{
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    "title": "Media Transcriber - Audio & Video to Text, SRT, VTT",
    "description": "Transcribe any audio or video file into text with timestamps, SRT and VTT subtitles. Whisper runs inside the Actor - no API keys, no setup. MCP-ready for AI agents.",
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        "required": [
          "mediaUrls"
        ],
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            "type": "array",
            "description": "Upload audio or video files, or paste direct links to them (MP3, MP4, WAV, M4A, OGG, FLAC, WebM, MOV...). A link must point straight at the file. Links to video-sharing or social platforms are rejected, because downloading from them would breach those sites' terms of service - upload the file instead if you have the right to use it."
          },
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            "title": "Model",
            "enum": [
              "tiny",
              "base",
              "small",
              "medium"
            ],
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            "description": "Larger models are more accurate but cost more per minute. 'base' is a good default for clear speech; use 'small' or 'medium' for accents, noise, or non-English audio.",
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            "title": "Language",
            "type": "string",
            "description": "ISO-639-1 code of the spoken language (for example 'en', 'ja', 'es'). Leave empty to auto-detect.",
            "default": ""
          },
          "translateToEnglish": {
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            "type": "boolean",
            "description": "Translate the speech into English instead of transcribing it in the original language.",
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          },
          "outputFormats": {
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            "description": "Which formats to produce. Plain text and segments are always included in the dataset; SRT and VTT are additionally saved as downloadable files.",
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              "type": "string",
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                "WebVTT subtitles"
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            "minimum": 1,
            "maximum": 2000,
            "type": "integer",
            "description": "Files larger than this are skipped, so a mistyped link cannot run up a bill.",
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