Audio
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Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
★ 1.0k starsMIT
View guide →Live captions and AI meeting review from any system audio — local-first.
DeLive is an open-source audio project by XimilalaXiang (XimilalaXiang/DeLive on GitHub). It has 281 GitHub stars and 18 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 23 September 2026.
Download the source and enter the folder.
Pull the Node packages for the Electron app.
Choose from 12 providers, including local options.
Start system-audio capture and explore the AI workspace.
Captions from any app’s audio output.
From cloud APIs to local models.
Broad multilingual transcription.
On-screen captions as audio plays.
Turn transcripts into structured takeaways.
Script it or connect agents.
Download the source and move into the project folder.
git clone https://github.com/XimilalaXiang/DeLive.git
cd DeLivePull the Node packages it needs.
npm installStart the Electron desktop app.
npm run devIt is an open-source project at XimilalaXiang/DeLive with 18 forks.
Yes. It is Apache-2.0 licensed.
It is an Electron desktop app with Linux support.
Not necessarily — 12 backends include local options.
Yes. It ships an Open API and an MCP server.
Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
Fully local transcription with diarization, for every desktop OS.
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Local-first AI meeting minutes workbench: FunASR speech-to-text + Ollama LLM.
Local-first meeting notes your AI coding agents can query over MCP.
Meeting recorder designed for your Mac with a live AI copilot.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if DeLive 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.