# Show HN: A 40MB TTS model hand-ported to run in the browser (TS and WGSL)

> Source: <https://ttslab.dev>
> Published: 2026-11-09 08:08:30+00:00

# Test Speech AI In Your Browser

Test TTS & STT models in your browser. No server. No data collection. Powered by WebGPU.

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[Try it yourself](https://ttslab.dev/models/kokoro-82m)

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## 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](https://ttslab.dev/models/piper-en-us-lessac-medium) 

### 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](https://ttslab.dev/models/speecht5) 

### 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.