Analysis updated 2026-05-18
Convert a text, EPUB, or PDF file into a fully narrated audiobook with chapters
Produce a scripted multi-character dialogue scene with different voices per line
Export a finished audiobook as an M4B file with chapter markers and cover art
Run a temporary live text-to-speech API server for testing
| fawzan09/-supertonic-3-tts-audiobook-studio | 00kaku/gallery-slider-block | 04amanrajj/netwatch | |
|---|---|---|---|
| Stars | 0 | — | 0 |
| Language | — | JavaScript | Rust |
| Last pushed | — | 2021-05-19 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | easy | easy | moderate |
| Complexity | 2/5 | 2/5 | 3/5 |
| Audience | general | general | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Only needs a free Google account, no GPU required since the model runs on CPU inside Colab.
This project is a no-code Google Colab notebook that wraps Supertonic 3, an open-weight text-to-speech model from Supertone Inc, into a full audio production studio you operate entirely through point-and-click forms, with no code editing needed. It is an independent, unofficial notebook and is not made or endorsed by Supertone Inc. The notebook is organized into fifteen numbered cells, each handling one task. After a one time setup cell that installs everything and downloads the roughly 400 megabyte model, you get simple text-to-speech generation, a way to preview every built-in voice, an experimental tool that blends two voices together, and a text cleanup step that accepts PDF or plain text files and strips out page numbers, repeated headers, and broken line wraps. The core feature is an audiobook generator that turns a text, EPUB, or PDF file into fully narrated audio split by chapter, with subtitles, and a separate cell can package those chapters into a real M4B audiobook file with chapter markers and cover art, playable in apps like Apple Books. Other cells handle scripted multi-voice dialogue scenes, batch converting a folder of text files, loudness normalizing the audio to broadcast standards, mixing in intro and outro music, and even running Supertonic as a live API server with an optional public web address. Getting started only requires a free Google account and no GPU, since the underlying model is designed to run on a CPU. You simply open the notebook in Colab, run the setup cell, then fill in each form and press run. Output files are saved automatically and offered as downloads. For a closer voice match than the built in options, the author points to a separate companion tool that trains a custom voice from a longer reference recording, sold as a one time purchase, though it is optional and not required to use this notebook. The notebook itself is built on Supertonic's reference code, released under the MIT License, while the model weights use a separate OpenRAIL-M license that allows commercial use but restricts harmful use and non-consensual voice impersonation, with an attribution requirement.
A no-code Google Colab notebook that turns the open-weight Supertonic 3 text-to-speech model into a point-and-click audiobook and podcast production studio.
The notebook's own code is MIT licensed and free to reuse, but the underlying voice model uses a separate OpenRAIL license that allows commercial use while banning harmful or non-consensual voice impersonation.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.