Audio
ComfyUI-Qwen3-TTS
Qwen3-TTS custom nodes for ComfyUI: clone, design, and fine-tune voices.
★ 304 SterneCustom
Anleitung ansehen →dictly ist ein Open-Source-Projekt aus der Kategorie Audio von vlr-code (vlr-code/dictly auf GitHub). Es hat 51 Sterne auf GitHub und 4 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 11. Juli 2026 auf GitHub aktualisiert.
On-device speech-to-text for macOS.
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.
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls dictly nicht das Richtige ist.
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++
Verwandte Projekte der Kategorie Audio im Katalog, die dictly bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Free offline Whisper dictation for Windows, macOS, and Linux.
Open-source dictation with offline recognition, everywhere.
Benchmark voice-cloning robustness across 32 TTS/VC models.
Entirely local, open source voice-to-text utility.
Official JS SDK for AssemblyAI transcription and audio intelligence.
A free offline desktop assistant for speech-to-text.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.