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A tool for extracting text from videos

  • Why this server?

    This server extracts and transcribes audio content from videos across 1000+ streaming websites, providing the text for video copy extraction.

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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.
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    5
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    This server utilizes the Google Gemini Vision API to interact with YouTube videos, allowing users to get descriptions, summaries, answers to questions, and extract key moments, which can be used to create video copy.

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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.
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    4
    141
    JavaScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    This experimental MCP server makes YouTube playlist transcripts available for AI assistants, enabling search and conversation about video content, which would be useful for video copy extraction.

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    An experimental MCP server that makes YouTube playlist transcripts available for AI assistants, enabling search and conversation about video content.
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    1
    Python
    Apache 2.0
    • Apple
  • Why this server?

    While focused on video editing, this server could potentially be extended or used in conjunction with another server to extract text prompts and then edit the video accordingly.

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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.
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    17
    Python
    • Apple
    • Linux
  • Why this server?

    This server automates generating LinkedIn post drafts from YouTube videos, effectively extracting a written version of the video's content.

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    A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.
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    6
    2
    JavaScript
    MIT License
    • Apple
  • Why this server?

    This server is designed for downloading and managing YouTube content, which could include extracting captions or transcripts.

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    A server for downloading, processing, and managing YouTube content with features like video quality selection, format conversion, and metadata extraction.
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    JavaScript
  • Why this server?

    This server is focused on providing better internet research results, potentially identifying articles or resources related to video content. Could be useful if the video has supporting documentation available on the web

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    Allows the use of Kagi's API for web searching and content enrichment through methods like fastgpt, enrich/web, and enrich/news.
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    2
    Python
    MIT License
    • Apple