Automating Podcast Localization via OpenAI APIs
summary
Demonstration shows an end-to-end proof of concept that pulls episodes via podcast4j / podcastindex.org, transcribes with Whisper-1, cleans and translates text with GPT-style prompts, and generates TTS output; code is in Kotlin and uses OpenAI APIs and a Ktor client. One-hour episodes split and process in chunks and reportedly finish in ~2–3 minutes at ~$1–$2. Known issues: 25 MB upload limit, careful silence-based chunking, MP3 metadata loss requiring FFmpeg, and non‑native accents in available TTS voices (examples: English→Russian and Arabic tested).
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chapters (17)
- 0:00Introduction
- 5:56Automate podcast localization
- 9:24Localization service features
- 10:28Technologies used
- 14:27Download podcast media
- 15:11Transcription with Whisper
- 16:18Improving transcription with GPT-4
- 19:52Translate and preserve tone
- 22:05TTS generation challenges
- 24:01Speech with OpenAI TTS
- 27:13Evaluate translation quality
- 28:58Code walkthrough
- 31:28Build and publish RSS
- 34:19Future improvements
- 37:49Conclusion
- 41:54Live demo
- 1:00:56Q&A
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