material you actually need — with the hardest recordings sent to a person and the rest done automatically.

Where automated transcription actually fails

It is now excellent on clear single-speaker audio in a familiar accent, and noticeably worse on four things.

Proper nouns. The biggest practical problem for a book: names, places, companies, technical terms come back wrong, consistently, and propagate through 200 pages if not caught.

Overlapping speakers. Interview shows with genuine conversation suffer most.

Strong regional accents, in both directions.

Poor rooms. Echo and background noise degrade accuracy sharply.

The cheapest single improvement is a name list prepared before you start — every person, place and recurring term. It improves a transcript more than any other intervention at any price.

What you are paying a human for

Four to six hours of careful work per hour of audio on decent recordings, and considerably more on difficult ones. That is the whole explanation of the price.

What you get: accurate proper nouns, reliable speaker attribution, sensible handling of crosstalk, and judgement about what a mumbled phrase actually was.

For the recordings your book genuinely depends on — the interview with the person who has since died, the episode everything hinges on — that is worth paying for.

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Two things change the arithmetic. Themes from Bulk Audio reads the whole archive before transcription and tells you what the material is about, so you transcribe a fraction rather than all of it — which is where the real saving is.

And Transcription produces clean verbatim with speaker labels and timestamps, checked against your Book Dictionary, so the names and recurring terms you have listed come back spelled correctly rather than differently on every page. It runs on credits, and every account starts with 1,000 that never expire.

What still favours a human: heavy accents, several people talking over each other, poor rooms, and legal or medical terminology. Budget £60–£120 an audio hour for those specific files and use the tools for the rest. That hybrid is what most people should do, and we would rather say so than sell you the whole archive.

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Questions people ask

How much does it cost to transcribe a podcast?
Human transcription is roughly £1–£2 per audio minute, so £60–£120 an hour. Automated is a small fraction, with accuracy depending heavily on your audio.
Should I transcribe my whole archive?
Almost never. Analyse thematically first and transcribe the 10–15% that serves the book. It is the single biggest saving available here.
Is automated transcription accurate enough for a book?
For clear audio, close — with the exception of proper nouns, which need a prepared name list and a check. For difficult audio, no.
What's the cheapest reliable approach?
Analyse first, transcribe selectively, use automated transcription for clear recordings and a human for the difficult ones that matter.
Do I need timestamps?
Yes. When you are assembling a book from sixty hours, the timestamp is how you go back and check what was actually said — and you will need to more often than you expect.