How Podcasters Use AI to Create Multilingual Episodes

说明与用途

使用 Google Translate、ElevenLabs 和 GitHub Actions 的自动化工作流，快速生成多语言播客并发布到 RSS 订阅源。

问题

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

结果

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.

工作流

• 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.

证据

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

来源

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.

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

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