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silero-models

snakers4/silero-models

Silero Models provide simple access to pre-trained text-to-speech models

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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6.1k stars373 forksLast push Jul 31, 2026 Jupyter Notebook Other

Decision brief

Provides simple access to pre-trained text-to-speech models for various languages via PyTorch Hub, pip installation, and manual caching.

Good fit when

  • Need easy integration of text-to-speech functionalities in Jupyter Notebooks
  • Focus on supporting lesser-covered languages like Armenian or Azerbaijanian

Avoid when

  • Require advanced customization of the speech synthesis process beyond provided options
  • Looking for a full end-to-end speech recognition (speech-to-text) solution, as this mainly focuses on text-to-speech

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Steady (50d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
No criticals
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/snakers4/silero-models

Similar 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

This repository offers pre-trained text-to-speech models for various languages via PyTorch Hub, pip installation, and manual caching methods.

Capability facts

Languages
jupyter notebook, python

Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

```python from silero import silero_tts
Source link

Tags

README

Installation and Basics You can basically use our models in 3 flavours: Via PyTorch Hub: ; Via pip: and then ; 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 ma...

For agents

This page has a .md twin and JSON over the API.

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