Аудио
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Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
★ 1,0 тыс. звёздMIT
Смотреть руководство →DeLive — проект с открытым исходным кодом из категории «Аудио» от XimilalaXiang (XimilalaXiang/DeLive на GitHub). У него 281 звезда на GitHub и 18 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 23 сентября 2026.
Live captions and AI meeting review from any system audio — local-first.
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.
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если DeLive 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 DeLive — продолжайте изучать полку по обе стороны от него.
Capable AI keyboard for reliable speech transcription.
Browse WhatsApp chat exports offline, with AI voice transcription.
Voice-to-text for the Linux terminal, from a hotkey.
Free and open source offline voice dictation for Windows, Linux, and macOS.
Qwen3-TTS custom nodes for ComfyUI: clone, design, and fine-tune voices.
Self-hosted AI video analysis: summaries, chapters, transcripts.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.