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    "readmeSummary": "## Speech to Text API: Audio to Text & Video to Text (Media Transcriber)\n\nA speech-to-text Actor that transcribes audio and video links and podcast feeds using Whisper models inside the Actor container; it produces full transcripts, timestamped segments, SRT/VTT subtitles, Markdown exports and source-linked RAG chunks (chunked, timestamped text with citation links) in 90+ languages with optional speech-to-English translation. Designed for direct HTTP(S) media files, podcast RSS/Atom feeds, YouTube (best-effort) and other sites via yt-dlp with proxy support, the Actor performs auto language detection, processes long recordings in five-minute processing blocks while preserving timestamps across the file, supports multiple model tiers for accuracy/speed tradeoffs, offers per-word timestamping and configurable chunking/overlap for RAG-ready output, and runs recognition locally (no third-party transcription service).\n\n## Use cases\n\n- Automatically transcribe new podcast episodes and skip previously processed episodes (monitoring/checkpointing).\n- Produce SRT and VTT captions for video accessibility and SEO.\n- Transcribe interviews, lectures, briefings and call recordings for research or journalism.\n- Create timestamped, source-linked RAG chunks for search and retrieval / audio knowledge bases.\n- Translate foreign-language speech into English for localization or review.",
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