PODCAST TRANSCRIPTION
Podcast Transcription — Local AI, $0 Per Minute, No Upload
Your episodes are hours of the best content you will ever record — and search engines cannot hear audio. Transcribe every episode with a local Whisper model on your Windows PC: no upload, no per-minute metering, no AI credits. Free tier included, Pro notes $10/mo flat.
What podcast transcription actually costs
Transcription pricing is sold per minute or in monthly hour libraries. A weekly one-hour show records ~50 hours a year — the meter never sleeps.
| Service | Model | 1-hr episode | ~50 hrs/yr |
|---|---|---|---|
| Rev (human) | $1.99/min + add-ons | $119.40 | ~$5,970 |
| Rev (AI) | $0.25/min | $15.00 | ~$750 |
| Castmagic (hour library) | ~$23–$29/mo entry tier | included | 50 hrs/yr over most libraries — overage buys |
| Descript Hobbyist | 1 hr/mo free, 600 min/mo paid | overage risk | tight fit at paid tier |
| TurboScribe | $10/mo unlimited (cloud) | included | $120/yr — but every episode uploads to their cloud |
| VocalFuse (local) | free tier · Pro $10/mo flat | $0.00 | $0 — unlimited, offline |
2026 pricing snapshot (rev.com, castmagic.io, descript.com, turboscribe.ai pricing pages, checked September 2026). A 50-hour year on Rev AI ≈ $750 — VocalFuse Pro is $120/yr with no meter, and the audio never uploads.
Why podcasters transcribe locally
Your master tape never leaves the machine
Raw episode audio uploads are how cloud tools work — and every upload is a copy you do not control. Local Whisper runs on your GPU/CPU: nothing is sent to a speech API, there is no file-size cap, and no vendor can hold, train on, or lose your master.
$0 per minute, forever
No per-minute billing and no monthly hour library to budget. Batch a whole back catalog or a 4-hour interview comp — the local model does not meter. Free tier included; Pro notes stay flat at $10/mo.
Transcripts that win search
Google cannot listen. The transcript is the only crawlable text of your episode — 5,000+ indexable words targeting long-tail queries your guests actually said on air, quotable by AI Overviews and answer engines.
One transcript, whole content engine
Show notes, episode descriptions, audiogram picks, blog posts, newsletters — all downstream of the transcript. VocalFuse Pro drafts structured notes and summaries from the transcript opt-in; export SRT/VTT/TXT for everything else.
Episode to transcript in three steps
- Export the episode. WAV or MP3 straight from your editor — no special prep, no upload step.
- Drop it into VocalFuse. The local Whisper model transcribes on your Windows PC with speaker turns; audio never leaves the machine.
- Publish the text. Verify on screen, export SRT/VTT/TXT, post the cleaned transcript on your episode page, and repurpose quotes into show notes, clips, and newsletters.
Back catalog? Batch a whole season overnight — local transcription has no meter and no upload queue.
Publishing the transcript so Google can rank the episode
A transcript sitting on your drive does nothing for search. Podcast SEO works because the engine ranks the episode's web page, not the audio — and it can only read what you write down. Four layers turn one local transcript into a page that ranks:
| Layer | What it does for search | Where it goes |
|---|---|---|
| Summary block | 150–200 words carrying the primary keyword — doubles as the meta description and the snippet Google lifts | Top of the episode page |
| Chapter timestamps | Scannable jump links; the same markers feed show notes and clip picking | Below the summary |
| Cleaned transcript | 5,000+ indexable words — the only text a crawler can match queries against | Below the notes, or its own /transcript URL |
| PodcastEpisode schema | Labels the page an episode (title, duration, audio file, parent series) so machines do not guess | JSON-LD in the page head |
Full transcript vs show notes: not either/or
Show notes are the scannable, keyword-led layer (300–800 words); the transcript is the substance layer. Publish notes first, transcript below — or on a separate URL linked from the episode page. Never a raw wall of text: clean speaker turns, short paragraphs, subheads at topic shifts. One artifact, two audiences — accessibility readers and crawlers read the same clean text, and the W3C treats the transcript as an accessibility requirement anyway.
One URL per episode, canonical to itself
Episodes get syndicated across platforms, so each episode page needs its own stable URL, its own title and description, and a self-referencing canonical — that consolidates the ranking signal on your page instead of scattering it across copies you do not control. Skip the canonical and a third-party app can outrank your own site for your own episode.
Copy-paste PodcastEpisode JSON-LD
Swap in your episode's values; associatedMedia.contentUrl
points at the audio file and partOfSeries at your show:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "PodcastEpisode",
"url": "https://yourshow.com/episodes/042",
"name": "Episode 42: Your Keyword-Led Title",
"datePublished": "2026-09-13",
"description": "Short summary of what the episode covers.",
"associatedMedia": {
"@type": "MediaObject",
"contentUrl": "https://cdn.yourshow.com/audio/ep042.mp3",
"encodingFormat": "audio/mpeg",
"duration": "PT42M"
},
"partOfSeries": {
"@type": "PodcastSeries",
"name": "Your Show Name",
"url": "https://yourshow.com/"
}
}
</script>Workflow tie-in: transcribe locally in VocalFuse (free tier, $0/min), clean the speaker turns, cut chapters from the SRT timestamps, paste the schema — one local transcript produces every layer above. The notes layer is drafted step-by-step in our podcast show notes generator guide.
Sources: schema.org PodcastEpisode/PodcastSeries type definitions; podspun.com podcast SEO guide (crawler-reads-text framing, canonical rule); thespearpoint.com podcast-website SEO checklist; mavenmadecopy.com transcript-vs-show-notes breakdown (2026).
Related reading
Podcast show notes generator
Draft the summary, chapters, and quotes from your transcript — free tier vs Castmagic $29+/mo.
Show notes workflowZoom transcription
Every way to get a Zoom transcript in 2026 — and why local beats the paid-plan toggle.
Zoom transcript methodsTranscription for journalists
The subpoena risk of cloud notetakers and local Whisper source protection.
Read the guideDescript podcast transcription
What Descript's 2026 plans include for podcast transcription — and where the meter bites.
Descript plans decodedPodcast transcription software compared
Eleven 2026 tools by verified price, speaker labels, and where your audio uploads — Descript, Otter, Castmagic, Sonix, Rev, TurboScribe vs local.
The 2026 comparisonPodcast RSS transcript tag
The podcast:transcript tag, VTT vs SRT, and the Apple Podcasts opt-in — link your transcripts from the feed so apps can read them.
RSS transcript guidePodcast episode schema
Copy-paste PodcastEpisode JSON-LD with transcript, timeRequired, and AudioObject — the page layer that ranks in Google.
Episode schema templateInterview transcription
Software shortlist plus the researcher transcript format — Rev, Sonix, Otter caps vs local.
Interview transcription guideAI deposition transcription
Certified vs working-copy economics for law firms — same $0/minute local math.
Deposition cost breakdownOtter AI alternative
Bot-free, local alternative to the default meeting-notetaker.
Compare with OtterMeeting minutes template
Free Word/Docs template with a filled example — draft minutes from any recording.
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Podcast transcription — FAQ
What is the best free podcast transcription in 2026?
One that runs on your own machine and never meters your audio. VocalFuse transcribes with a local Whisper model on your Windows PC: no upload, no account required for transcription, and no per-minute pricing. A free tier covers casual use and Pro is $10/mo flat — compare that with Rev's $0.25/min AI ($15 for an hour episode) or $1.99/min human transcripts, and subscription tools that gate transcription behind monthly hour caps and AI credits.
How much does podcast transcription cost per minute?
Human services run $1.99/minute at Rev ($119.40 for a one-hour episode) with add-ons like timestamps ($0.30/min) and verbatim ($0.50/min). AI transcription runs about $0.25/minute ($15/hour), and subscription tools bundle transcription into hour libraries — Castmagic entry tiers run ~$23–$29/month in 2026, with flat-rate cloud unlimited at TurboScribe ($10/mo). Local transcription costs $0 per minute because the model runs on your own GPU/CPU.
How do I transcribe a podcast episode for free without uploading it?
Export your episode as WAV or MP3, drop it into VocalFuse on your Windows PC, and the local Whisper model transcribes it on-device — the audio never leaves the machine, so there is no upload wait, no file-size cap, and no vendor holding your master tape. Verify the transcript on screen, export SRT/VTT/TXT, and you are done. Works for back-catalog marathons too: batch a whole season overnight with no metered cost.
Can a podcast transcript help SEO and Google indexing?
Yes — audio itself is invisible to search engines, so the transcript is the only crawlable text version of your episode. A transcript gives every episode 5,000+ indexable words, lets you target long-tail queries guests actually said on air, and wins AI Overviews / answer engines that quote from text. Post a cleaned version on your episode page and interlink it with your show notes — Google indexes transcript text far better than an audio player.
Should I publish the full episode transcript or just show notes?
Both, in layers. Show notes are the scannable 300–800-word layer: keyword-led summary, chapters, quotes, links. The transcript is the substance layer — 5,000+ words only a crawler can match queries against. Publish notes first and the cleaned transcript below it (or on a linked /transcript URL), never as a raw wall of text. Add PodcastEpisode JSON-LD so search engines know the page is an episode, and give each episode its own URL with a self-referencing canonical so syndicated copies do not split your ranking signal.
Is VocalFuse a Descript or Castmagic alternative for podcasts?
It covers the transcription core both are used for: local Whisper transcription with speaker turns on Windows, no upload, no hour-cap subscription and no AI credits. What it deliberately does not do is edit audio by text or generate clips in-app — export the transcript to Descript or your editor of choice. If you mainly need accurate, unlimited, private transcripts at $0/minute with flat $10/mo Pro notes, it is the cheaper, private core; use specialized tools on top if you need them.