Audio
Qwen3-TTS
Alibaba's open voice models: expressive, streaming-capable speech with free-form voice design.
★ 13,6 Tsd. SterneApache-2.0
Anleitung ansehen →
// projektdaten
Projektdaten
- Repository
- remsky/Kokoro-FastAPI
- GitHub-Sterne
- 5.511
- Forks
- 908
- Lizenz
- Apache-2.0
- Zuletzt auf GitHub aktualisiert
- 1. Oktober 2026
- Kategorie
- Audio
- Eintragstyp
- Vollständige Installationsanleitung
- Offizielle Website
- Try the live demo
// so funktioniert es
So funktioniert es
- Run one Docker command
Pull a prebuilt image with the model baked in — CPU, NVIDIA GPU, ARM, and AMD variants exist. The server starts on port 8880.
- Point your client at it
Anything written for OpenAI's /v1/audio/speech endpoint works unchanged — just change the base URL to localhost:8880.
- Pick voices and languages
Choose from built-in voices, blend several into a mix, or generate a custom voicepack with the clone tuner.
- Generate with extras
Request SSML for fine control, or ask for per-word timestamps to build read-along experiences and captions.
// funktionen
Warum es so beliebt ist
OpenAI-compatible API
A drop-in /v1/audio/speech endpoint — swap the URL in existing apps and keep your code.
Eight languages
English (US/GB), Spanish, French, Hindi, Italian, Japanese, Brazilian Portuguese, and Mandarin Chinese.
Voice mixing & cloning
Blend voices with weighted combinations or tune custom voicepacks from samples.
SSML + phonemes
Fine-grained pronunciation control, plus endpoints to generate phonemes from text and back.
Timestamped captions
Per-word or per-chunk captions for read-along UIs, subtitles, and karaoke-style apps.
Runs anywhere
Prebuilt images for CPU, NVIDIA, ARM, and AMD GPUs — plus Apple Silicon support when run directly.
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// selbst ausführen
Führe es selbst aus
- Step 1 — CPU (laptops, servers)
Start the CPU image; the model is baked in, so there is nothing else to download.
docker run -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-cpu:latest - Step 2 — NVIDIA GPU
Use the GPU image instead for much faster synthesis.
docker run --gpus all -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-gpu:latest - Step 3 — Speak
POST to the OpenAI-style endpoint, e.g. http://localhost:8880/v1/audio/speech, with your text and voice choice.
// anwendungsfälle
Was du damit bauen kannst
- Narrate audiobooks from EPUBs and PDFs.
- Voiceovers for videos and explainers.
- A self-hosted TTS backend for your app or assistant.
- Accessibility readers and read-along learning tools.
Readers working through the Audio shelf also stop at TeroSubtitler, Free, cross-platform subtitle editor with AI transcription tools. SayIt opens source voice typing for Windows — a Wispr Flow / Superwhisper alternative. The Audio shelf also holds Parrot — Meeting recorder designed for your Mac with a live AI copilot.
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// häufige fragen
Häufige Fragen
Is it free?
Yes — Apache-2.0 licensed and self-hosted. You pay nothing per character, unlike cloud TTS APIs.
How good is the quality?
Kokoro-82M is famous for punching far above its 82-million-parameter weight, with remarkably natural prosody for its size.
Which languages are supported?
Eight: English (US and GB), Spanish, French, Hindi, Italian, Japanese, Brazilian Portuguese, and Mandarin Chinese.
Kokoro-FastAPI or Qwen3-TTS?
Kokoro-FastAPI is lighter, faster, and dead simple via Docker. Qwen3-TTS offers larger, more expressive Alibaba models with streaming — pick by your quality-vs-speed tradeoff.
Can I use it commercially?
Yes — the Apache-2.0 license permits commercial use.
// weiter entdecken
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Anleitung ansehen →// alternativen
Alternativen im Bereich Audio
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls Kokoro-FastAPI nicht das Richtige ist.
- MoneyPrinterTurbo★ 128,3 Tsd.
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.
- Whisper★ 109,9 Tsd.
Robust Speech Recognition via Large-Scale Weak Supervision
- GPT-SoVITS★ 62,3 Tsd.
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
- Real-Time-Voice-Cloning★ 60,2 Tsd.
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
- whisper.cpp★ 54,1 Tsd.
Port of OpenAI's Whisper model in C/C++
// mehr in audio
Mehr in Audio
Verwandte Projekte der Kategorie Audio im Katalog, die Kokoro-FastAPI bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
- YouDub-webui★ 5,6 Tsd.
Open-source AI video localization and dubbing for YouTube/Bilibili: speech recognition, subtitle translation, voice cloning, audio mixing and rendering. 开源 A…
- fastrtc★ 4,6 Tsd.
FastRTC turns any Python function into a real-time audio or video stream over WebRTC or WebSockets
- whisper-diarization★ 5,7 Tsd.
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
- MOSS-TTS-Nano★ 4,5 Tsd.
MOSS-TTS-Nano: a 0.1B open multilingual speech model that clones voices and streams in real time on CPU
- Piper★ 5,7 Tsd.
Fast and local neural text-to-speech engine
- WhisperLive★ 4,3 Tsd.
WhisperLive: a nearly-live OpenAI Whisper transcription server for files, mics, and streams
Hol dir Kokoro-FastAPI
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.