Audio
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Give AI agents a seat in your meetings.
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View guide →Self-hosted Whisper speech-to-text as a Docker image.
docker-whisper is an open-source audio project by hwdsl2 (hwdsl2/docker-whisper on GitHub). It has 112 GitHub stars and 21 forks, is released under the NOASSERTION license, and was last updated on GitHub on 21 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.
Ships with container support for one-command self-hosting.
Deploy the full stack on your own infrastructure.
Turns spoken audio into accurate text.
Adapt the pipeline to your audio needs.
Cleans up background noise automatically.
Knows who said what in multi-speaker audio.
Download the source and move into the project folder.
git clone https://github.com/hwdsl2/docker-whisper.git
cd docker-whisperCreate 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 hwdsl2/docker-whisper with 21 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one.
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.
Voice-to-text for the Linux terminal, from a hotkey.
NVIDIA Broadcast-style AI effects for Linux and macOS.
A ready API for speech-to-text with per-user access control.
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text…
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow build…
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if docker-whisper 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.