GraphCanon updated 3w · GitHub synced 3w
Decision brief
Supertonic provides fast multilingual TTS on-device using ONNX runtime, native to Swift with wide language support.
Good fit when
- When deploying text-to-speech functionality requires swift performance on-device in multiple languages
- For projects that need native Swift integration for iOS applications
Avoid when
- If the application is multilingual but does not require on-device processing capabilities
- For teams preferring a different primary development language other than Swift or those lacking familiarity with ONNX implementation details
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (5d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/supertone-inc/supertonicSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Supertonic offers fast on-device text-to-speech services multilingually using ONNX runtime.
Capability facts
- Languages
- swift
Source: github.language · Jul 29, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 29, 2026)
Install the Python SDK and generate speech immediately. On the first run, Supertonic downloads theSource link
Tags
README
Quick Start
Install the Python SDK and generate speech immediately. On the first run, Supertonic downloads the model assets from Hugging Face automatically.
pip install supertonic
Getting Started
First, clone the repository:
git clone https://github.com/supertone-inc/supertonic.git
cd supertonic
License
This project's sample code is released under the MIT License. - see the LICENSE for details.
The accompanying model is released under the OpenRAIL-M License. - see the LICENSE file for details.
This model was trained using PyTorch, which is licensed under the BSD 3-Clause License but is not redistributed with this project. - see the LICENSE for details.
Copyright (c) 2026 Supertone Inc.
For agents
This page has a .md twin and JSON over the API.