Audio
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Voice-to-text for the Linux terminal, from a hotkey.
★ 304 starsMIT
View guide →Give AI agents a seat in your meetings.
joinly is an open-source audio project by joinly-ai (joinly-ai/joinly on GitHub). It has 566 GitHub stars and 95 forks, is released under the MIT license, and was last updated on GitHub on 1 September 2026.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Exposes its capabilities to AI agents over the Model Context Protocol.
Turns spoken audio into accurate text.
Process audio without uploading to the cloud.
Handles MP3, WAV, and common audio formats.
Real-time transcription as audio arrives.
Faster processing with CUDA support.
Download the source and move into the project folder.
git clone https://github.com/joinly-ai/joinly.git
cd joinlyCreate a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtStart the app or CLI and follow the README examples.
python main.py --helpIt is an open-source project at joinly-ai/joinly with 95 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is MIT licensed, so you can use it commercially with attribution.
MP3, WAV, and most common formats are supported.
It helps a lot for transcription speed, but CPU mode works too.
Tools with diarization label who said what.
Voice-to-text for the Linux terminal, from a hotkey.
NVIDIA Broadcast-style AI effects for Linux and macOS.
Self-hosted Whisper speech-to-text as a Docker image.
AgentCall lets AI Agents join meetings with voice
VoiceMem — streaming dual-brain memory for voice agents: a left brain for facts, a right brain for emotion
Local-first meeting notes your AI coding agents can query over MCP.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if joinly 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.