Local TTS model

sanoTTS

Q: Can sanoTTS run locally?

sanoTTS is listed by LocalClaw as a local TTS option. Hardware fit depends on runtime, model size and backend support.

Catalogue summary: GPL-3.0 family of tiny neural TTS voices built for offline speech on CPUs, browsers and microcontrollers. The release ships packaged voice weights, GGUF exports, Python and npm runtimes, WebAssembly deployment, and ESP32-S3 guidance, with packaged coverage for English, Vietnamese and Indonesian plus additional browser-hosted voices.

Repository editorial metadata; verify comparative claims in the linked upstream material.

Edge readytext-to-speech generation6 languagesGPL-3.0

Choose an app

Start with Recommended. No terminal commands are shown.

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Open model filesRecommended verified starting point Open in UnslothLaunches Unsloth Desktop on this model Open Python packageVerified package page without exposing a command Open on Hugging FaceFiles, licence and model card Check my machineOptional: verify the fit with your saved hardware

Desktop app links require the app to be installed. If nothing opens, LocalClaw will show app-download and model-file fallbacks.

Catalogue quality

8.3/10

Catalogue speed

9.9/10

Model size

294k-2.27M params; ~0.15 GB repo

Voices

Packaged fixed voices for local synthesis; no voice cloning

Can sanoTTS run locally?

sanoTTS can generate speech locally for private voice workflows. Use the verified setup options on this page; no terminal command is required to choose the right path.

GPL-3.0 license. Review upstream restrictions before commercial use.

Upstream source

realtimemultilinguallow-latencyedge

Audio profile

Cat. quality

8.3

Cat. speed

9.9

Audio

8.8

Best fit

sanoTTS is best for fast on-device voice responses and local assistants.

Hardware: cpuappleedge

Model details

Type

Local TTS model

Family

sanotts

Latency

ultra-low

Formats

ggufwasmnumpy

Languages

en, vi, id, ne, hi, zh

Context

Pure NumPy Python package, sanotts-web browser runtime, self-hostable voice files and ESP32-S3 / Arduino / PlatformIO deployment notes

Install locally

Check runtimeConfirm the backend supports gguf, wasm, numpy on your machine.

Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.

Test locallyRun a short private audio prompt before moving into production workflows.

Good for

text-to-speech generation
Edge ready local workflows
realtime, multilingual, low-latency

Watch before shipping

Validate pronunciation, latency and artifacts with your own voice samples.
Review the upstream license and acceptable-use notes.
Benchmark on your target CPU, Apple Silicon or GPU setup.

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