Audio
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…
★ 15.1k starsApache-2.0
View guide →MCP server that turns any video — YouTube.
mcp-video-analyzer is an open-source audio project by guimatheus92 (guimatheus92/mcp-video-analyzer on GitHub). It has 85 GitHub stars and 16 forks, is released under the MIT license, and was last updated on GitHub on 4 October 2026.
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.
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Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
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The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if mcp-video-analyzer is not the right fit.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
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
Port of OpenAI's Whisper model in C/C++
Free and open — grab the source, star the repo, and start creating.