Audio
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
★ 21,8 Tsd. SterneMIT
Anleitung ansehen →argmax-oss-swift ist ein Open-Source-Projekt aus der Kategorie Audio von argmaxinc (argmaxinc/argmax-oss-swift auf GitHub). Es hat 6.389 Sterne auf GitHub und 619 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 24. September 2026 auf GitHub aktualisiert.
On-device Speech AI for Apple Silicon
Transcription, synthesis, voice changing, or editing — each tool here majors in one.
Binaries, pip packages, or Docker; models download on first run for AI tools.
Drop in a recording or type what you want spoken.
WAV/MP3/OGG outputs drop straight into editors or apps.
Accurate speech-to-text for transcription workflows.
High-quality text-to-speech voices built in.
Tell speakers apart in meetings and interviews automatically.
Clone a voice from a short sample for narration and dubbing.
Whisper-grade transcription and natural neural voices, free.
Many run fully on-device — nothing you say leaves the machine.
Download the source and move into the project folder.
git clone https://github.com/argmaxinc/argmax-oss-swift.git
cd argmax-oss-swiftEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at argmaxinc/argmax-oss-swift with 619 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Most of these run fully offline after the model download.
Check each license — many allow it, but voice-cloning has ethical and legal boundaries.
Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio proce…
Python library for audio and music analysis
On-device speech-to-text for macOS.
On-device streaming speech-to-text engine for real-time apps.
MeloTTS — multilingual text-to-speech for English, Spanish, French, Chinese, Japanese and Korean.
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls argmax-oss-swift 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 argmax-oss-swift bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
eSpeak NG — the compact open-source speech synthesizer for 100+ languages, small enough to embed anywhere.
Human-level text-to-speech through style diffusion and adversarial training with speech language models.
ODS V3 Pre-Release: Public testing and refinement ahead of the official V3 launch. Turn your PC, Mac, or Linux box into a private AI server.
Silero Models: pre-trained text-to-speech models made embarrassingly simple
MeloTTS — multilingual text-to-speech for English, Spanish, French, Chinese, Japanese and Korean.
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…
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.