Аудио
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 тыс. звёздApache-2.0
Смотреть руководство →mcp-video-analyzer — проект с открытым исходным кодом из категории «Аудио» от guimatheus92 (guimatheus92/mcp-video-analyzer на GitHub). У него 85 звёзд на GitHub и 16 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 4 октября 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…
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если mcp-video-analyzer вам не подходит.
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++
Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к mcp-video-analyzer — продолжайте изучать полку по обе стороны от него.
Free, open source, 100% offline AI text-to-speech for macOS, Windows & Linux.
Local AI search across your podcast and video archives.
Free, open source, 100% offline AI dictation for Windows & macOS.
Record your screen, narrate the bug, hand AI structured notes.
Meeting recorder designed for your Mac with a live AI copilot.
Official JS SDK for AssemblyAI transcription and audio intelligence.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.