# Changelog of Transcribe Podcast to Text — Show Notes, SRT & Timestamps (`sian.agency/transcribe-podcast-to-text`) Actor

- **URL**: https://apify.com/sian.agency/transcribe-podcast-to-text/changelog.md
- **Full Actor documentation**: https://apify.com/sian.agency/transcribe-podcast-to-text.md

## Podcast Transcriber - Changelog

### 2026-04-27 — 🎉 v1.0 Launch

- 🎙️ **Built for Podcasters** — drop direct podcast episode URLs from Spotify for Podcasters, Buzzsprout, Libsyn, Transistor, Acast, Megaphone, and any other host
- 📤 **File Upload** — or upload local episode files (raw masters, downloaded back-catalog, etc.)
- 🌍 **99+ Languages** — automatic language detection
- 🎤 **Speaker Diarization** — separate host from each guest (`SPEAKER_00`, `SPEAKER_01`, …) — perfect for interview-style shows
- ⏱️ **Word-Level Timestamps** — `segments[].words[]` carries `{word, start, end, speaker}` for every spoken word; pull the exact 12-second clip without scrubbing
- 🎬 **SRT and VTT Subtitle Export** — drop captions onto YouTube uploads of your video podcast
- 🔄 **Translate to English** — turn non-English shows into English text in the same run
- 🇪🇺 **EU-Region Processing** — optional GDPR-friendly EU-only processing
- 🚀 **Bulk Processing** — 10× parallel on the paid tier; transcribe an entire season's worth of episodes in one run

#### 💎 User Benefits

- $2.16 per 60-minute episode vs $30+ at typical podcast transcription services — 14× cheaper
- Transcribe an entire 30-episode season in 30–60 minutes
- Show-notes-ready output with natural chapter boundaries from segments\[]
- Word-level timestamps make soundbite-clip extraction trivial
- Works directly with raw `.mp3` URLs from any podcast host

#### 🎯 Use Cases

- 🎙️ Interview-show podcasters generating publication-ready transcripts of every guest episode
- 📺 Video podcast creators getting SRT files ready for YouTube upload
- 📊 Podcast network operators bulk-transcribing entire show back catalogs for SEO and discovery
- ✍️ Solo content creators turning a 60-minute episode into a 2,000-word blog post in one workflow
- 🔍 Researchers studying podcasts academically, journalistically, or for market analysis
- 🦻 Accessibility-conscious shows providing full transcripts on every episode page
- 🌐 Translators and localizers transcribing foreign-language podcasts in one pass