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⇱ Text-to-speech tools for turning stories into podcasts | Glama

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Text-to-speech tools for turning stories into podcasts

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  • Why this server?

    This server directly addresses the user's need by providing text-to-speech capabilities via the Typecast API, allowing conversion of stories into audio for podcast creation.

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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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    3

  • Why this server?

    Offers text-to-speech functionality with multiple voice options and audio formats, crucial for creating podcasts from stories.

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    A Model Context Protocol server that integrates high-quality text-to-speech capabilities with Claude Desktop and other MCP-compatible clients, supporting multiple voice options and audio formats.
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    MIT

  • Why this server?

    While primarily focused on video, this server can extract audio content and transcribe it, which could be a useful intermediate step for creating podcasts from video-based stories. It also supports many streaming sites.

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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?

    Provides text-to-speech capabilities with customizable voices and adjustable speech speed, useful for generating narration for podcasts.

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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.
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    10

  • Why this server?

    Offers direct speech generation in multiple languages and emotions, suitable for varied podcast narrations.

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    Facilitates direct speech generation using Claude for multiple languages and emotions, integrating with a Zonos TTS setup via the Model Context Protocol.
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