Audio
ComfyUI-Qwen3-TTS
Qwen3-TTS custom nodes for ComfyUI: clone, design, and fine-tune voices.
★ 304 starsCustom
View guide →On-device speech-to-text for macOS.
dictly is an open-source audio project by vlr-code (vlr-code/dictly on GitHub). It has 51 GitHub stars and 4 forks, is released under the MIT license, and was last updated on GitHub on 11 July 2026.
Change the config to match your workflow, then run it daily.
Decide what you want dictly to do first — on-device speech-to-text for macOS. Hold a hotkey → Whisper transcribe.
Pull the latest changes to stay current with fixes.
The README documents setup; start with the install section.
Working apple silicon support built in.
Type by speaking anywhere.
Feels at home on the Mac.
Working on device ai support built in.
Feels native on Apple platforms.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/vlr-code/dictly.git
cd dictlyBuild the Swift package.
swift buildRun the built product.
.build/debug/app # product name may varyYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
Yes — it lives on GitHub at vlr-code/dictly. Open an issue or pull request; the contribution guide in the repo explains the process.
Qwen3-TTS custom nodes for ComfyUI: clone, design, and fine-tune voices.
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Fast and local neural text-to-speech engine
On-device streaming speech-to-text engine for real-time apps.
Free, open source, 100% offline AI text-to-speech for macOS, Windows & Linux.
Free AAC communication boards with text-to-speech, in the browser.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if dictly 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.