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⇱ Tools and Services for Converting Speech to Text | Glama


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Tools and Services for Converting Speech to Text

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  • Why this server?

    This server extracts and transcribes audio content from videos, which directly addresses the '语音转文本' (speech to text) requirement.

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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
    28
    MIT
  • Why this server?

    While primarily for text to speech, managing voices and audio can be relevant if the user wants to convert the text back into speech after processing.

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    Enables seamless integration with Typecast API through the Model Context Protocol, allowing clients to manage voices, convert text to speech, and play audio in a standardized way.
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  • Why this server?

    Provides text-to-speech capabilities, useful in scenarios where after converting speech to text, the user wants to convert it back or use it in other audio-related tasks.

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    Provides text-to-speech capabilities through the Model Context Protocol, allowing applications to easily integrate speech synthesis with customizable voices, adjustable speech speed, and cross-platform audio playback support.
    Last updated
    10
  • Why this server?

    Offers chat and image analysis, useful if the user has multimodal inputs (audio and images) related to the voice data.

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    Provides chat and image analysis capabilities through OpenRouter.ai's diverse model ecosystem, enabling both text conversations and powerful multimodal image processing with various AI models.
    Last updated
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  • Why this server?

    May be useful to test that various text transcription tasks for accuracy, but it is not clearly stated. Add to selection for the user to explore.

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    An MCP server that provides powerful search capabilities for Jewish texts and literature. This server enables Large Language Models to search and reference Jewish texts through a standardized interface.
    Last updated
    23
    MIT