Kokoro TTS

Kokoro TTS

latest

Category: AI & Machine Learning

#ai#self-hosted#docker#kokorotts
Deploy with tug.shWebsiteGitHubDocs

Overview

Dockerized FastAPI wrapper for the Kokoro-82M text-to-speech model with multi-language support and OpenAI-compatible endpoints.

Primary Use Cases

1

Run private, self-hosted AI models and inference pipelines for Kokoro TTS without sending data to third-party clouds.

2

Integrate with local LLM runners (Ollama, vLLM) and OpenAI-compatible API endpoints.

3

Build custom agentic workflows, document retrieval systems (RAG), and embeddings pipelines.

Key Features

  • Hardware acceleration support for CPU and GPU container workloads
  • Vector database compatibility for semantic search and knowledge bases
  • Modern web UI with multi-user access and API key management
  • 1-click Docker deployment with automated HTTPS reverse proxy in tug.sh

Container Specification

Docker Image

kokoro-tts:latest

Default Version

latest

SSL & Domain Routing

Automated Let's Encrypt (Caddy / Traefik)

Persistent Volumes

Managed host volume mounts

How to Deploy Kokoro TTS with tug.sh

1

Connect your Linux server

Run the 1-line tug.sh agent install command on any Ubuntu, Debian, or Rocky Linux VPS.

2

Select Kokoro TTS from the Marketplace

Pick your domain name, configure custom environment variables if needed, and choose your persistent storage folder.

3

Click Deploy & Go Live

tug.sh pulls the container, sets up HTTPS certificates, configures the reverse proxy, and boots the service in under 60 seconds.

Deploy on Your Server

Experience effortless self-hosting. Deploy Kokoro TTS on Hetzner, DigitalOcean, or your home lab with zero maintenance headaches.

Join Waitlist to DeployView Setup Documentation
LicenseOpen Source
Platform Cost100% Free for 1st VPS
CategoryAI & Machine Learning
Resources
Official WebsiteSource CodeDocumentation

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