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Decision brief
A comprehensive TypeScript-based Gradio + React UI for multiple text-to-speech systems.
Good fit when
- - When you need an integrated interface that supports a wide range of TTS engines like ACE-Step, OmniVoice, Kimi Audio, and more.
- - For projects requiring the flexibility to switch between different TTS models from one interface without changing setups.
Avoid when
- - If your project strictly requires cutting-edge models that are not yet integrated into TTS-WebUI's supported systems.
- - When you require a platform that natively supports Python 3.12, as it is currently unsupported by this tool.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- 20 low (20 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install TTS-WebUI npmSimilar 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
rsxdalv/TTS-WebUI develops and provides a Gradio + React-based user interface with support for numerous text-to-speech engines, including ACE-Step, OmniVoice, Kimi Audio, among others.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 29, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 29, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 29, 2026
- Languages
- typescript, python
Source: github.language+pyproject.toml · Jul 29, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 29, 2026)
* (Optional) NodeJS 22.9.0 for React UISource link
Source: README excerpt (regex_v1, Jul 29, 2026)
* Python 3.10 or 3.11 (3.12 not supported yet)Source link
Tags
README
Manual installation
Prerequisites:
- git
- Python 3.10 or 3.11 (3.12 not supported yet)
- PyTorch
- ffmpeg (with vorbis support)
- (Optional) NodeJS 22.9.0 for React UI
- SQLite (bundled with Python) for database support
-
Clone the repository:
git clone https://github.com/rsxdalv/tts-webui.git cd tts-webui -
Install required packages:
pip install -r requirements.txt -
Run the server:
python server.py --no-react -
For React UI:
cd react-ui npm install npm run build cd .. python server.py
For detailed manual installation instructions, please refer to the Manual Installation Guide.
Docker Setup
tts-webui can also be ran inside of a Docker container. Using CUDA inside of docker requires NVIDIA Container Toolkit. To get started, pull the image from GitHub Container Registry:
docker pull ghcr.io/rsxdalv/tts-webui:main
Once the image has been pulled it can be started with Docker Compose: The ports are 7770 (env:TTS_PORT) for the Gradio backend and 3000 (env:UI_PORT) for the React front end.
docker compose up -d
The container will take some time to generate the first output while models are downloaded in the background. The status of this download can be verified by checking the container logs:
docker logs tts-webui
Building the image yourself
If you wish to build your own docker container, you can use the included Dockerfile:
docker build -t tts-webui .
Please note that the docker-compose needs to be edited to use the image you just built.
For agents
This page has a .md twin and JSON over the API.