Audiblez is a tool for generating high-quality .m4b audiobooks directly from .epub e-books using the Kokoro-82M neural text-to-speech model. It focuses on making audiobook creation easy and fast: from a single command, the tool splits an e-book into chapters, synthesizes audio for each section, and then merges the results into a structured audiobook with chapter-based WAV files and a final .m4b container. The Kokoro-82M model it uses is compact (82M parameters) yet natural sounding, trained on under 100 hours of audio, and supports multiple languages, including English (US/UK), Spanish, French, Hindi, Italian, Japanese, Brazilian Portuguese, and Mandarin Chinese. Audiblez can run entirely from the command line via a PyPI package or through a simple cross-platform GUI built on wxPython, giving both advanced users and non-technical users an accessible workflow.

Features

  • Converts .epub e-books into chaptered .m4b audiobooks using Kokoro-82M TTS
  • Command-line interface with options for voice selection, speed, GPU usage, and output folder
  • Simple GUI (audiblez-ui) built with wxPython for users who prefer a visual interface
  • Multilingual voice support across many Kokoro voices and languages (EN, ES, FR, HI, IT, JA, PT-BR, ZH)
  • Interactive chapter-picking mode to convert only selected sections of a book
  • CPU and CUDA GPU support with performance optimized for both local machines and Colab-style environments

Project Samples

Project Activity

See All Activity >

Categories

Text to Speech

License

MIT License

Follow Audiblez

Audiblez Web Site

Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Audiblez!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Text to Speech Software

Registered

2025-11-28