How to Deploy Supertonic with Docker: A Step-by-Step Tutorial
Learn how to run Supertonic, the on-device multilingual TTS engine, in Docker — from pulling the image to synthesizing your first audio in minutes.
🚀 Want to deploy Supertonic yourself?
Docker configs, system requirements, and installation guides — all on one page.
View Supertonic Tool Page →Prerequisites
Before you start, make sure your machine meets these minimum requirements:
| Resource | Minimum | Recommended |
|---|---|---|
| CPU | 2 cores | 4 cores |
| RAM | 4 GB | 8 GB |
| GPU | None | Optional (accelerates inference) |
Step 1 — Pull the Docker Image
The community image dbodyas/supertonic:latest bundles the ONNX runtime and models. Pull it with:
Step 2 — Run the Container
Start the container and map the port:
Step 3 — Synthesize Your First Speech
Once the container is up, send text via the API:
-H "Content-Type: application/json" \
-d '{"text":"Hello from Supertonic!","language":"en"}'
You will receive an audio response (e.g., WAV or MP3) generated locally in milliseconds — no cloud involved.
Step 4 — Embed in Your App
Supertonic ships official SDKs for Python, Node.js, Rust, C++, Java, C#, Go, Swift, Flutter, and WebGPU. A Python example:
tts = supertonic.Supertonic()
audio = tts.synthesize("Hello world", lang="en")
audio.save("hello.wav")
docker logs supertonic for the "ONNX Runtime loaded" message, and confirm the process stays under 4 GB RAM on the minimum spec.
Wrapping Up
Supertonic gives you production-grade, multilingual TTS with zero cloud dependencies. The full deployment guide, docker-compose configuration, and requirements are available on the tool page.
🚀 Ready to run Supertonic?
Get the Docker setup, requirements, and installation guide in one place.
View Supertonic Tool Page →