Transcribe Spreaker to Text
Transcribe Spreaker audio and video content to text.
Works with publicly available audio & video. DRM-protected content is not supported.
How to Transcribe Spreaker
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1. Copy the Spreaker URL
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2. Paste it into STT.ai and select your AI model
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3. Get your transcript with timestamps
Why Use STT.ai for Spreaker?
Just Paste a URL
No downloads or extensions needed
10+ AI Models
Whisper, Canary, and more
100+ Languages
Auto-detection or manual
Export TXT, SRT, VTT, DOCX
Subtitles, notes, documents
What to do with your Spreaker transcript
Show notes & episode descriptions
AI summarizer turns the transcript into RSS-ready show notes.
Audiogram-ready quote highlights
Pick standout moments with timestamps for promo clips.
SEO-friendly transcript pages
Google indexes text, not audio — publish the transcript to drive search traffic.
Frequently Asked Questions
Paste the Spreaker episode URL into STT.ai. We fetch the audio stream directly, transcribe the full episode (including long-form shows), and give you timestamps plus speaker labels for the host and guests.
No — STT.ai reads publicly-available Spreaker content directly from the URL. Private or age/region-gated Spreaker content has to be downloaded manually with the original account first, then uploaded as a file.
Yes. STT.ai includes 600 free minutes/month — usable for Spreaker URLs exactly like uploaded files. Paid plans starting at $5/month extend per-item length limits.
Free users get up to 1 hour per audio/podcast; paid plans extend that to 8+ hours — which covers full Spreaker episodes, multi-part lectures, and back-catalog binges in a single pass.
Spreaker hosts on-demand files rather than live broadcasts, so transcription works on the stored audio/podcast once it's uploaded. For genuinely live audio, use STT.ai's live-transcription tool pointed at the source stream instead.
DRM-protected Spreaker content cannot be transcribed — we don't bypass DRM. For those, capture the audio through your OS (system audio recorder, OBS) and upload the resulting file directly.
Yes. 100+ languages, auto-detected by default. For mixed-language Spreaker content, our models handle language switches mid-clip.
Yes. Diarization separates host(s) from guest(s) on every Spreaker episode, so interviews and panel shows come back with clean per-speaker turns you can rename.
Export Spreaker transcripts as DOCX, PDF, TXT, or JSON for notes, sharing, and archiving — plus SRT/VTT if you later pair the audio with video. Most Spreaker users reach for DOCX or PDF.
Spreaker URL transcription accuracy tracks the source audio quality — clean studio audio reaches 93-95% with our best models; low-bitrate streams or noisy field recordings land lower.
Spreaker transcripts are private to your account by default. Pro plans add client-side encryption — even STT.ai can't read them without your key. Source audio is deleted after transcription.
Yes. Submit many Spreaker URLs at once through the REST API or in-app batch upload — each is queued and you get an email per finish. Built for podcast back-catalogs, full course archives, and Spreaker channel migrations.
Beyond Spreaker, STT.ai supports 1,300+ platforms — including Spotify, SoundCloud, Apple Podcasts, and Simplecast. The /transcribe/ directory lists every supported source.