Test TTS & STT models in your browser. No server. No data collection. Powered by WebGPU.
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Stay in the loop #
Subscribe for the latest news on voice AI and text-to-speech — new models, features, and benchmarks.
Featured Models #
[View all](https://ttslab.dev/models)
[TTS080 MB82M params21 voicesWebGPUWASMTry it](https://ttslab.dev/models/kokoro-82m)
Kokoro 82M
High-quality TTS with 21 voices. Best quality-to-size ratio for browser inference. Supports streaming generation.
TTS075 MB50M params1 voiceWASMTry it
Piper EN-US Lessac Medium
Fast, lightweight TTS using the VITS architecture. Part of the Piper project with 904+ voices across languages.
TTS060 MB60M params1 voiceWebGPUWASMTry it
SpeechT5
Microsoft's unified-modal SpeechT5 model. Lightweight and CPU-sufficient for basic TTS needs.
[STT035 MB27M paramsWebGPUWASMTry it](https://ttslab.dev/models/moonshine-tiny-ko)
### Moonshine Tiny (Korean)
Moonshine Tiny fine-tuned for Korean. Specialized single-language model for higher accuracy than multilingual alternatives.
Voice Agent #
Talk to an AI assistant running entirely in your browser.
[Try it](https://ttslab.dev/voice-agent)
## Text-to-Speech in the Browser
TTSLab lets you run text-to-speech models directly in your browser using WebGPU and WASM. No server-side processing, no API keys, no queue times. Models like Kokoro 82M, SpeechT5, and Piper generate natural-sounding speech in real time, right on your device.
Each model is downloaded once and cached locally for instant reuse. Whether you are a developer evaluating TTS options, a researcher benchmarking model quality, or a product team comparing voices, TTSLab provides a fast, standardized environment.
Why On-Device Speech AI Matters #
Cloud-based TTS services require sending your text to external servers. For sensitive content — medical notes, legal documents, personal messages — that creates privacy and compliance risks. On-device inference eliminates this entirely: your text and audio never leave your browser.
WebGPU-accelerated inference also removes latency from network round trips, making real-time applications like voice agents and live captioning practical without a backend.
How It Works #
Pick a Model
Browse our directory of TTS and STT models, or compare two side by side.
Downloads Once
The model weights are downloaded to your browser and cached locally for instant reuse.
Runs Locally
Inference runs entirely in your browser using WebGPU or WASM. No server required.
Data Stays Private
Your text and audio never leave your device. Zero data collection, zero tracking.
Open Source #
TTSLab is MIT licensed and fully open source. Contribute models, report bugs, or build on top of the project.