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    "title": "Facebook AI Transcript Extractor",
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    "readmeSummary": "## Facebook AI Transcript Extractor\n\nConverts public Facebook videos and Reels into machine-generated transcripts and structured caption assets for search, analysis, and downstream AI workflows. The Actor performs automatic speech recognition (ASR) on video audio to produce a full transcript, timestamped segments with start/end times, and ready-to-save subtitle documents in SRT and WebVTT formats; it also extracts video metadata such as canonical URLs, video identity, title and description text, duration, uploader and publication metadata, thumbnails, and selected media format. It supports batch processing of multiple public URLs, language hinting for transcription, deduplication of repeated URLs, and preserves successful outputs when other targets in a batch fail—yielding structured, timestamped text and caption artifacts suitable for indexing, summarization, retrieval, accessibility drafts, and further automated analysis.\n\n## Use cases\n\n- Research and journalism: extract searchable quotations and timestamps from public Facebook videos and Reels.  \n- Accessibility teams: generate subtitle drafts and caption files (SRT/WebVTT) for authorized content.  \n- Content and social teams: index spoken material across batches of public video URLs for tagging, search, or reuse.  \n- Developers and AI builders: feed structured transcripts and timestamped segments into search, summarization, retrieval-augmented generation, or other NLP pipelines.  \n- Create subtitle drafts and caption files for publishing or review.  \n- Extract timestamps for specific mentions or product names and cite relevant time ranges.  \n- Batch workflows: transcribe single short Reels or process multiple public URLs in small research batches.",
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