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Automatic dubbing: your podcast in multiple languages

Automatic dubbing: your podcast in multiple languages

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 Summary: Podcast Club explains how automatic dubbing can turn a podcast into multiple languages through smart localization (preserving intent, tone, and personality), not just word-for-word translation. It offers a practical five-step workflow (transcription, neural translation with glossaries, voice cloning or a synthetic voice, timing alignment, quality control and publishing), guidance on which languages to prioritize, a one-week implementation plan, and tips on compliance, cost, and measurement. The goal is to expand reach, improve discovery, and attract sponsors by efficiently producing multilingual episodes, with a clear call to pilot and collaborate with Podcast Club. Key takeaways: - Core idea: Use AI-driven dubbing to reach global audiences while maintaining your voice and style. - Five-step workflow: transcription, translation with glossaries, voice cloning or synthetic voice, timing alignment, and quality control/publishing. - Strategy: prioritize languages based on audience, market size, and fit; run a pilot and measure engagement. - Action plan: a detailed week-long rollout (objectives, translations, voice, edits, metadata optimization, and monitoring). - Practical tips: maintain consistent terminology, separate music/effects for remixing, add transparency about AI dubbing, and ensure compliance with rights and data privacy. - Metrics: track retention, shares, comments by language, and language-specific searches to optimize future iterations. - Cost/time advantage: automated workflow can translate to multiple languages in hours, not weeks. Remeber you can contact me at andresdiaz@bestmanagement.org
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