How Podcasters Use AI to Create Multilingual Episodes

Description and use

Automated workflow for multilingual podcast creation using Google Translate, ElevenLabs, and GitHub Actions, enabling rapid RSS publishing.

Problem

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

Outcome

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.

Workflow

• 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.

Evidence

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

Source

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.

Source

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

Source