On-device diarization separates hosts and guests — no cloud, no extra service.
Podcast Transcription That Respects Your Unreleased Episodes
Upload your unreleased episode to a cloud service? Not a chance. VoiceMaster transcribes podcast audio entirely on your Mac, iPad or iPhone — with speaker labels, timestamps, and Markdown export ready for show notes and blog posts.
From Episode Audio to Published Show Notes
Three steps, about a minute, zero uploads.
Drop in the WAV, MP3 or M4A master — VoiceMaster queues it for on-device transcription.
Pro speaker separation identifies hosts and guests on-device; rename them once and labels apply everywhere.
Markdown with timestamps for show notes, plain text for blog drafts, SRT for audiograms and clips.
Why VoiceMaster
Private on-device transcription with pro-grade output.
Markdown export includes title, date, duration, language and timestamped segments.
Timestamps on every segment make episode chapters easy to build.
Unpublished episodes never leave your machine — embargo-proof by design.
Why Every Podcast Needs a Transcript
Audio is invisible to search engines. A transcript turns each episode into indexable text that can rank for the topics you discussed — for many shows it becomes the single largest source of organic discovery. Transcripts also make your show accessible to deaf and hard-of-hearing listeners, and to the large audience that simply prefers reading.
Beyond SEO, a timestamped transcript is production infrastructure: pull quotes for social posts, build episode chapters from the segment timings, and turn the conversation into show notes or a companion article without re-listening to the full episode.
Transcribing Unreleased Episodes Safely
Here’s the podcaster’s dilemma: the episode most worth transcribing — the one that hasn’t aired yet, maybe with a high-profile guest under embargo — is exactly the one you shouldn’t upload to a cloud transcription service. Leaks happen through misconfigured buckets, vendor breaches and over-broad terms of service.
VoiceMaster resolves it architecturally: the episode master stays on your machine, the speech model runs locally, and speaker separation happens on-device too. You get labeled, timestamped text ready for show notes while the only copy of the audio remains exactly where you put it.
Frequently Asked Questions
Can VoiceMaster handle full-length podcast episodes?
Yes. With VoiceMaster Pro there is no length limit — transcribe full episodes locally. The free tier covers 120 minutes per month with files up to 30 minutes.
Does it identify different speakers?
Yes, with Pro. Speaker separation runs on-device, labels each segment, and you can rename speakers once for the whole episode.
Can I turn a podcast into a blog post?
Export the transcript as Markdown or plain text, then edit it into a post. The timestamped segments also make great pull-quote anchors.
Related Tools & Guides
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