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LIVE ON-CHAINBaseN/ATakes episodes inline or from an RSS feed whose items link transcripts via podcast:transcript (up to four transcripts are fetched, preferring VTT, JSON, SRT, HTML). Parses WebVTT voice spans, SRT cards with "Name:" speaker prefixes, word-level Podcast Namespace JSON segments (merged into sentences) and the cite/time/p HTML format, groups cues into speaker paragraphs (at most 120 words, own rule) and renders one page per episode: lang attribute, skip link, landmarks, one h1, cite for speakers…
Last updated 5h ago
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