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IMS-Toucan

DigitalPhonetics/IMS-Toucan

Controllable and fast Text-to-Speech for over 7000 languages

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

58views this month

2.2k stars317 forksLast push Jan 25, 2026 Python Apache-2.0

Decision brief

IMS-Toucan is a text-to-speech toolkit with robust support for over 7000 languages using deep learning techniques.

Good fit when

  • Use IMS-Toucan if your project requires high language coverage, especially in lesser-known or endangered languages.
  • Choose IMS-Toucan when you need to fine-tune text-to-speech models on a specific dataset and are open to installing prerequisites such as espeak-ng for better phoneme handling.

Avoid when

  • Avoid IMS-Toucan if your project only requires support for a few major languages since it may introduce unnecessary complexity.
  • Do not use IMS-Toucan if you cannot meet the setup requirements, including specific Python and library versions as well as potential difficulties in setting up on MACs.
Requirements:
Python version 3.10 is recommended.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (237d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization 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

pip install IMS-Toucan
PyPI

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

A toolkit offering extensive text-to-speech capabilities in multiple languages using deep learning techniques with PyTorch.

Capability facts

Languages
python

Source: github.language · 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 3.10 is the recommended version.
Source link

Tags

README

Installation 🦉 Basic Requirements Python 3.10 is the recommended version. To install this toolkit, clone it onto the machine you want to use it on (should have at least one cuda enabled GPU if you intend to train models on that machine. For inference, you don't need a GPU). If y...

For agents

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

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