EPUB to Audiobook Converter

Notice

This custom fork of this project creates a very basic web app to deploy on a docker server using Flask.

Do not not make this web app public, as it is not secure.

By default, the web app will run on port 5000, save audio books and ebooks to the /books folder, and use the Edge TTS model.

If you would like a web app that fixes these limitations, please open an issue. Most of these modifications are hard coded to my use.

To try it out, build the docker image and deploy it.

Join our Discord server for any questions or discussions.

This project provides a command-line tool to convert EPUB ebooks into audiobooks. It now supports both the Microsoft Azure Text-to-Speech API (alternativly EdgeTTS) and the OpenAI Text-to-Speech API to generate the audio for each chapter in the ebook. The output audio files are optimized for use with Audiobookshelf.

This project is developed with the help of ChatGPT.

Audio Sample

If you're interested in hearing a sample of the audiobook generated by this tool, check the links bellow.

Azure TTS Sample
OpenAI TTS Sample
Edge TTS Sample: the voice is almost the same as Azure TTS
Piper TTS

Requirements

Python 3.6+ Or Docker
For using Azure TTS, A Microsoft Azure account with access to the Microsoft Cognitive Services Speech Services is required.
For using OpenAI TTS, OpenAI API Key is required.
For using Edge TTS, no API Key is required.
Piper TTS executable and models for Piper TTS

Audiobookshelf Integration

The audiobooks generated by this project are optimized for use with Audiobookshelf. Each chapter in the EPUB file is converted into a separate MP3 file, with the chapter title extracted and included as metadata.

Chapter Titles

Parsing and extracting chapter titles from EPUB files can be challenging, as the format and structure may vary significantly between different ebooks. The script employs a simple but effective method for extracting chapter titles, which works for most EPUB files. The method involves parsing the EPUB file and looking for the title tag in the HTML content of each chapter. If the title tag is not present, a fallback title is generated using the first few words of the chapter text.

Please note that this approach may not work perfectly for all EPUB files, especially those with complex or unusual formatting. However, in most cases, it provides a reliable way to extract chapter titles for use in Audiobookshelf.

When you import the generated MP3 files into Audiobookshelf, the chapter titles will be displayed, making it easy to navigate between chapters and enhancing your listening experience.

Installation

Clone this repository:

git clone https://github.com/p0n1/epub_to_audiobook.git
cd epub_to_audiobook

Create a virtual environment and activate it:

python3 -m venv venv
source venv/bin/activate

Install the required dependencies:
```
pip install -r requirements.txt
```

Set the following environment variables with your Azure Text-to-Speech API credentials, or your OpenAI API key if you're using OpenAI TTS:

export MS_TTS_KEY=<your_subscription_key> # for Azure
export MS_TTS_REGION=<your_region> # for Azure
export OPENAI_API_KEY=<your_openai_api_key> # for OpenAI

Usage

To convert an EPUB ebook to an audiobook, run the following command, specifying the TTS provider of your choice with the --tts option:

python3 main.py <input_file> <output_folder> [options]

To check the latest option descriptions for this script, you can run the following command in the terminal:

python3 main.py -h

usage: main.py [-h] [--tts {azure,openai,edge,piper}]
               [--log {DEBUG,INFO,WARNING,ERROR,CRITICAL}] [--preview]
               [--no_prompt] [--language LANGUAGE]
               [--newline_mode {single,double,none}]
               [--title_mode {auto,tag_text,first_few}]
               [--chapter_start CHAPTER_START] [--chapter_end CHAPTER_END]
               [--output_text] [--remove_endnotes]
               [--search_and_replace_file SEARCH_AND_REPLACE_FILE]
               [--voice_name VOICE_NAME] [--output_format OUTPUT_FORMAT]
               [--model_name MODEL_NAME] [--voice_rate VOICE_RATE]
               [--voice_volume VOICE_VOLUME] [--voice_pitch VOICE_PITCH]
               [--proxy PROXY] [--break_duration BREAK_DURATION]
               [--piper_path PIPER_PATH] [--piper_speaker PIPER_SPEAKER]
               [--piper_sentence_silence PIPER_SENTENCE_SILENCE]
               [--piper_length_scale PIPER_LENGTH_SCALE]
               input_file output_folder

Convert text book to audiobook

positional arguments:
  input_file            Path to the EPUB file
  output_folder         Path to the output folder

options:
  -h, --help            show this help message and exit
  --tts {azure,openai,edge,piper}
                        Choose TTS provider (default: azure). azure: Azure
                        Cognitive Services, openai: OpenAI TTS API. When using
                        azure, environment variables MS_TTS_KEY and
                        MS_TTS_REGION must be set. When using openai,
                        environment variable OPENAI_API_KEY must be set.
  --log {DEBUG,INFO,WARNING,ERROR,CRITICAL}
                        Log level (default: INFO), can be DEBUG, INFO,
                        WARNING, ERROR, CRITICAL
  --preview             Enable preview mode. In preview mode, the script will
                        not convert the text to speech. Instead, it will print
                        the chapter index, titles, and character counts.
  --no_prompt           Don't ask the user if they wish to continue after
                        estimating the cloud cost for TTS. Useful for
                        scripting.
  --language LANGUAGE   Language for the text-to-speech service (default: en-
                        US). For Azure TTS (--tts=azure), check
                        https://learn.microsoft.com/en-us/azure/ai-
                        services/speech-service/language-
                        support?tabs=tts#text-to-speech for supported
                        languages. For OpenAI TTS (--tts=openai), their API
                        detects the language automatically. But setting this
                        will also help on splitting the text into chunks with
                        different strategies in this tool, especially for
                        Chinese characters. For Chinese books, use zh-CN, zh-
                        TW, or zh-HK.
  --newline_mode {single,double,none}
                        Choose the mode of detecting new paragraphs: 'single',
                        'double', or 'none'. 'single' means a single newline
                        character, while 'double' means two consecutive
                        newline characters. 'none' means all newline
                        characters will be replace with blank so paragraphs
                        will not be detected. (default: double, works for most
                        ebooks but will detect less paragraphs for some
                        ebooks)
  --title_mode {auto,tag_text,first_few}
                        Choose the parse mode for chapter title, 'tag_text'
                        search 'title','h1','h2','h3' tag for title,
                        'first_few' set first 60 characters as title, 'auto'
                        auto apply the best mode for current chapter.
  --chapter_start CHAPTER_START
                        Chapter start index (default: 1, starting from 1)
  --chapter_end CHAPTER_END
                        Chapter end index (default: -1, meaning to the last
                        chapter)
  --output_text         Enable Output Text. This will export a plain text file
                        for each chapter specified and write the files to the
                        output folder specified.
  --remove_endnotes     This will remove endnote numbers from the end or
                        middle of sentences. This is useful for academic
                        books.
  --search_and_replace_file SEARCH_AND_REPLACE_FILE
                        Path to a file that contains 1 regex replace per line,
                        to help with fixing pronunciations, etc. The format
                        is: <search>==<replace> Note that you may have to
                        specify word boundaries, to avoid replacing parts of
                        words.
  --voice_name VOICE_NAME
                        Various TTS providers has different voice names, look
                        up for your provider settings.
  --output_format OUTPUT_FORMAT
                        Output format for the text-to-speech service.
                        Supported format depends on selected TTS provider
  --model_name MODEL_NAME
                        Various TTS providers has different neural model names

edge specific:
  --voice_rate VOICE_RATE
                        Speaking rate of the text. Valid relative values range
                        from -50%(--xxx='-50%') to +100%. For negative value
                        use format --arg=value,
  --voice_volume VOICE_VOLUME
                        Volume level of the speaking voice. Valid relative
                        values floor to -100%. For negative value use format
                        --arg=value,
  --voice_pitch VOICE_PITCH
                        Baseline pitch for the text.Valid relative values like
                        -80Hz,+50Hz, pitch changes should be within 0.5 to 1.5
                        times the original audio. For negative value use
                        format --arg=value,
  --proxy PROXY         Proxy server for the TTS provider. Format:
                        http://[username:password@]proxy.server:port

azure/edge specific:
  --break_duration BREAK_DURATION
                        Break duration in milliseconds for the different
                        paragraphs or sections (default: 1250, means 1.25 s).
                        Valid values range from 0 to 5000 milliseconds for
                        Azure TTS.

piper specific:
  --piper_path PIPER_PATH
                        Path to the Piper TTS executable
  --piper_speaker PIPER_SPEAKER
                        Piper speaker id, used for multi-speaker models
  --piper_sentence_silence PIPER_SENTENCE_SILENCE
                        Seconds of silence after each sentence
  --piper_length_scale PIPER_LENGTH_SCALE
                        Phoneme length, a.k.a. speaking rate

Example:

python3 main.py examples/The_Life_and_Adventures_of_Robinson_Crusoe.epub output_folder

Executing the above command will generate a directory named output_folder and save the MP3 files for each chapter inside it using default TTS provider and voice. Once generated, you can import these audio files into Audiobookshelf or play them with any audio player of your choice.

Preview Mode

Before converting your epub file to an audiobook, you can use the --preview option to get a summary of each chapter. This will provide you with the character count of each chapter and the total count, instead of converting the text to speech.

Example:

python3 main.py examples/The_Life_and_Adventures_of_Robinson_Crusoe.epub output_folder --preview

Search & Replace

You may want to search and replace text, either to expand abbreviations, or to help with pronunciation. You can do this by specifying a search and replace file, which contains a single regex search and replace per line, separated by '==':

Example:

search.conf:

# this is the general structure
<search>==<replace>
# this is a comment
# fix cardinal direction abbreviations
N\.E\.==north east
# be careful with your regexes, as this would also match Sally N. Smith
N\.==north
# pronounce Barbadoes like the locals
Barbadoes==Barbayduss

python3 main.py examples/The_Life_and_Adventures_of_Robinson_Crusoe.epub output_folder --search_and_replace_file search.conf

Example:

python3 main.py examples/The_Life_and_Adventures_of_Robinson_Crusoe.epub output_folder --preview

Using with Docker

This tool is available as a Docker image, making it easy to run without needing to manage Python dependencies.

First, make sure you have Docker installed on your system.

You can pull the Docker image from the GitHub Container Registry:

docker pull ghcr.io/p0n1/epub_to_audiobook:latest

Then, you can run the tool with the following command:

docker run -i -t --rm -v ./:/app -e MS_TTS_KEY=$MS_TTS_KEY -e MS_TTS_REGION=$MS_TTS_REGION ghcr.io/p0n1/epub_to_audiobook your_book.epub audiobook_output --tts azure

For OpenAI, you can run:

docker run -i -t --rm -v ./:/app -e OPENAI_API_KEY=$OPENAI_API_KEY ghcr.io/p0n1/epub_to_audiobook your_book.epub audiobook_output --tts openai

Replace $MS_TTS_KEY and $MS_TTS_REGION with your Azure Text-to-Speech API credentials. Replace $OPENAI_API_KEY with your OpenAI API key. Replace your_book.epub with the name of the input EPUB file, and audiobook_output with the name of the directory where you want to save the output files.

The -v ./:/app option mounts the current directory (.) to the /app directory in the Docker container. This allows the tool to read the input file and write the output files to your local file system.

The -i and -t options are required to enable interactive mode and allocate a pseudo-TTY.

You can also check the this example config file for docker compose usage.

User-Friendly Guide for Windows Users

For Windows users, especially if you're not very familiar with command-line tools, we've got you covered. We understand the challenges and have created a guide specifically tailored for you.

Check this step by step guide and leave a message if you encounter issues.

How to Get Your Azure Cognitive Service Key?

Azure subscription - Create one for free
Create a Speech resource in the Azure portal.
Get the Speech resource key and region. After your Speech resource is deployed, select Go to resource to view and manage keys. For more information about Cognitive Services resources, see Get the keys for your resource.

Source: https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/get-started-text-to-speech#prerequisites

How to Get Your OpenAI API Key?

Check https://platform.openai.com/docs/quickstart/account-setup. Make sure you check the price details before use.

✨ About Edge TTS

Edge TTS and Azure TTS are almost same, the difference is that Edge TTS don't require API Key because it's based on Edge read aloud functionality, and parameters are restricted a bit, like custom ssml.

Check https://gist.github.com/BettyJJ/17cbaa1de96235a7f5773b8690a20462 for supported voices.

If you want to try this project quickly, Edge TTS is highly recommended.

Customization of Voice and Language

You can customize the voice and language used for the Text-to-Speech conversion by passing the --voice_name and --language options when running the script.

Microsoft Azure offers a range of voices and languages for the Text-to-Speech service. For a list of available options, consult the Microsoft Azure Text-to-Speech documentation.

You can also listen to samples of the available voices in the Azure TTS Voice Gallery to help you choose the best voice for your audiobook.

For example, if you want to use a British English female voice for the conversion, you can use the following command:

python3 main.py <input_file> <output_folder> --voice_name en-GB-LibbyNeural --language en-GB

For OpenAI TTS, you can specify the model, voice, and format options using --model_name, --voice_name, and --output_format, respectively.

More examples

Here are some examples that demonstrate various option combinations:

Examples Using Azure TTS

Basic conversion using Azure with default settings
This command will convert an EPUB file to an audiobook using Azure's default TTS settings.
```
python3 main.py "path/to/book.epub" "path/to/output/folder" --tts azure
```
Azure conversion with custom language, voice and logging level
Converts an EPUB file to an audiobook with a specified voice and a custom log level for debugging purposes.
```
python3 main.py "path/to/book.epub" "path/to/output/folder" --tts azure --language zh-CN --voice_name "zh-CN-YunyeNeural" --log DEBUG
```
Azure conversion with chapter range and break duration
Converts a specified range of chapters from an EPUB file to an audiobook with custom break duration between paragraphs.
```
python3 main.py "path/to/book.epub" "path/to/output/folder" --tts azure --chapter_start 5 --chapter_end 10 --break_duration "1500"
```

Examples Using OpenAI TTS

Basic conversion using OpenAI with default settings
This command will convert an EPUB file to an audiobook using OpenAI's default TTS settings.
```
python3 main.py "path/to/book.epub" "path/to/output/folder" --tts openai
```
OpenAI conversion with HD model and specific voice
Converts an EPUB file to an audiobook using the high-definition OpenAI model and a specific voice choice.
```
python3 main.py "path/to/book.epub" "path/to/output/folder" --tts openai --model_name "tts-1-hd" --voice_name "fable"
```
OpenAI conversion with preview and text output
Enables preview mode and text output, which will display the chapter index and titles instead of converting them and will also export the text.
```
python3 main.py "path/to/book.epub" "path/to/output/folder" --tts openai --preview --output_text
```

Examples Using Edge TTS

Basic conversion using Edge with default settings
This command will convert an EPUB file to an audiobook using Edge's default TTS settings.
```
python3 main.py "path/to/book.epub" "path/to/output/folder" --tts edge
```
Edge conversion with custom language, voice and logging level Converts an EPUB file to an audiobook with a specified voice and a custom log level for debugging purposes.
```
python3 main.py "path/to/book.epub" "path/to/output/folder" --tts edge --language zh-CN --voice_name "zh-CN-YunxiNeural" --log DEBUG
```
Edge conversion with chapter range and break duration Converts a specified range of chapters from an EPUB file to an audiobook with custom break duration between paragraphs.
```
python3 main.py "path/to/book.epub" "path/to/output/folder" --tts edge --chapter_start 5 --chapter_end 10 --break_duration "1500"
```

Examples Using Piper TTS

Make sure you have installed Piper TTS and have an onnx model file and corresponding config file. Check Piper TTS for more details. You can follow their instructions to install Piper TTS, download the models and config files, play with it and then come back to try the examples below.

This command will convert an EPUB file to an audiobook using Piper TTS using the bare minimum parameters. You always need to specify an onnx model file and the piper executable needs to be in the current $PATH.

python3 main.py "path/to/book.epub" "path/to/output/folder" --tts piper --model_name <path_to>/en_US-libritts_r-medium.onnx

You can specify your custom path to the piper executable by using the --piper_path parameter.

python3 main.py "path/to/book.epub" "path/to/output/folder" --tts piper --model_name <path_to>/en_US-libritts_r-medium.onnx --piper_path <path_to>/piper

Some models support multiple voices and that can be specified by using the voice_name parameter.

python3 main.py "path/to/book.epub" "path/to/output/folder" --tts piper --model_name <path_to>/en_US-libritts_r-medium.onnx --piper_speaker 256

You can also specify speed (piper_length_scale) and pause duration (piper_sentence_silence).

python3 main.py "path/to/book.epub" "path/to/output/folder" --tts piper --model_name <path_to>/en_US-libritts_r-medium.onnx --piper_speaker 256 --piper_length_scale 1.5 --piper_sentence_silence 0.5

Piper TTS outputs wav format files (or raw) by default you should be able to specify any reasonable format via the --output_format parameter. The opus and mp3 are good choices for size and compatibility.

python3 main.py "path/to/book.epub" "path/to/output/folder" --tts piper --model_name <path_to>/en_US-libritts_r-medium.onnx --piper_speaker 256 --piper_length_scale 1.5 --piper_sentence_silence 0.5 --output_format opus

Troubleshooting

ModuleNotFoundError: No module named 'importlib_metadata'

This may be because the Python version you are using is less than 3.8. You can try to manually install it by pip3 install importlib-metadata, or use a higher Python version.

FileNotFoundError: [Errno 2] No such file or directory: 'ffmpeg'

Make sure ffmpeg binary is accessible from your path. If you are on a mac and use homebrew, you can do brew install ffmpeg, On Ubuntu you can do sudo apt install ffmpeg

Piper TTS

For installation-related issues, please refer to the Piper TTS repository. It's important to note that if you're installing piper-tts via pip, only Python 3.10 is currently supported. Mac users may encounter additional challenges when using the downloaded binary. For more information on Mac-specific issues, please check this issue and this pull request.

Also check this if you're having trouble with Piper TTS.

Related Projects

Epub to Audiobook (M4B): Epub to MB4 Audiobook, with StyleTTS2 via HuggingFace Spaces API.
Storyteller: A self-hosted platform for automatically syncing ebooks and audiobooks.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Name		Name	Last commit message	Last commit date
Latest commit History 126 Commits
.github/workflows		.github/workflows
audiobook_generator		audiobook_generator
examples		examples
templates		templates
tests		tests
.dockerignore		.dockerignore
.gitattributes		.gitattributes
.gitignore		.gitignore
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
docker-compose.example.yml		docker-compose.example.yml
main.py		main.py
requirements.txt		requirements.txt
wsgi.py		wsgi.py

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Repository files navigation

EPUB to Audiobook Converter

Notice

Audio Sample

Requirements

Audiobookshelf Integration

Chapter Titles

Installation

Usage

Preview Mode

Search & Replace

Using with Docker

User-Friendly Guide for Windows Users

How to Get Your Azure Cognitive Service Key?

How to Get Your OpenAI API Key?

✨ About Edge TTS

Customization of Voice and Language

More examples

Examples Using Azure TTS

Examples Using OpenAI TTS

Examples Using Edge TTS

Examples Using Piper TTS

Troubleshooting

ModuleNotFoundError: No module named 'importlib_metadata'

FileNotFoundError: [Errno 2] No such file or directory: 'ffmpeg'

Piper TTS

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EPUB to Audiobook Converter

Notice

Audio Sample

Requirements

Audiobookshelf Integration

Chapter Titles

Installation

Usage

Preview Mode

Search & Replace

Using with Docker

User-Friendly Guide for Windows Users

How to Get Your Azure Cognitive Service Key?

How to Get Your OpenAI API Key?

✨ About Edge TTS

Customization of Voice and Language

More examples

Examples Using Azure TTS

Examples Using OpenAI TTS

Examples Using Edge TTS

Examples Using Piper TTS

Troubleshooting

ModuleNotFoundError: No module named 'importlib_metadata'

FileNotFoundError: [Errno 2] No such file or directory: 'ffmpeg'

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