Chatterbox - AI Audio Tools Tool

Overview

Chatterbox is an open-source text-to-speech (TTS) project from Resemble AI that focuses on producing natural-sounding audio while embedding imperceptible neural watermarks to secure generated speech. The project targets use cases where provenance and traceability of synthetic audio matter — for example, media production, customer-service voice agents, and compliance-sensitive deployments. According to the GitHub repository, Chatterbox is released under the MIT license and has a substantial community footprint, with 21,069 stars and 2,739 forks as of the repository snapshot. The codebase bundles TTS synthesis components alongside watermark embedding and detection tooling, example integrations, and developer-oriented SDKs and demos. The project shows active maintenance: the repository lists 12 contributors and the most recent commit recorded on 2025-12-15. Its focus on imperceptible neural watermarks distinguishes Chatterbox from generic TTS libraries by providing both generation and verification flows to help reliably label and detect synthetic audio.

GitHub Statistics

• Stars: 21,069
• Forks: 2,739
• Contributors: 12
• License: MIT
• Primary Language: Python
• Last Updated: 2025-12-15T16:57:31Z
• Latest Release: v0.1.2

Repository metrics indicate strong community interest (21,069 stars, 2,739 forks) and an open-source MIT license that encourages reuse. The contributor count is modest (12), suggesting a small core team driving development with wider community engagement via stars/forks. The most recent commit (2025-12-15) demonstrates ongoing maintenance. Overall community health looks positive for adoption and evaluation, though the smaller contributor base implies active stewardship primarily by the maintainers rather than a large, distributed contributor community.

Installation

Install via pip:

git clone https://github.com/resemble-ai/chatterbox.git

cd chatterbox

pip install -e .

OR: pip install git+https://github.com/resemble-ai/chatterbox.git

Key Features

• Imperceptible neural watermarking embeds traceable signals into generated audio.
• Text-to-speech synthesis produces natural, expressive voice outputs.
• Watermark detection tools verify audio provenance and detect synthetic content.
• Example integrations and SDKs for quick prototyping and embedding into pipelines.
• MIT license for unrestricted commercial and research use.

Community

Chatterbox enjoys strong visibility (21k+ stars) and a healthy fork count, indicating broad interest. The project has a small core of contributors (12) and active maintenance (last commit 2025-12-15). Expect good issue/PR responsiveness from maintainers, but a smaller contributor pool than larger OSS projects.

Key Information

• Category: Audio Tools
• Type: AI Audio Tools Tool