Audio
Speech
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recogni…
★ 18,5 Tsd. SterneApache-2.0
Anleitung ansehen →ODS ist ein Open-Source-Projekt aus der Kategorie Audio von Osmantic (Osmantic/ODS auf GitHub). Es hat 6.967 Sterne auf GitHub und 988 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 3. Oktober 2026 auf GitHub aktualisiert.
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.
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.
Ships with container support, so you can run it with a single compose file and predictable dependencies.
Large language models drive its smartest features, locally or via API.
Whisper-grade transcription and natural neural voices, free.
Many run fully on-device — nothing you say leaves the machine.
Open licenses let you ship voice features without per-minute API bills.
CLI and Python APIs slot into larger pipelines.
Download the source and move into the project folder.
git clone https://github.com/Osmantic/ODS.git
cd ODSEvery 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 Osmantic/ODS with 988 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.
Dozens; English is strongest, major world languages are solid.
Most of these run fully offline after the model download.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recogni…
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
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…
Native Linux dictation: fast, private, and hackable speech-to-text.
Turn books and documents into natural speech with the Kokoro TTS model.
Turn the beloved Kokoro voice model into an OpenAI-compatible speech API with one Docker command.
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls ODS 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 ODS bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
MeloTTS — multilingual text-to-speech for English, Spanish, French, Chinese, Japanese and Korean.
eSpeak NG — the compact open-source speech synthesizer for 100+ languages, small enough to embed anywhere.
VITS — the original end-to-end text-to-speech model: a conditional VAE with adversarial learning, in PyTorch.
On-device Speech AI for Apple Silicon
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
Human-level text-to-speech through style diffusion and adversarial training with speech language models.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.