Áudio
sherpa-onnx
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet co…
★ 15,1 mil estrelasApache-2.0
Ver o guia →mcp-video-analyzer é um projeto de áudio de código aberto de guimatheus92 (guimatheus92/mcp-video-analyzer no GitHub). Tem 85 estrelas no GitHub e 16 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 4 de outubro de 2026.
MCP server that turns any video — YouTube.
Change the config to match your workflow, then run it daily.
Pull the latest changes to stay current with fixes.
The README documents setup; start with the install section.
Decide what you want mcp-video-analyzer to do first — mCP server that turns any video — YouTube, Instagram, TikTok, Loom, X,.
Works with Anthropic Claude models.
Working frames support built in.
Working instagram support built in.
Working loom support built in.
Typed code that is easier to maintain.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/guimatheus92/mcp-video-analyzer.git
cd mcp-video-analyzerInstall the Node dependencies.
npm installStart the app or dev server.
npm startYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
Yes — it lives on GitHub at guimatheus92/mcp-video-analyzer. Open an issue or pull request; the contribution guide in the repo explains the process.
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet co…
Fully local transcription with diarization, for every desktop OS.
A ready API for speech-to-text with per-user access control.
FastRTC turns any Python function into a real-time audio or video stream over WebRTC or WebSockets
Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
Open-source AI video localization and dubbing for YouTube/Bilibili: speech recognition, subtitle translation, voice cloning, audio mixing and rendering. 开源 A…
Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se mcp-video-analyzer não for o ideal para você.
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Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
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Record your screen, narrate the bug, hand AI structured notes.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.