How Podcasters Use AI to Create Multilingual Episodes

Описание и применение

Автоматизированный процесс создания мультиязычных подкастов с помощью Google Translate, ElevenLabs и GitHub Actions, позволяющий быстро публиковать аудио на RSS‑канал.

Задача

Podcasters need to reach global audiences but translating scripts, hiring voice actors, and coordinating recordings across time zones is logistically difficult.

Результат

The workflow produces multilingual podcast episodes in minutes, eliminating the need for multiple voice actors and manual translation, and integrates directly into the podcast’s RSS feed.

Рабочий процесс

• Prepare a plain‑text script file (episode.txt).
• Translate the script into target languages using Google Cloud Translate API.
• Generate audio for each translation with ElevenLabs API, using a cloned voice model.
• Post‑process audio with FFmpeg (normalization, format conversion).
• Automate the entire process with GitHub Actions to trigger on new commits and publish to the RSS feed.

Доказательства

If you’ve ever tried to reach a global audience, you know that language can be a major barrier.

Источник

The good news? Voice‑AI and text‑to‑speech (TTS) tech have matured fast enough that you can generate high‑quality, native‑sounding episodes in any language with just a few lines of code.

Источник

Integrate the entire pipeline into a CI/CD workflow so new episodes land on your RSS feed in minutes.

Источник