- The episode explains how AI-powered multilingual subtitles can help a podcast reach global audiences by making content accessible in multiple languages, which also improves discovery on search engines and social platforms. - It covers how subtitles work (speech recognition to text, translation, timing, and synchronization) and notes that modern tools output standard formats like SRT and WEBVTT, with automatic language detection reducing setup work. - A practical starter guide is provided: 1) Record with good audio quality 2) Generate an automatic transcription and review common errors 3) Pick languages based on market potential 4) Translate with tone adjustment to preserve the host’s voice 5) Synchronize and perform a quick human review 6) Export SRT/WEBVTT and upload; publish a full site transcription 7) Promote with multilingual descriptions, keywords, and captioned clips on social - The text notes recent updates in AI subtitle tools: higher recognition accuracy, broader language support, better accent detection, real-time subtitles for live and recorded content, and easier distribution across platforms. - It highlights the impact on metrics: expanded audience, improved retention, longer listening time, and visibility in international topic searches. It also offers SEO tips and emphasizes the value of including context notes or glossaries and preserving emotion in translations. - Additional guidance includes consistency in format, periodic review of translations, and budgeting for occasional human review to fix cultural or technical issues. - The closing invites readers to subscribe and contact the author, with emphasis on accessibility benefits and brand positioning as a niche authority. Remeber you can contact me at [email protected]