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🎁New here? Get 3 free transcriptionsClaim
Every episode deserves a transcript.

Convert Your Podcast to Text

Turn each episode into a speaker-labeled transcript that becomes show notes, an episode page, pull-quotes, and captions.

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

episode_47.mp3

42m 18s · 2 speakers · Apr 30, 2026

Completed
TextSubtitlesWordPDF
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.

View a full sample transcript

An episode that exists only as audio is invisible to almost everyone who hasn’t already pressed play. Search engines cannot read it, deaf and hard-of-hearing listeners cannot access it, and the person deciding whether to commit fifty minutes has nothing to skim. A transcript fixes all three at once — which is why transcripts have quietly become standard practice for shows that take growth seriously.

The workflow fits between export and publish: upload the finished episode — MP3, WAV, or M4A, whatever your editor produces — and get back punctuated text with the host and each guest labeled separately, timestamps throughout. From that one document come the show notes, the episode page for your site, pull-quotes for social, a newsletter section, and an SRT caption file if the episode also goes out as video.

For an independent show, the math is simple: a weekly 45-minute episode costs about $2 to transcribe, per episode, with no plan. The compounding payoff is the episode pages — each one ranks for the specific things you and your guests actually said, which is search traffic the audio alone could never earn.

Host and guests labeled

Every voice is separated and timestamped, so quotes attribute correctly and the conversation stays readable on the page.

One transcript, five assets

Show notes, an episode page, social pull-quotes, a newsletter section, and SRT captions for the video cut — all from a single upload.

Fits an indie publishing budget

About $2 per weekly episode, billed per file. No subscription tier between you and making transcripts a standard part of every release.

Convert Your Podcast to Text: frequently asked questions

Can I get captions for the video version of my podcast?

Yes. Export the transcript as SRT and you have a caption file for YouTube or any video platform, timed to the episode.

Will the transcript distinguish the host from guests?

Yes. Each speaker is separated and labeled with timestamps. Swap the generic labels for names with one find-and-replace and the transcript is ready to publish.

Should I upload the MP3 or the WAV master?

Either works and costs the same — pricing is by duration, not file size. If you still have the WAV or FLAC master handy, the uncompressed audio gives the model marginally better input; otherwise the published MP3 is fine.

Do transcripts actually help a podcast’s SEO?

Yes. A transcript published on an episode page gives search engines the full text of the conversation, so the page can rank for the specific topics, names, and phrases discussed — queries the audio alone can never appear for.

How much editing does a transcript need before publishing?

Light cleanup: swap speaker labels for names, trim filler words if you want a tighter read, and add headings. The punctuation and paragraphs are already done — most shows spend 10–15 minutes per episode.

Convert an episode to text

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

Start transcribingSee pricing