KI-Musik
sendspin-bt-bridge
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Anleitung ansehen →// ai-music · sfortis/openai_tts
openai_tts
openai_tts ist ein Open-Source-Projekt aus der Kategorie KI-Musik von sfortis (sfortis/openai_tts auf GitHub). Es hat 219 Sterne auf GitHub und 54 Forks, wird unter der Lizenz GPL-3.0 veröffentlicht und wurde zuletzt am 2. Oktober 2026 auf GitHub aktualisiert.
Text-to-speech for Home Assistant from OpenAI, Mistral, Groq, Lemonfox, Kokoro, Chatterbox or any server that implements the OpenAI speech API, with announce…
★ 219 Sterne⑂ 54 ForksGPL-3.0aktualisiert Okt 2026
▦ Visual — das README dieses Projekts enthält keinen einbettbaren Screenshot,
darum hier ein Platzhalter. Die Anleitung unten ist trotzdem vollständig.
darum hier ein Platzhalter. Die Anleitung unten ist trotzdem vollständig.
// projektdaten
Projektdaten
- Repository
- sfortis/openai_tts
- GitHub-Sterne
- 219
- Forks
- 54
- Lizenz
- GPL-3.0
- Zuletzt auf GitHub aktualisiert
- 2. Oktober 2026
- Kategorie
- KI-Musik
- Eintragstyp
- Vollständige Installationsanleitung
- Offizielle Website
- GitHub repo
// so funktioniert es
So funktioniert es
- Choose creation or library
Generate new music with AI, or self-host the collection you already own.
- Install the app
Desktop, mobile, and server builds cover every listening setup.
- Add models or music
AI tools download models; players just need your files.
- Create or listen
Generate tracks, or stream your library anywhere.
// funktionen
Warum es so beliebt ist
LLM-powered
Large language models drive its smartest features, locally or via API.
Offline first
Your music works with or without the internet.
High fidelity
FLAC and lossless support for serious listening.
No subscription
Own your music software the way you own your files.
Your library, yours
Self-hosted servers stream your collection to any device.
Stem separation
Split any track into vocals, drums, bass, and more.
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// selbst ausführen
Führe es selbst aus
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/sfortis/openai_tts.git cd openai_tts - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// anwendungsfälle
Was du damit bauen kannst
- Generate royalty-free background music.
- Separate stems for remixes and karaoke.
- Self-host a personal Spotify alternative.
- Organize and tag a large music collection.
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// häufige fragen
Häufige Fragen
Who maintains openai_tts?
It is an open-source project at sfortis/openai_tts with 54 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Is openai_tts free for commercial use?
GPL-3.0 — free to use, but derivative works must stay open.
What audio quality do self-hosted players support?
FLAC/lossless is standard; transcoding covers mobile bandwidth.
Can I use AI-generated music commercially?
Often yes, but check the model's license and your local rules on AI works.
Can it replace Spotify?
For your own files, yes — discovery and podcasts are the gaps.
// weiter entdecken
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Anleitung ansehen →// alternativen
Alternativen im Bereich KI-Musik
Die anderen Projekte der Kategorie KI-Musik mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls openai_tts nicht das Richtige ist.
- YuE★ 10,8 Tsd.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
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🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!
- ACE-Step★ 5,0 Tsd.
ACE-Step — the open foundation model for music generation: full songs with vocals and lyrics in 19 languages, up to 4 minutes in about 20 seconds, Apache-2.0
- DiffSinger★ 4,9 Tsd.
Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
- Stable Audio Tools★ 3,9 Tsd.
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// mehr in ai-music
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Hol dir openai_tts
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.