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rayraylalonde-sys/ab_studio

Analysis updated 2026-05-18

0PythonAudience · generalComplexity · 2/5LicenseSetup · moderate

TLDR

A two-step Windows tool that converts a book manuscript into a finished audiobook, cleaning the text first and then generating WAV audio using Microsoft Azure's neural text-to-speech voices.

Mindmap

mindmap
  root((AB_Studio))
    What it does
      Cleans manuscript text
      Splits into chapters
      Renders audiobook WAVs
    Tech stack
      Python
      Azure Speech Services
      Pandoc
      PyInstaller
    Use cases
      Self-publish audiobooks
      Clean manuscript text
      Preview narration
    Audience
      Authors
      Hobbyist creators

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What do people build with it?

USE CASE 1

Convert a self-written book manuscript into a full audiobook without hiring a narrator.

USE CASE 2

Clean up messy manuscript text so it reads naturally through text-to-speech.

USE CASE 3

Generate consistent chapter-by-chapter WAV audio files for an audiobook project.

USE CASE 4

Preview how a chapter will sound before committing to a full-length render.

What is it built with?

PythonAzure Speech ServicesPandocPyInstaller

How does it compare?

rayraylalonde-sys/ab_studio0xallam/my-recipe0xhassaan/nn-from-scratch
Stars00
LanguagePythonPythonPython
Last pushed2022-11-22
MaintenanceDormant
Setup difficultymoderatemoderatemoderate
Complexity2/52/54/5
Audiencegeneralgeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires a free Azure Speech Services account and, for ODT or EPUB input, a separate Pandoc install.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

AB_Studio is a two step Windows tool for turning a written book into a finished audiobook using Microsoft Azure's text to speech service, specifically its Dragon HD Neural voices. It works on ODT, EPUB, or plain text files, and the whole process runs as standalone Windows programs, so no Python installation is needed just to use them. The first stage is a program called TTS Optimizer. It takes a manuscript and splits it into one text file per chapter, while also cleaning up the text in ways that prevent common speech synthesis problems: it removes image references, converts dashes to commas since the voice engine reads them poorly, strips section dividers, removes back matter like tables of contents, fixes stray capitalized words, and smooths out punctuation spacing issues that would otherwise cause audible stutters. A user can also list specific character names so the tool applies a comma fix around them for more natural sounding dialogue. The second stage is AB Studio itself, which sends the cleaned chapter files to Azure and saves the results as WAV audio files, automatically splitting and stitching together long texts as needed. A user picks a voice, adjusts speaking rate, pitch, and pause lengths, chooses an output format, and can preview a short clip before rendering the full file. Each output WAV file is ready to use directly in an audiobook project. Using this requires a free or paid Microsoft Azure Speech Services account, since the actual voice generation happens through Azure rather than locally. The free tier includes 500,000 characters of speech per month, and the tool itself does not track how much of that has been used, so a user needs to check their Azure account for that. Processing ODT or EPUB files also requires installing a separate free tool called Pandoc. Building the programs from source requires Python 3.10 or newer. The project is released under the MIT license, so it can be used freely, including for commercial purposes.

Copy-paste prompts

Prompt 1
Walk me through setting up an Azure Speech Services key so I can use AB_Studio.
Prompt 2
Help me understand what text fixes the TTS Optimizer applies to my manuscript before rendering.
Prompt 3
Explain how to install Pandoc so I can process my EPUB file with this tool.
Prompt 4
Show me how to estimate whether my manuscript fits within the Azure free tier's 500,000 character limit.

Frequently asked questions

What is ab_studio?

A two-step Windows tool that converts a book manuscript into a finished audiobook, cleaning the text first and then generating WAV audio using Microsoft Azure's neural text-to-speech voices.

What language is ab_studio written in?

Mainly Python. The stack also includes Python, Azure Speech Services, Pandoc.

What license does ab_studio use?

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

How hard is ab_studio to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is ab_studio for?

Mainly general.

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