Showing 3 open source projects for "re-tools"

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    RealtimeSTT

    RealtimeSTT

    A robust, efficient, low-latency speech-to-text library

    RealtimeSTT is a Python-based realtime speech-to-text engine emphasizing low latency, wake-word detection, voice activity detection, and automatic speech segmentation. It provides asynchronous callbacks, nanosecond-precision timestamps, and CLI tools, suitable for building voice assistants, meeting transcribers, or live caption systems.
    Downloads: 0 This Week
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    CMU Sphinx

    CMU Sphinx

    Speech Recognition Toolkit

    ...----> Maintenance and improvement work has MOVED to https://cmusphinx.github.io/ Please go there for the most recent software and documentation. <---- CMUSphinx is a speaker-independent large vocabulary continuous speech recognizer released under BSD style license. It is also a collection of open source tools and resources that allows researchers and developers to build speech recognition systems.
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    Downloads: 558 This Week
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    Yap MCP

    Private, on-device speech to text for AI assistants (MCP server).

    Yap MCP lets Claude, Cursor, VS Code, Windsurf and any MCP client transcribe local audio and video files (WAV, MP3, M4A, MP4, FLAC, OGG, Opus, WebM and more, any length) entirely on your computer with NVIDIA Parakeet TDT v3, the same speech engine as the Yap dictation app. 25 European languages detected automatically, optional timestamps, and a read-only search of your Yap dictation history. No upload, no API key, no account; the speech model (about 670 MB) downloads once and then it works offline. Tools: transcribe_audio, search_dictations, prepare_speech_model. Install: npx -y github:founden-bot/yap-mcp Claude Code: claude mcp add yap -- npx -y github:founden-bot/yap-mcp Source: https://github.com/founden-bot/yap-mcp (MIT license, Node.js 20+, macOS, Windows, Linux). The Yap team, O-mega Enterprise Inc.
    Downloads: 0 This Week
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