What file formats does subtitle-mcp support for transcription?
It supports audio formats `.mp3` and `.wav`, and video formats `.mp4` and `.mov`. Transcriptions are output as `.srt` subtitle files.
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基本信息
This is a MCP Server for ETL(Extract Translate and Load)
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
subtitle-mcp is a local server that provides subtitle management, transcription, summarization, and comprehension assessment services. It is designed for users who need to process, analyze, and generate subtitles from local files or YouTube videos without relying on cloud services.
Install dependencies with pip install -r requirements.txt, then configure a directory for .srt files. Use the server’s tools to load subtitles, transcribe audio/video files into .srt, extract YouTube subtitles, and generate summaries or assessments.
.srt subtitle files from a specified directory..srt using Whisper.It supports audio formats `.mp3` and `.wav`, and video formats `.mp4` and `.mov`. Transcriptions are output as `.srt` subtitle files.
Most tasks run entirely locally. An internet connection is needed only for extracting subtitles from YouTube videos or downloading audio for auto‑transcription.
The directory for `.srt` files is specified in the server configuration when loading subtitles. The README notes that you “load .srt subtitle files from a specified directory” without further details.
Yes, if official subtitles are unavailable, subtitle-mcp can automatically transcribe the YouTube video’s audio using its built‑in ASR model.
The README does not mention any specific limits on file size or duration for transcription or subtitle processing.
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