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Tools or models for generating highlights from MP4 files using video, audio, and text analysis

  • Why this server?

    This server enables video editing using natural language commands powered by FFmpeg, including trimming and merging, which is relevant for generating highlights.

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    Enables video editing using natural language commands powered by FFmpeg, supporting operations like trimming, merging, format conversion, and more with real-time progress tracking and error handling.
    Last updated -
    17
    Python
    • Apple
    • Linux
  • Why this server?

    This service extracts and transcribes audio content from videos across many streaming websites and provides multiple transcription providers. This could be useful to generate highlights.

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    A service that extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter, supporting multiple transcription providers like Deepgram, Gladia, Speechmatics, and AssemblyAI.
    Last updated -
    5
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    This server analyzes YouTube videos, extracts transcripts, generates summaries, and allows querying video content using Gemini AI, which supports understanding of video, audio and text.

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    A Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.
    Last updated -
    7
    Python
    • Linux
    • Apple
  • Why this server?

    This server uses the Google Gemini Vision API to interact with YouTube videos, allowing users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.

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    MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.
    Last updated -
    4
    141
    JavaScript
    MIT License
    • Linux
    • Apple