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New here? Get 3 free transcriptionsClaim

Built for the weekly episode rhythm.

Podcast Transcription Service

Every episode as searchable, publishable text — host and guests labeled, show notes and captions one prompt away.

$2 per hour
Auto-deleted files
TXT, SRT, VTT, DOC, PDF

→Exports to TXT · SRT · VTT · DOCX · PDF

Sample output

See it in action

Here's what you get — speaker labels, timestamps, and multiple download formats. Try it with your own file.

txtPlain text, for anything
srtSubtitles, ready for video
vttWeb captions, ready for HTML5
docxWord, for editing and sharing
pdfPrint-ready, page-numbered

episode_47.mp3

1h 12m 34s · Mar 24, 2026

Completed
Speaker 10:00

Welcome back to the show. Today we're talking about how creators are turning audio archives into written content — and it's bigger than most people realize.

Speaker 20:12

I had three years of podcast episodes sitting there doing nothing. Once I had transcripts, I had an entire content library — blog posts, newsletters, social clips.

Speaker 10:24

How long does it take to go from MP3 to something you can actually publish?

Speaker 20:31

Maybe fifteen minutes of light editing per episode. The transcript is ninety percent of the work — you're just tidying up, not starting from scratch.

2 speakers
View a full sample →

A podcast episode without a transcript is invisible to search, inaccessible to deaf and hard-of-hearing listeners, and locked away from repurposing. Google indexes text; roughly 15% of people have hearing loss; and a 45-minute conversation contains a week of social content — all unlocked by the same artifact. That is why transcripts moved from nice-to-have to standard practice for shows that take growth seriously.

The episode workflow is deliberately boring: export your published audio, upload, and get back punctuated, speaker-labeled text in two to three minutes. Host and each guest are separated automatically — the difference between a readable interview transcript and a wall of unattributed text. Publish it on the episode page, hand the same file to the show-notes and social prompts, and export SRT if the episode ships as video.

Pricing matches podcast economics: $2 per audio hour, billed per file. A weekly 45-minute show costs about $6 a month — and during a hiatus, nothing. Back-catalog projects are where flat pricing shines: a hundred-episode archive (~75 hours) becomes fully searchable, SEO-indexed text for roughly $150, one upload session.

Host and guests separated

Automatic speaker labels keep the conversation readable and quotes attributable — swap labels for names with one find-and-replace.

Episode page to social suite

The transcript feeds show notes, pull-quotes, threads, and newsletter sections via free prompts in our AI library.

Hiatus-proof pricing

$2 per episode hour, no subscription. Seasonal shows and irregular schedules pay only when episodes exist.

Podcast Transcription Service: frequently asked questions

How long does a podcast episode take to transcribe?

About 2–3 minutes per hour of audio — a typical episode is ready before you finish writing the episode description.

Will it tell my voice apart from my guest’s?

Yes — speaker diarization labels each voice throughout. Two-person interview shows label near-perfectly; even panel episodes separate cleanly with decent mics.

Should I publish the full transcript on my episode page?

Yes, below the player and show notes. The full text is what ranks for long-tail searches and what makes the episode accessible — a summary alone does neither.

Can I get captions for the video version?

Export SRT from the same transcription and upload it to YouTube — reviewed captions beat auto-captions for accuracy and accessibility compliance.

Related transcription resources

Convert a podcast episode to text

See how one transcript becomes an episode page, show notes, pull-quotes, and captions.

Compare transcription service models

Evaluate pay-per-use, subscriptions, meeting bots, and human transcription for your volume.

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$2 per hour. No subscription. Files are auto-deleted after processing.

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