Audio
joinly
Give AI agents a seat in your meetings.
★ 566 starsMIT
View guide →Voice-to-text for the Linux terminal, from a hotkey.
ostt is an open-source audio project by kristoferlund (kristoferlund/ostt on GitHub). It has 304 GitHub stars and 31 forks, is released under the MIT license, and was last updated on GitHub on 1 October 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.
A keyboard-driven interface for fast terminal workflows.
Turns spoken audio into accurate text.
Cleans up background noise automatically.
Knows who said what in multi-speaker audio.
Process audio without uploading to the cloud.
Handles MP3, WAV, and common audio formats.
Download the source and move into the project folder.
git clone https://github.com/kristoferlund/ostt.git
cd osttCompile an optimized release build with Cargo.
cargo build --releaseLaunch the release binary and check its help output.
./target/release/app --helpIt is an open-source project at kristoferlund/ostt with 31 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.
Give AI agents a seat in your meetings.
NVIDIA Broadcast-style AI effects for Linux and macOS.
Self-hosted Whisper speech-to-text as a Docker image.
Open-source AI voice typing: hotkey, speak, get polished text anywhere.
Entirely local, open source voice-to-text utility.
Native Linux dictation: fast, private, and hackable speech-to-text.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if ostt 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.