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abogen

Tue, 02 Sep 2025 15:30:10 +0800

denizsafak/abogen

abogen

Abogen is a powerful text-to-speech conversion tool that makes it easy to turn ePub, PDF, or text files into high-quality audio with matching subtitles in seconds. Use it for audiobooks, voiceovers for Instagram, YouTube, TikTok, or any project that needs natural-sounding text-to-speech, using Kokoro-82M.

Demo

https://github.com/user-attachments/assets/094ba3df-7d66-494a-bc31-0e4b41d0b865

This demo was generated in just 5 seconds, producing ∼1 minute of audio with perfectly synced subtitles. To create a similar video, see the demo guide.

`How to install?`

Windows

Go to espeak-ng latest release download and run the *.msi file.

OPTION 1: Install using script

Download the repository
Extract the ZIP file
Run WINDOWS_INSTALL.bat by double-clicking it

This method handles everything automatically - installing all dependencies including CUDA in a self-contained environment without requiring a separate Python installation. (You still need to install espeak-ng.)

[!NOTE] You don’t need to install Python separately. The script will install Python automatically.

OPTION 2: Install using pip

# Create a virtual environment (optional)
mkdir abogen && cd abogen
python -m venv venv
venv\Scripts\activate

# For NVIDIA GPUs:
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128

# For AMD GPUs:
# Not supported yet, because ROCm is not available on Windows. Use Linux if you have AMD GPU.

# Install abogen
pip install abogen

Mac

# Install espeak-ng
brew install espeak-ng

# Create a virtual environment (recommended)
mkdir abogen && cd abogen
python3 -m venv venv
source venv/bin/activate

# Install abogen
pip3 install abogen

# For Silicon Mac (M1, M2 etc.)
# After installing abogen, we need to install Kokoro's development version which includes MPS support.
pip3 install git+https://github.com/hexgrad/kokoro.git

Linux

# Install espeak-ng
sudo apt install espeak-ng # Ubuntu/Debian
sudo pacman -S espeak-ng # Arch Linux
sudo dnf install espeak-ng # Fedora

# Create a virtual environment (recommended)
mkdir abogen && cd abogen
python3 -m venv venv
source venv/bin/activate

# Install abogen
pip3 install abogen

# For NVIDIA GPUs:
# Already supported, no need to install CUDA separately.

# For AMD GPUs:
# After installing abogen, we need to uninstall the existing torch package
pip3 uninstall torch 
pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.4

[!TIP] If you get WARNING: The script abogen-cli is installed in '/home/username/.local/bin' which is not on PATH. error, run the following command to add it to your PATH:
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echo "export PATH=\"/home/$USER/.local/bin:\$PATH\"" >> ~/.bashrc && source ~/.bashrc

[!TIP] If you get “No matching distribution found” error, try installing it on supported Python (3.10 to 3.12). You can use pyenv to manage multiple Python versions easily in Linux. Watch this video by NetworkChuck for a quick guide.

Special thanks to @hg000125 for his contribution in #23. AMD GPU support is possible thanks to his work.

`How to run?`

If you installed using pip, you can simply run the following command to start Abogen:

abogen

[!TIP] If you installed using the Windows installer (WINDOWS_INSTALL.bat), It should have created a shortcut in the same folder, or your desktop. You can run it from there. If you lost the shortcut, Abogen is located in python_embedded/Scripts/abogen.exe. You can run it from there directly.

`How to use?`

Drag and drop any ePub, PDF, or text file (or use the built-in text editor)
Configure the settings:
- Set speech speed
- Select a voice (or create a custom voice using voice mixer)
- Select subtitle generation style (by sentence, word, etc.)
- Select output format
- Select where to save the output
Hit Start

`In action`

Here’s Abogen in action: in this demo, it processes ∼3,000 characters of text in just 11 seconds and turns it into 3 minutes and 28 seconds of audio, and I have a low-end RTX 2060 Mobile laptop GPU. Your results may vary depending on your hardware.

`Configuration`

Options	Description
Input Box	Drag and drop `ePub`, `PDF`, or `.TXT` files (or use built-in text editor)
Queue options	Add multiple files to a queue and process them in batch, with individual settings for each file. See Queue mode for more details.
Speed	Adjust speech rate from `0.1x` to `2.0x`
Select Voice	First letter of the language code (e.g., `a` for American English, `b` for British English, etc.), second letter is for `m` for male and `f` for female.
Voice mixer	Create custom voices by mixing different voice models with a profile system. See Voice Mixer for more details.
Voice preview	Listen to the selected voice before processing.
Generate subtitles	`Disabled`, `Sentence`, `Sentence + Comma`, `Sentence + Highlighting`, `1 word`, `2 words`, `3 words`, etc. (Represents the number of words in each subtitle entry)
Output voice format	`.WAV`, `.FLAC`, `.MP3`, `.OPUS (best compression)` and `M4B (with chapters)` (Special thanks to @jborza for chapter support in PR #10)
Output subtitle format	Configures the subtitle format as `SRT (standard)`, `ASS (wide)`, `ASS (narrow)`, `ASS (centered wide)`, or `ASS (centered narrow)`.
Replace single newlines with spaces	Replaces single newlines with spaces in the text. This is useful for texts that have imaginary line breaks.
Save location	`Save next to input file`, `Save to desktop`, or `Choose output folder`

Book handler options	Description
Chapter Control	Select specific `chapters` from ePUBs or `chapters + pages` from PDFs.
Save each chapter separately	Save each chapter in e-books as a separate audio file.
Create a merged version	Create a single audio file that combines all chapters. (If `Save each chapter separately` is disabled, this option will be the default behavior.)
Save in a project folder with metadata	Save the converted items in a project folder with available metadata files.

Menu options	Description
Theme	Change the application’s theme using `System`, `Light`, or `Dark` options.
Configure max words per subtitle	Configures the maximum number of words per subtitle entry.
Configure max lines in log window	Configures the maximum number of lines to display in the log window.
Separate chapters audio format	Configures the audio format for separate chapters as `wav`, `flac`, `mp3`, or `opus`.
Create desktop shortcut	Creates a shortcut on your desktop for easy access.
Open config directory	Opens the directory where the configuration file is stored.
Open cache directory	Opens the cache directory where converted text files are stored.
Clear cache files	Deletes cache files created during the conversion or preview.
Check for updates at startup	Automatically checks for updates when the program starts.
Disable Kokoro’s internet access	Prevents Kokoro from downloading models or voices from HuggingFace Hub, useful for offline use.
Reset to default settings	Resets all settings to their default values.

Special thanks to @robmckinnon for adding Sentence + Highlighting feature in PR #65

`Voice Mixer`

With voice mixer, you can create custom voices by mixing different voice models. You can adjust the weight of each voice and save your custom voice as a profile for future use. The voice mixer allows you to create unique and personalized voices. (Huge thanks to @jborza for making this possible through his contributions in #5)

`Queue Mode`

Abogen supports queue mode, allowing you to add multiple files to a processing queue. This is useful if you want to convert several files in one batch.

You can add text files (.txt) directly using the Add files button in the Queue Manager. To add PDF or EPUB files, use the input box in the main window and click the Add to Queue button.
Each file in the queue keeps the configuration settings that were active when it was added. Changing the main window configuration afterward does not affect files already in the queue.
You can view each file’s configuration by hovering over them.

Abogen will process each item in the queue automatically, saving outputs as configured.

Special thanks to @jborza for adding queue mode in PR #35

`About Chapter Markers`

When you process ePUB or PDF files, Abogen converts them into text files stored in your cache directory. When you click “Edit,” you’re actually modifying these converted text files. In these text files, you’ll notice tags that look like this:

`1`	`<<CHAPTER_MARKER:Chapter Title>>`

These are chapter markers. They are automatically added when you process ePUB or PDF files, based on the chapters you select. They serve an important purpose:

Allow you to split the text into separate audio files for each chapter
Save time by letting you reprocess only specific chapters if errors occur, rather than the entire file

You can manually add these markers to plain text files for the same benefits. Simply include them in your text like this:

<<CHAPTER_MARKER:Introduction>>
This is the beginning of my text...  

<<CHAPTER_MARKER:Main Content>> 
Here's another part...

When you process the text file, Abogen will detect these markers automatically and ask if you want to save each chapter separately and create a merged version.

`About Metadata Tags`

Similar to chapter markers, it is possible to add metadata tags for M4B files. This is useful for audiobook players that support metadata, allowing you to add information like title, author, year, etc. Abogen automatically adds these tags when you process ePUB or PDF files, but you can also add them manually to your text files. Add metadata tags at the beginning of your text file like this:

<<METADATA_TITLE:Title>>
<<METADATA_ARTIST:Author>>
<<METADATA_ALBUM:Album Title>>
<<METADATA_YEAR:Year>>
<<METADATA_ALBUM_ARTIST:Album Artist>>
<<METADATA_COMPOSER:Narrator>>
<<METADATA_GENRE:Audiobook>>

`Supported Languages`

# 🇺🇸 'a' => American English, 🇬🇧 'b' => British English
# 🇪🇸 'e' => Spanish es
# 🇫🇷 'f' => French fr-fr
# 🇮🇳 'h' => Hindi hi
# 🇮🇹 'i' => Italian it
# 🇯🇵 'j' => Japanese: pip install misaki[ja]
# 🇧🇷 'p' => Brazilian Portuguese pt-br
# 🇨🇳 'z' => Mandarin Chinese: pip install misaki[zh]

For a complete list of supported languages and voices, refer to Kokoro’s VOICES.md. To listen to sample audio outputs, see SAMPLES.md.

[!NOTE] Japanese audio may require additional configuration. Please check #56 for more information.

`MPV Config`

I highly recommend using MPV to play your audio files, as it supports displaying subtitles even without a video track. Here’s my mpv.conf:

# --- MPV Settings ---
save-position-on-quit
keep-open=yes
# --- Subtitle ---
sub-ass-override=no
sub-margin-y=50
sub-margin-x=50
# --- Audio Quality ---
audio-spdif=ac3,dts,eac3,truehd,dts-hd
audio-channels=auto
audio-samplerate=48000
volume-max=200

`Docker Guide`

If you want to run Abogen in a Docker container:

Download the repository and extract, or clone it using git.
Go to abogen folder. You should see Dockerfile there.
Open your termminal in that directory and run the following commands:

# Build the Docker image:
docker build --progress plain -t abogen .

# Note that building the image may take a while.
# After building is complete, run the Docker container:

# Windows
docker run --name abogen -v %cd%:/shared -p 5800:5800 -p 5900:5900 --gpus all abogen

# Linux
docker run --name abogen -v $(pwd):/shared -p 5800:5800 -p 5900:5900 --gpus all abogen

# MacOS
docker run --name abogen -v $(pwd):/shared -p 5800:5800 -p 5900:5900 abogen

# We expose port 5800 for use by a web browser, 5900 if you want to connect with a VNC client.

Abogen launches automatically inside the container.

You can access it via a web browser at http://localhost:5800 or connect to it using a VNC client at localhost:5900.
You can use /shared directory to share files between your host and the container.
For later use, start it with docker start abogen and stop it with docker stop abogen.

Known issues:

Audio preview is not working inside container (ALSA error).
Open cache directory and Open configuration directory options in settings not working. (Tried pcmanfm, did not work with Abogen).

(Special thanks to @geo38 from Reddit, who provided the Dockerfile and instructions in this comment.)

`Similar Projects`

Abogen is a standalone project, but it is inspired by and shares some similarities with other projects. Here are a few:

audiblez: Generate audiobooks from e-books. (Has CLI and GUI support)
autiobooks: Automatically convert epubs to audiobooks
pdf-narrator: Convert your PDFs and EPUBs into audiobooks effortlessly.
epub_to_audiobook: EPUB to audiobook converter, optimized for Audiobookshelf
ebook2audiobook: Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning

`Roadmap`

Add OCR scan feature for PDF files using docling/teserract.
Add chapter metadata for .m4a files. (Issue #9, PR #10)
Add support for different languages in GUI.
Add voice formula feature that enables mixing different voice models. (Issue #1, PR #5)
Add support for kokoro-onnx (If it’s necessary).
Add dark mode.

`Troubleshooting`

If you encounter any issues while running Abogen, try launching it from the command line with:

`1`	`abogen-cli`

This will start Abogen in command-line mode and display detailed error messages. Please open a new issue on the Issues page with the error message and a description of your problem.

`Contributing`

I welcome contributions! If you have ideas for new features, improvements, or bug fixes, please fork the repository and submit a pull request.

For developers and contributors

If you’d like to modify the code and contribute to development, you can download the repository, extract it and run the following commands to build or install the package:

# Go to the directory where you extracted the repository and run:
pip install -e .      # Installs the package in editable mode
pip install build     # Install the build package
python -m build       # Builds the package in dist folder (optional)
abogen                # Opens the GUI

Feel free to explore the code and make any changes you like.

`Credits`

Abogen uses Kokoro for its high-quality, natural-sounding text-to-speech synthesis. Huge thanks to the Kokoro team for making this possible.
Thanks to @wojiushixiaobai for Embedded Python packages. These modified packages include pip pre-installed, enabling Abogen to function as a standalone application without requiring users to separately install Python in Windows.
Thanks to creators of EbookLib, a Python library for reading and writing ePub files, which is used for extracting text from ePub files.
Special thanks to the PyQt team for providing the cross-platform GUI toolkit that powers Abogen’s interface.
Icons: US, Great Britain, Spain, France, India, Italy, Japan, Brazil, China, Female, Male, Adjust and Voice Id icons by Icons8.

`License`

This project is available under the MIT License - see the LICENSE file for details. Kokoro is licensed under Apache-2.0 which allows commercial use, modification, distribution, and private use.

[!IMPORTANT] Subtitle generation currently works only for English. This is because Kokoro provides timestamp tokens only for English text. If you want subtitles in other languages, please request this feature in the Kokoro project. For more technical details, see this line in the Kokoro’s code.

Tags: audiobook, kokoro, text-to-speech, TTS, audiobook generator, audiobooks, text to speech, audiobook maker, audiobook creator, audiobook generator, voice-synthesis, text to audio, text to audio converter, text to speech converter, text to speech generator, text to speech software, text to speech app, epub to audio, pdf to audio, content-creation, media-generation

audiblez

Fri, 29 Aug 2025 15:27:48 +0800

santinic/audiblez

Audiblez: Generate audiobooks from e-books

v4 Now with Graphical interface, CUDA support, and many languages!

Audiblez generates .m4b audiobooks from regular .epub e-books, using Kokoro’s high-quality speech synthesis.

Kokoro-82M is a recently published text-to-speech model with just 82M params and very natural sounding output. It’s released under Apache licence and it was trained on < 100 hours of audio. It currently supports these languages: 🇺🇸 🇬🇧 🇪🇸 🇫🇷 🇮🇳 🇮🇹 🇯🇵 🇧🇷 🇨🇳

On a Google Colab’s T4 GPU via Cuda, it takes about 5 minutes to convert “Animal’s Farm” by Orwell (which is about 160,000 characters) to audiobook, at a rate of about 600 characters per second.

On my M2 MacBook Pro, on CPU, it takes about 1 hour, at a rate of about 60 characters per second.

How to install the Command Line tool

If you have Python 3 on your computer, you can install it with pip. You also need espeak-ng and ffmpeg installed on your machine:

1
2

sudo apt install ffmpeg espeak-ng                   # on Ubuntu/Debian 🐧
pip install audiblez

1
2

brew install ffmpeg espeak-ng                       # on Mac 🍏
pip install audiblez

Then you can convert an .epub directly with:

`1`	`audiblez book.epub -v af_sky`

It will first create a bunch of book_chapter_1.wav, book_chapter_2.wav, etc. files in the same directory, and at the end it will produce a book.m4b file with the whole book you can listen with VLC or any audiobook player. It will only produce the .m4b file if you have ffmpeg installed on your machine.

How to run the GUI

The GUI is a simple graphical interface to use audiblez. You need some extra dependencies to run the GUI:

sudo apt install ffmpeg espeak-ng 
sudo apt install libgtk-3-dev        # just for Ubuntu/Debian 🐧, Windows/Mac don't need this
  
pip install audiblez pillow wxpython

Then you can run the GUI with:

`1`	`audiblez-ui`

How to run on Windows

After many trials, on Windows we recommend to install audiblez in a Python venv:

Open a Windows terminal
Create anew folder: mkdir audiblez
Enter the folder: cd audiblez
Create a venv: python -m venv venv
Activate the venv: .\venv\Scripts\Activate.ps1
Install the dependencies: pip install audiblez pillow wxpython
Now you can run audiblez or audiblez-ui
For Cuda support, you need to install Pytorch accordingly: https://pytorch.org/get-started/locally/

Speed

By default the audio is generated using a normal speed, but you can make it up to twice slower or faster by specifying a speed argument between 0.5 to 2.0:

`1`	`audiblez book.epub -v af_sky -s 1.5`

Supported Voices

Use -v option to specify the voice to use. Available voices are listed here. The first letter is the language code and the second is the gender of the speaker e.g. im_nicola is an italian male voice.

For hearing samples of Kokoro-82M voices, go here

Language	Voices
🇺🇸 American English	`af_alloy`, `af_aoede`, `af_bella`, `af_heart`, `af_jessica`, `af_kore`, `af_nicole`, `af_nova`, `af_river`, `af_sarah`, `af_sky`, `am_adam`, `am_echo`, `am_eric`, `am_fenrir`, `am_liam`, `am_michael`, `am_onyx`, `am_puck`, `am_santa`
🇬🇧 British English	`bf_alice`, `bf_emma`, `bf_isabella`, `bf_lily`, `bm_daniel`, `bm_fable`, `bm_george`, `bm_lewis`
🇪🇸 Spanish	`ef_dora`, `em_alex`, `em_santa`
🇫🇷 French	`ff_siwis`
🇮🇳 Hindi	`hf_alpha`, `hf_beta`, `hm_omega`, `hm_psi`
🇮🇹 Italian	`if_sara`, `im_nicola`
🇯🇵 Japanese	`jf_alpha`, `jf_gongitsune`, `jf_nezumi`, `jf_tebukuro`, `jm_kumo`
🇧🇷 Brazilian Portuguese	`pf_dora`, `pm_alex`, `pm_santa`
🇨🇳 Mandarin Chinese	`zf_xiaobei`, `zf_xiaoni`, `zf_xiaoxiao`, `zf_xiaoyi`, `zm_yunjian`, `zm_yunxi`, `zm_yunxia`, `zm_yunyang`

For more detaila about voice quality, check this document: Kokoro-82M voices

How to run on GPU

By default, audiblez runs on CPU. If you pass the option --cuda it will try to use the Cuda device via Torch.

Check out this example: Audiblez running on a Google Colab Notebook with Cuda .

We don’t currently support Apple Silicon, as there is not yet a Kokoro implementation in MLX. As soon as it will be available, we will support it.

Manually pick chapters to convert

Sometimes you want to manually select which chapters/sections in the e-book to read out loud. To do so, you can use --pick to interactively choose the chapters to convert (without running the GUI).

Help page

For all the options available, you can check the help page audiblez --help:

usage: audiblez [-h] [-v VOICE] [-p] [-s SPEED] [-c] [-o FOLDER] epub_file_path

positional arguments:
  epub_file_path        Path to the epub file

options:
  -h, --help            show this help message and exit
  -v VOICE, --voice VOICE
                        Choose narrating voice: a, b, e, f, h, i, j, p, z
  -p, --pick            Interactively select which chapters to read in the audiobook
  -s SPEED, --speed SPEED
                        Set speed from 0.5 to 2.0
  -c, --cuda            Use GPU via Cuda in Torch if available
  -o FOLDER, --output FOLDER
                        Output folder for the audiobook and temporary files

example:
  audiblez book.epub -l en-us -v af_sky

to use the GUI, run:
  audiblez-ui

Author

by Claudio Santini in 2025, distributed under MIT licence.