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👉 In this video, I will show you two methods to create AI podcasts in any language from your documents using Gemini TTS and NotebookLM. While Gemini's audio overview feature only works in English, you can bypass this limitation by adjusting language settings in NotebookLM or using Gemini's canvas feature with its text-to-speech API. Both techniques let you convert documents into natural-sounding podcasts in Japanese, Spanish, French, or dozens of other languages with downloadable audio files. Prompt: Before writing any code, read the official Gemini Canvas documentation and the official Gemini text to speech documentation for the built in audio features available in this environment, then build a web app that converts the provided document into a realistic engaging podcast in the same language as the original document, with multiple speakers and natural pacing where each turn varies in length so the overall dialogue is longer and more comprehensive, use only the built in text to speech capability and do not use external API endpoints or API keys, add reliability features for flaky behavior such as retry with backoff plus clear user facing error messages and safe resume so partial audio is not lost, show the dialogue and audio in a simple HTML preview player with play and pause and the ability to play each line or segment, include controls for per speaker voice selection and a custom instruction input that lets the user request accent emotion tone speaking style and pacing, add a generate podcast button to create all audio segments, and after completion provide a download button that merges all segments into one combined audio file. ❤️ Subscribe: / @asapguide