Laravel Packages

FluentVox: AI Text-to-Speech for Laravel with Voice Cloning and GPU Acceleration

Published
FluentVox: AI Text-to-Speech for Laravel with Voice Cloning and GPU Acceleration image

FluentVox wraps Resemble AI's Chatterbox text-to-speech engine in a Laravel-style PHP API with companion CLI tooling. It targets production use with automatic hardware detection, model downloads, voice cloning, and multilingual output.

$result = FluentVox::make()
    ->text('Hello, world! This is FluentVox speaking.')
    ->generate();

FluentVox Highlights

  • Fluent, chainable PHP API for text-to-speech
  • Voice cloning from reference audio files
  • Multilingual model with 23+ languages
  • GPU acceleration with CUDA and Apple Metal (MPS)
  • Full CLI for install, doctor, model management, and generation

Fluent PHP API for Chatterbox TTS

The package exposes a Laravel-inspired builder (FluentVox::make()) for configuring text, model selection (standard, turbo, multilingual), pacing, expression, and output settings before generating speech.

Voice Cloning and Multilingual Models

Developers can clone a speaker from a reference audio file or switch to the multilingual model to generate speech in 23+ languages with native pronunciation and intonation.

Hardware-Aware Acceleration

FluentVox auto-detects CUDA, Apple Metal (MPS), or CPU-only environments, selecting the fastest available device.

CLI for Installation and Generation

The bundled vendor/bin/fluentvox commands handle Python dependency setup, model downloads, environment diagnostics, and one-off audio generation or conversion.

Configurable Output and Conversion

You can set default sample rates, destinations, formats (WAV, MP3, M4A, OGG, Opus, FLAC), and convert generated audio with FFmpeg-powered helpers.

You can install this package via Composer:

composer require b7s/fluentvox
vendor/bin/fluentvox install

FluentVox requires PHP 8.3+, Python 3.10+, and benefits from CUDA or Apple Metal (MPS) when available. Use vendor/bin/fluentvox doctor to confirm system compatibility, installed models, and available devices.

💻 You can get started with this package on GitHub: b7s/fluentvox

Paul Redmond photo

Staff writer at Laravel News. Full stack web developer and author.

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