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tts-stt6,143Other

silero-models

Silero Models: pre-trained text-to-speech models made embarrassingly simple

Updated Oct 24, 2026
GitHub Docs
Platforms
Pricing
free-open-source
Status
active
License
Other

What it does

Core capabilities at a glance

  • Armenian
  • Azerbaijani
  • Belarus
  • Colab
  • Georgian
  • Kazakh
  • Kyrgyz
  • Pretrained Models

Deep dive

The full breakdown - performance, comparisons, and setup

silero-models

silero-models is a speech (TTS/STT) tool - Silero Models: pre-trained text-to-speech models made embarrassingly simple.

Overview

  • Via PyTorch Hub: 'torch.hub.load()'; - Via pip: 'pip install silero' and then 'from silero import silero_tts'; - Via caching the required models and utils manually and modifying if necessary;

Models are downloaded on demand both by pip and PyTorch Hub. If you need caching, do it manually or via invoking a necessary model once (it will be downloaded to a cache folder). Please see these docs for more information.

PyTorch Hub and pip package are based on the same code. All of the 'torch.hub.load' examples can be used with the pip package via this basic change:

All of the provided models are listed in the models.yml file. Any metadata and newer versions will be added there.

V5 models support SSML. Also see Colab examples for main SSML tag usage.

Russian-only models support automated stress and homographs. 'v5_2_ru' cointains minor fixes and removes numpy and scipy dependencies.

'v5_3_ru' cointains minor fixes. 'v5_4_ru' also supports questions.

silero-models is open-source, written primarily in Jupyter Notebook, with 6,143 GitHub stars under the Other license. The latest release is v5.6 (2026-06-04).

Key capabilities

From the project's documentation:

  • V5 CIS Base Models
  • V5 CIS Ext Models
  • Large library of voices;
  • One-line usage, minimal, portable;
  • Impressively fast on CPU and GPU;
  • For the Russian language - automated stress and homographs;

Install

A quick way to get started (always check the official docs for the latest):

pip install silero

How it fits a local-AI stack

silero-models runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related speech (TTS/STT) tools in the directory:

Sources

Stats from GitHub, 2026-10-24.

Frequently asked

Quick answers to common questions

What is silero-models?

silero-models is a tts-stt tool for local AI workloads. Silero Models: pre-trained text-to-speech models made embarrassingly simple

Is silero-models free and open source?

Yes, silero-models has 6,143 GitHub stars and is licensed under Other. You can self-host it for free on .

What hardware do I need for silero-models?

The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. silero-models has 6,143 GitHub stars and an active community.

Does silero-models support GPU acceleration?

silero-models's GPU support depends on your specific setup. Check the documentation for details. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.

What are the best alternatives to silero-models?

Popular alternatives include other tts-stt tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.

How much does silero-models cost?

silero-models is free-open-source. It is completely free and open source to self-host.

Pairs well with

Complementary tools, models, and hardware