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Decision brief
abogen generates audiobooks with synchronized captions from ebooks in multiple languages using speech synthesis technologies, suitable for content creators who need to add auditory experiences to text-based media.
Good fit when
- You require comprehensive support for both English and non-English voices, including Japanese and Mandarin Chinese
- You need a tool that supports GPU acceleration via Docker with the NVIDIA Container Toolkit
Avoid when
- For use cases requiring minimal setup without the need to install Kokoro's development version or espeak-ng separately
- If your project strictly limits external dependencies to pre-installed packages, as abogen requires additional installs beyond pip
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (5d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install abogenSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
abogen is an open-source tool for generating audiobooks with synchronized captions from ebooks and other textual formats using speech synthesis technologies like Kokoro TTS system and espeak-ng.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 29, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 29, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 29, 2026)
src="https://img.shields.io/pypi/pyversions/abogen" alt="Abogen Compatible PyPi Python Versions" align="right" style="margin-top:6px;"></a>Source link
Tags
README
How to install? 
Install abogen
pip install abogen
</details>
---
# Install espeak-ng
brew install espeak-ng
---
# After installing abogen, we need to install Kokoro's development version which includes MPS support.
pip3 install git+https://github.com/hexgrad/kokoro.git
Install espeak-ng
sudo apt install espeak-ng # Ubuntu/Debian sudo pacman -S espeak-ng # Arch Linux sudo dnf install espeak-ng # Fedora
Already supported, no need to install CUDA separately.
Docker Compose (GPU by default)
The repo includes docker-compose.yaml, which targets GPU hosts out of the box. Install the NVIDIA Container Toolkit and run:
docker compose up -d --build
Key build/runtime knobs:
TORCH_VERSION– pin a specific PyTorch release that matches your driver (leave blank for the latest on the configured index).TORCH_INDEX_URL– swap out the PyTorch download index when targeting a different CUDA build.ABOGEN_DATA– host path that stores uploads/outputs (defaults to./data).
CPU-only deployment: comment out the deploy.resources.reservations.devices block (and the optional runtime: nvidia line) inside the compose file. Compose will then run without requesting a GPU. If you prefer the classic CLI:
docker build -f abogen/Dockerfile -t abogen-gpu .
docker run --rm \
--gpus all \
-p 8808:8808 \
-v ~/abogen-data:/data \
abogen-gpu
🇯🇵 'j' => Japanese: pip install misaki[ja]
🇨🇳 'z' => Mandarin Chinese: pip install misaki[zh]
For a complete list of supported languages and voices, refer to Kokoro's [VOICES.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/VOICES.md). To listen to sample audio outputs, see [SAMPLES.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/SAMPLES.md).
> See [How to fix Japanese audio not working?](#japanese-audio-not-working)
---
---
## `License`
This project is available under the MIT License - see the [LICENSE](https://github.com/denizsafak/abogen/blob/main/LICENSE) file for details.
[Kokoro](https://github.com/hexgrad/kokoro) is licensed under [Apache-2.0](https://github.com/hexgrad/kokoro/blob/main/LICENSE) which allows commercial use, modification, distribution, and private use.
For agents
This page has a .md twin and JSON over the API.