abogen 1.3.1
Generate audiobooks from EPUBs, PDFs and text with synchronized captions.
Requires Python: <3.13,>=3.10
Keywords: accessibility, audiobook, book-converter, chapter-management, content-creation, epub, kokoro, media-generation, multilingual, pdf, subtitle, subtitles, text-to-speech, tts, voice-synthesis

# abogen <img width="40px" title="abogen icon" src="https://raw.githubusercontent.com/denizsafak/abogen/refs/heads/main/abogen/assets/icon.ico" align="right" style="padding-left: 10px; padding-top:5px;">

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<a href="https://trendshift.io/repositories/14433" target="_blank"><img src="https://trendshift.io/api/badge/repositories/14433" alt="denizsafak%2Fabogen | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>

Abogen is a powerful text-to-speech conversion tool that makes it easy to turn ePub, PDF, text, markdown, or subtitle 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](https://huggingface.co/hexgrad/Kokoro-82M).

<img title="Abogen Main" src='https://raw.githubusercontent.com/denizsafak/abogen/refs/heads/main/demo/abogen.png' width="380"> <img title="Abogen Processing" src='https://raw.githubusercontent.com/denizsafak/abogen/refs/heads/main/demo/abogen2.png' width="380">

## 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](https://github.com/denizsafak/abogen/tree/main/demo).

## `How to install?` <a href="https://pypi.org/project/abogen/" target="_blank"><img src="https://img.shields.io/pypi/pyversions/abogen" alt="Abogen Compatible PyPi Python Versions" align="right" style="margin-top:6px;"></a>

### `Windows`
Go to [espeak-ng latest release](https://github.com/espeak-ng/espeak-ng/releases/latest) download and run the *.msi file.

#### <b>OPTION 1: Install using script</b>
1. [Download](https://github.com/denizsafak/abogen/archive/refs/heads/main.zip) the repository
2. Extract the ZIP file
3. 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](https://github.com/espeak-ng/espeak-ng/releases/latest).)

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

#### <b>OPTION 2: Install using uv</b>
First, [install uv](https://docs.astral.sh/uv/getting-started/installation/) if you haven't already.

```bash
# For NVIDIA GPUs (CUDA 12.8) - Recommended
uv tool install --python 3.12 abogen[cuda] --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match

# For NVIDIA GPUs (CUDA 12.6) - Older drivers
uv tool install --python 3.12 abogen[cuda126] --extra-index-url https://download.pytorch.org/whl/cu126 --index-strategy unsafe-best-match

# For NVIDIA GPUs (CUDA 13.0) - Newer drivers
uv tool install --python 3.12 abogen[cuda130] --extra-index-url https://download.pytorch.org/whl/cu130 --index-strategy unsafe-best-match

# For AMD GPUs or without GPU - If you have AMD GPU, you need to use Linux for GPU acceleration, because ROCm is not available on Windows.
uv tool install --python 3.12 abogen
```

<details>
<summary><b>Alternative: Install using pip (click to expand)</b></summary>

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

# For NVIDIA GPUs:
# We need to use an older version of PyTorch (2.8.0) until this issue is fixed: https://github.com/pytorch/pytorch/issues/166628
pip install torch==2.8.0+cu128 torchvision==0.23.0+cu128 torchaudio==2.8.0 --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
```

</details>

### `Mac`

First, [install uv](https://docs.astral.sh/uv/getting-started/installation/) if you haven't already.

```bash
# Install espeak-ng
brew install espeak-ng

# For Silicon Mac (M1, M2 etc.)
uv tool install --python 3.13 abogen --with "kokoro @ git+https://github.com/hexgrad/kokoro.git,numpy<2"

# For Intel Mac
uv tool install --python 3.12 abogen --with "kokoro @ git+https://github.com/hexgrad/kokoro.git,numpy<2"
```

<details>
<summary><b>Alternative: Install using pip (click to expand)</b></summary>

```bash
# 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
```

</details>

### `Linux`

First, [install uv](https://docs.astral.sh/uv/getting-started/installation/) if you haven't already.

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

# For NVIDIA GPUs or without GPU - No need to include [cuda] in here.
uv tool install --python 3.12 abogen

# For AMD GPUs (ROCm 6.4)
uv tool install --python 3.12 abogen[rocm] --extra-index-url https://download.pytorch.org/whl/nightly/rocm6.4 --index-strategy unsafe-best-match
```

<details>
<summary><b>Alternative: Install using pip  (click to expand)</b></summary>

```bash
# 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
```
</details>


> See [How to fix "CUDA GPU is not available. Using CPU" warning?](#cuda-warning)

> See [How  to fix "WARNING: The script abogen-cli is installed in '/home/username/.local/bin' which is not on PATH" error in Linux?](#path-warning)

> See [How to fix "No matching distribution found" error?](#no-matching-distribution-found)

> See [How to fix "[WinError 1114] A dynamic link library (DLL) initialization routine failed" error?](#WinError-1114)

> Special thanks to [@hg000125](https://github.com/hg000125) for his contribution in [#23](https://github.com/denizsafak/abogen/issues/23). AMD GPU support is possible thanks to his work.


## Interfaces

Abogen offers **two interfaces**, but currently they have different feature sets. The **Web UI** contains newer features that are still being integrated into the desktop application.

| Command | Interface | Features |
|---------|-----------|----------|
| `abogen` | PyQt6 Desktop GUI | Stable core features |
| `abogen-web` | Flask Web UI | Core features + **Supertonic TTS**, **LLM Normalization**, **Audiobookshelf Integration** and more! |

> **Note:** The Web UI is under active development. We are working to integrate these new features into the PyQt desktop app. until then, the Web UI provides the most feature-rich experience.

> Special thanks to [@jeremiahsb](https://github.com/jeremiahsb) for making this possible! I was honestly surprised by his [massive contribution](https://github.com/denizsafak/abogen/pull/120) (>55,000 lines!) that brought the entire Web UI to life.

# 🖥️ Desktop Application (PyQt)

## `How to run?`

You can simply run this command to start Abogen Desktop GUI:

```bash
abogen
```

> [!TIP]
> If you installed Abogen 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?`
1) Drag and drop any ePub, PDF, text, markdown, or subtitle file (or use the built-in text editor)
2) 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
3) Hit Start

## `In action`
<img title="Abogen in action" src='https://raw.githubusercontent.com/denizsafak/abogen/refs/heads/main/demo/abogen.gif'> 

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`, `.TXT`, `.MD`, `.SRT`, `.ASS` or `.VTT` 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](#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](#voice-mixer) for more details. |
| **Voice preview** | Listen to the selected voice before processing. |
| **Generate subtitles** | `Disabled`, `Line`, `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)` |
| **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` |

> Special thanks to [@brianxiadong](https://github.com/brianxiadong) for adding markdown support in PR [#75](https://github.com/denizsafak/abogen/pull/75)

> Special thanks to [@jborza](https://github.com/jborza) for chapter support in PR [#10](https://github.com/denizsafak/abogen/pull/10)

> Special thanks to [@mleg](https://github.com/mleg) for adding `Line` option in subtitle generation in PR [#94](https://github.com/denizsafak/abogen/pull/94)

| Book handler options | Description |
|---------|-------------|
| **Chapter Control** | Select specific `chapters` from ePUBs or markdown files 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 silence between chapters** | Configures the duration of silence between chapters (in seconds). |
| **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. |
| **Use silent gaps between subtitles** | Prevents unnecessary audio speed-up by letting speech continue into the silent gaps between subtitle etries. In short, it ignores the end times in subtitle entries and uses the silent space until the beginning of the next subtitle entry. When disabled, it speeds up the audio to fit the exact time interval specified in the subtitle. (for subtitle files). |
| **Subtitle speed adjustment method** | Choose how to speed up audio when needed: `TTS Regeneration (better quality)` re-generates the audio at a faster speed, while `FFmpeg Time-stretch (better speed)` quickly speeds up the generated audio. (for subtitle files). |
| **Use spaCy for sentence segmentation** | When this option is enabled, Abogen uses [spaCy](https://spacy.io/) to detect sentence boundaries more accurately, instead of using punctuation marks (like periods, question marks, etc.) to split sentences, which could incorrectly cut off phrases like "Mr." or "Dr.". With spaCy, sentences are divided more accurately. For non-English text, spaCy runs **before** audio generation to create sentence chunks. For English text, spaCy runs **during** subtitle generation to improve timing and readability. spaCy is only used when subtitle mode is `Sentence` or `Sentence + Comma`. If you prefer the old punctuation splitting method, you can turn this option off. |
| **Pre-download models and voices for offline use** | Opens a window that displays the available models and voices. Click `Download all` button to download all required models and voices, allowing you to use Abogen completely offline without any internet connection. |
| **Disable Kokoro's internet access** | Prevents Kokoro from downloading models or voices from HuggingFace Hub, useful for offline use. |
| **Check for updates at startup** | Automatically checks for updates when the program starts. |
| **Reset to default settings** | Resets all settings to their default values. |

> Special thanks to [@robmckinnon](https://github.com/robmckinnon) for adding Sentence + Highlighting feature in PR [#65](https://github.com/denizsafak/abogen/pull/65)

## `Voice Mixer`
<img title="Abogen Voice Mixer" src='https://raw.githubusercontent.com/denizsafak/abogen/refs/heads/main/demo/voice_mixer.png'>

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.

> Special thanks to [@jborza](https://github.com/jborza) for making this possible through his contributions in [#5](https://github.com/denizsafak/abogen/pull/5)

## `Queue Mode`
<img title="Abogen queue mode" src='https://raw.githubusercontent.com/denizsafak/abogen/refs/heads/main/demo/queue.png'>

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`) and subtitle files (`.srt`, `.ass`, `.vtt`) directly using the **Add files** button in the Queue Manager or by dragging and dropping them into the queue list. To add PDF, EPUB, or markdown 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 enable the **Override item settings with current selection** option to force all items in the queue to use the configuration currently selected in the main window, overriding their saved settings.
- 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](https://github.com/jborza) for adding queue mode in PR [#35](https://github.com/denizsafak/abogen/pull/35)

---
# 🌐 Web Application (WebUI)

## `How to run?`

Run this command to start the Web UI:

```bash
abogen-web
```
Then open http://localhost:8808 and drag in your documents. Jobs run in the background worker and the browser updates automatically.

<img title="Abogen in action" src='https://raw.githubusercontent.com/denizsafak/abogen/refs/heads/main/demo/abogen-webui.png'> 

## `Using the web UI`
1. Upload a document (drag & drop or use the upload button).
2. Choose voice, language, speed, subtitle style, and output format.
3. Click **Create job**. The job immediately appears in the queue.
4. Watch progress and logs update live. Download audio/subtitle assets when complete.
5. Cancel or delete jobs any time. Download logs for troubleshooting.

Multiple jobs can run sequentially; the worker processes them in order.

## `Container image`
You can build a lightweight container image directly from the repository root:

```bash
docker build -t abogen .
mkdir -p ~/abogen-data/uploads ~/abogen-data/outputs
docker run --rm \
  -p 8808:8808 \
  -v ~/abogen-data:/data \
  --name abogen \
  abogen
```

Browse to http://localhost:8808. Uploaded source files are stored in `/data/uploads` and rendered audio/subtitles appear in `/data/outputs`.

### Container environment variables
| Variable | Default | Purpose |
|----------|---------|---------|
| `ABOGEN_HOST` | `0.0.0.0` | Bind address for the Flask server |
| `ABOGEN_PORT` | `8808` | HTTP port |
| `ABOGEN_DEBUG` | `false` | Enable Flask debug mode |
| `ABOGEN_UPLOAD_ROOT` | `/data/uploads` | Directory where uploaded files are stored |
| `ABOGEN_OUTPUT_ROOT` | `/data/outputs` | Directory for generated audio and subtitles (legacy alias of `ABOGEN_OUTPUT_DIR`) |
| `ABOGEN_OUTPUT_DIR` | `/data/outputs` | Container path for rendered audio/subtitles |
| `ABOGEN_SETTINGS_DIR` | `/config` | Container path for JSON settings/configuration |
| `ABOGEN_TEMP_DIR` | `/data/cache` (Docker) or platform cache dir | Container path for temporary audio working files |
| `ABOGEN_UID` | `1000` | UID that the container should run as (matches host user) |
| `ABOGEN_GID` | `1000` | GID that the container should run as (matches host group) |
| `ABOGEN_LLM_BASE_URL` | `""` | OpenAI-compatible endpoint used to seed the Settings → LLM panel |
| `ABOGEN_LLM_API_KEY` | `""` | API key passed to the endpoint above |
| `ABOGEN_LLM_MODEL` | `""` | Default model selected when you refresh the model list |
| `ABOGEN_LLM_TIMEOUT` | `30` | Timeout (seconds) for server-side LLM requests |
| `ABOGEN_LLM_CONTEXT_MODE` | `sentence` | Default prompt context window (`sentence`, `paragraph`, `document`) |
| `ABOGEN_LLM_PROMPT` | `""` | Custom normalization prompt template seeded into the UI |

Set any of these with `-e VAR=value` when starting the container.

To discover your local UID/GID for matching file permissions inside the container, run:

```bash
id -u
id -g
```

Use those values to populate `ABOGEN_UID` / `ABOGEN_GID` in your `.env` file.

When running via Docker Compose, set `ABOGEN_SETTINGS_DIR`,
`ABOGEN_OUTPUT_DIR`, and `ABOGEN_TEMP_DIR` in your `.env` file to the host
directories you want mounted into the container. Compose maps them to
`/config`, `/data/outputs`, and `/data/cache` respectively while exporting
those in-container paths to the application. Non-audio caches (e.g., Hugging
Face downloads) stick to the container's internal cache under `/tmp/abogen-home/.cache`
by default, so only conversion scratch data touches the mounted `ABOGEN_TEMP_DIR`.
Ensure each host directory exists and is writable by the UID/GID you configure
before starting the stack.

### 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:

```bash
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:

```bash
docker build -f abogen/Dockerfile -t abogen-gpu .
docker run --rm \
  --gpus all \
  -p 8808:8808 \
  -v ~/abogen-data:/data \
  abogen-gpu
```

## `LLM-assisted text normalization`
Abogen can hand tricky apostrophes and contractions to an OpenAI-compatible large language model. Configure it from **Settings → LLM**:

1. Enter the base URL for your endpoint (Ollama, OpenAI proxy, etc.) and an API key if required. Use the server root (for Ollama: `http://localhost:11434`)—Abogen appends `/v1/...` automatically, but it also accepts inputs that already end in `/v1`.
2. Click **Refresh models** to load the catalog, pick a default model, and adjust the timeout or prompt template.
3. Use the preview box to test the prompt, then save the settings. The Normalization panel can synthesize a short audio preview with the current configuration.

When you are running inside Docker or a CI pipeline, seed the form automatically with `ABOGEN_LLM_*` variables in your `.env` file. The `.env.example` file includes sample values for a local Ollama server.

## `Audiobookshelf integration`
Abogen can push finished audiobooks directly into Audiobookshelf. Configure this under **Settings → Integrations → Audiobookshelf** by providing:

- **Base URL** – the HTTPS origin (and optional path prefix) where your Audiobookshelf server is reachable, for example `https://abs.example.com` or `https://media.example.com/abs`. Do **not** append `/api`.
- **Library ID** – the identifier of the target Audiobookshelf library (copy it from the library’s settings page in ABS).
- **Folder (name or ID)** – the destination folder inside that library. Enter the folder name exactly as it appears in Audiobookshelf (Abogen resolves it to the correct ID automatically), paste the raw `folderId`, or click **Browse folders** to fetch the available folders and populate the field.
- **API token** – a personal access token generated in Audiobookshelf under *Account → API tokens*.

You can enable automatic uploads for future jobs or trigger individual uploads from the queue once the connection succeeds.

### Reverse proxy checklist (Nginx Proxy Manager)
When Audiobookshelf sits behind Nginx Proxy Manager (NPM), make sure the API paths and headers reach the backend untouched:

1. Create a **Proxy Host** that points to your ABS container or host (default forward port `13378`).
2. Under the **SSL** tab, enable your certificate and tick **Force SSL** if you want HTTPS only.
3. In the **Advanced** tab, append the snippet below so bearer tokens, client IPs, and large uploads survive the proxy hop:
   ```nginx
  proxy_set_header Host $host;
  proxy_set_header X-Real-IP $remote_addr;
  proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
  proxy_set_header X-Forwarded-Proto $scheme;
  proxy_set_header X-Forwarded-Host $host;
  proxy_set_header X-Forwarded-Port $server_port;
  proxy_set_header Authorization $http_authorization;
  client_max_body_size 5g;
  proxy_read_timeout 300s;
  proxy_connect_timeout 300s;
   ```
4. Disable **Block Common Exploits** (it strips Authorization headers in some NPM builds).
5. Enable **Websockets Support** on the main proxy screen (Audiobookshelf uses it for the web UI, and it keeps the reverse proxy configuration consistent).
6. If you publish Audiobookshelf under a path prefix (for example `/abs`), add a **Custom Location** with `Location: /abs/` and set the **Forward Path** to `/`. That rewrite strips the `/abs` prefix before traffic reaches Audiobookshelf so `/abs/api/...` on the internet becomes `/api/...` on the backend. Use the same prefixed URL in Abogen’s “Base URL” field.

After saving the proxy host, test the API from the machine running Abogen:

```bash
curl -i "https://abs.example.com/api/libraries" \
  -H "Authorization: Bearer YOUR_API_TOKEN"
```

If you still receive `Cannot GET /api/...`, the proxy is rewriting paths. Double-check the **Custom Locations** table (the `Forward Path` column should be empty for `/abs/`) and review the NPM access/error logs while issuing the curl request to confirm the backend sees the full `/api/libraries` URL.

A JSON response confirming the libraries list means the proxy is routing API calls correctly. You can then use **Browse folders** to confirm the library contents, run **Test connection** in Abogen’s settings (it verifies the library and resolves the folder), and use the “Send to Audiobookshelf” button on completed jobs.

## `JSON endpoints`
Need machine-readable status updates? The dashboard calls a small set of helper endpoints you can reuse:
- `GET /api/jobs/<id>` returns job metadata, progress, and log lines in JSON.
- `GET /partials/jobs` renders the live job list as HTML (htmx uses this for polling).
- `GET /partials/jobs/<id>/logs` renders just the log window.

More automation hooks are planned; contributions are very welcome if you need additional routes.

---
# Core Features (Available in Both)

## `About Chapter Markers`
When you process ePUB, PDF or markdown 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:

```
<<CHAPTER_MARKER:Chapter Title>>
```
These are chapter markers. They are automatically added when you process ePUB, PDF or markdown 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.

![Abogen Chapter Marker](https://raw.githubusercontent.com/denizsafak/abogen/refs/heads/main/demo/chapter_marker.png)

## `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, PDF or markdown 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>>
<<METADATA_COVER_PATH:path/to/cover.jpg>>
```
> Note: `METADATA_COVER_PATH` is used to embed a cover image into the generated M4B file. Abogen automatically extracts the cover from EPUB and PDF files and adds this tag for you.

## `About Timestamp-based Text Files`
Similar to converting subtitle files to audio, Abogen can automatically detect text files that contain timestamps in `HH:MM:SS`, `HH:MM:SS,ms` or `HH:MM:SS.ms` format. When timestamps are found inside your text file, Abogen will ask if you want to use them for audio timing. This is useful for creating timed narrations, scripts, or transcripts where you need exact control over when each segment is spoken.

Format your text file like this:
```
00:00:00
This is the first segment of text.

00:00:15
This is the second segment, starting at 15 seconds.

00:00:45
And this is the third segment, starting at 45 seconds.
```

**Important notes:**
- Timestamps must be in `HH:MM:SS`, `HH:MM:SS,ms` or `HH:MM:SS.ms` format (e.g., `00:05:30` for 5 minutes 30 seconds, or `00:05:30.500` for 5 minutes 30.5 seconds)
- Milliseconds are optional and provide precision up to 1/1000th of a second
- Text before the first timestamp (if any) will automatically start at `00:00:00`
- When using timestamps, the subtitle generation mode setting is ignored

## `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](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)

---
# Guides & Troubleshooting

## `MPV Config`
I highly recommend using [MPV](https://mpv.io/installation/) 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
audio-display=no
# --- 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
```

## `Similar Projects`
Abogen is a standalone project, but it is inspired by and shares some similarities with other projects. Here are a few:
- [audiblez](https://github.com/santinic/audiblez): Generate audiobooks from e-books. **(Has CLI and GUI support)**
- [autiobooks](https://github.com/plusuncold/autiobooks): Automatically convert epubs to audiobooks
- [pdf-narrator](https://github.com/mateogon/pdf-narrator): Convert your PDFs and EPUBs into audiobooks effortlessly.
- [epub_to_audiobook](https://github.com/p0n1/epub_to_audiobook): EPUB to audiobook converter, optimized for Audiobookshelf
- [ebook2audiobook](https://github.com/DrewThomasson/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.
- [x] Add chapter metadata for .m4a files. (Issue [#9](https://github.com/denizsafak/abogen/issues/9), PR [#10](https://github.com/denizsafak/abogen/pull/10))
- [ ] Add support for different languages in GUI.
- [x] Add voice formula feature that enables mixing different voice models. (Issue [#1](https://github.com/denizsafak/abogen/issues/1), PR [#5](https://github.com/denizsafak/abogen/pull/5))
- [ ] Add support for kokoro-onnx (If it's necessary).
- [x] Add dark mode.

## `Troubleshooting`
If you encounter any issues while running Abogen, try launching it from the command line with:
```
abogen-cli
```

If you installed using the Windows installer `(WINDOWS_INSTALL.bat)`, go to `python_embedded/Scripts` and run:
```
abogen-cli.exe
```

This will start Abogen in command-line mode and display detailed error messages. Please open a new issue on the [Issues](https://github.com/denizsafak/abogen/issues) page with the error message and a description of your problem.

## `Common Issues & Solutions`

<details><summary><b>
<a name="about-abogen">About the name "abogen"</a>
</b></summary>

> The name **"abogen"** comes from a shortened form of **"audiobook generator"**, which is the purpose of this project.  
>
> After releasing the project, I learned from [community feedback](https://news.ycombinator.com/item?id=44853064#44857237) that the prefix *"abo"* can unfortunately be understood as an ethnic slur in certain regions (particularly Australia and New Zealand). This was something I was not aware of when naming the project, as English is not my first language.  
>
> I want to make it clear that the name was chosen only for its technical meaning, with **no offensive intent**. I’m grateful to those who kindly pointed this out, as it helps ensure the project remains respectful and welcoming to everyone.  

</details>

<details><summary><b>
<a name="cuda-warning">How to fix "CUDA GPU is not available. Using CPU" warning?</a>
</b></summary>

> This message means PyTorch could not use your GPU and has fallen back to the CPU. On Windows, Abogen only supports NVIDIA GPUs with CUDA. AMD GPUs are not supported on Windows (they are only supported on Linux with ROCm). Abogen will still work on the CPU, but processing will be slower compared to a supported GPU.
>
> If you have a compatible NVIDIA GPU on Windows and still see this warning:
> Open your terminal in the Abogen folder (the folder that contains `python_embedded`) and type:
> ```bash
> python_embedded\python.exe -m pip install --force-reinstall torch==2.8.0+cu128 torchvision==0.23.0+cu128 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128
> ```
>
> If this does not resolve the issue and you are using an older NVIDIA GPU that does not support CUDA 12.8, you can try installing an older version of PyTorch that supports your GPU. For example, for CUDA 12.6, run:
> ```bash
> python_embedded\python.exe -m pip install --force-reinstall torch==2.8.0+cu126 torchvision==0.23.0+cu126 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu126
> ```
> 
> If you have an AMD GPU, you need to use Linux and follow the Linux/ROCm [instructions](#linux). If you want to keep running on CPU, no action is required, but performance will just be reduced. See [#32](https://github.com/denizsafak/abogen/issues/32) for more details.
>
> If you used `uv` to install Abogen, you can uninstall and try reinstalling with another CUDA version:
> ```bash
> # First uninstall Abogen
> uv tool uninstall abogen
> # Try CUDA 12.6 for older drivers
> uv tool install --python 3.12 abogen[cuda126] --extra-index-url https://download.pytorch.org/whl/cu126 --index-strategy unsafe-best-match
> # If that doesn't work, try CUDA 13.0 for newer drivers
> uv tool install --python 3.12 abogen[cuda130] --extra-index-url https://download.pytorch.org/whl/cu130 --index-strategy unsafe-best-match
> ```

</details>

<details><summary><b>
<a name="path-warning">How to fix "WARNING: The script abogen-cli is installed in '/home/username/.local/bin' which is not on PATH" error in Linux?</a>
</b></summary>

> Run the following command to add Abogen to your PATH:
> ```bash
> echo "export PATH=\"/home/$USER/.local/bin:\$PATH\"" >> ~/.bashrc && source ~/.bashrc
> ```

</details>

<details><summary><b>
<a name="no-matching-distribution-found">How to fix "No matching distribution found" error?<a>
</b></summary>

> Try installing Abogen on supported Python (3.10 to 3.12) versions. I recommend installing with [uv](https://docs.astral.sh/uv/getting-started/installation/). You can also use [pyenv](https://github.com/pyenv/pyenv) to manage multiple Python versions easily on Linux. Watch this [video](https://www.youtube.com/watch?v=MVyb-nI4KyI) by NetworkChuck for a quick guide.

</details>

<details><summary><b>
<a name="WinError-1114">How to fix "[WinError 1114] A dynamic link library (DLL) initialization routine failed" error?</a>
</b></summary>

> I faced this error when trying to run Abogen in a virtual Windows machine without GPU support. Here's how I fixed it:
> If you installed Abogen using the Windows installer `(WINDOWS_INSTALL.bat)`, go to Abogen's folder (that contains `python_embedded`), open your terminal there and run:
> ```bash
> python_embedded\python.exe -m pip install --force-reinstall torch==2.8.0+cu128 torchvision==0.23.0+cu128 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128
> ```
> If you installed Abogen using pip, open your terminal in the virtual environment and run:
> ```bash
> pip install torch==2.8.0 torchaudio==2.8.0 torchvision==0.23.0 --index-url https://download.pytorch.org/whl/cu128
> ```

</details>

<details><summary><b>
<a name="japanese-audio-not-working">How to fix Japanese audio not working?</a>
</b></summary>

> Japanese audio may require additional configuration. 
> I'm not sure about the exact solution, but it seems to be related to installing additional dependencies for Japanese support in Kokoro. Please check [#56](https://github.com/denizsafak/abogen/issues/56) for more information. 

</details>

<details><summary><b>
<a name="use-uv-instead-of-pip">How to uninstall Abogen?</a>
</b></summary>

> - From the settings menu, go to `Open configuration directory` and delete the directory.
> - From the settings menu, go to `Open cache directory` and delete the directory.
> - If you installed Abogen using pip, type:
>```bash
>pip uninstall abogen # uninstalls abogen
>pip cache purge # removes pip cache
>```
>- If you installed Abogen using uv, type:
>```bash
>uv tool uninstall abogen # uninstalls abogen
>uv cache clear # removes uv cache
>```
> - If you installed Abogen using the Windows installer (WINDOWS_INSTALL.bat), just remove the folder that contains Abogen. It installs everything inside `python_embedded` folder, no other directories are created.
> - If you installed espeak-ng, you need to remove it separately.

</details>

## `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](https://github.com/denizsafak/abogen/archive/refs/heads/main.zip), extract it and run the following commands to build **or** install the package:
```bash
# Go to the directory where you extracted the repository and run:
pip install -e .[dev]       # Installs the package in editable mode with build dependencies
python -m build             # Builds the package in dist folder (optional)
abogen                      # Opens the GUI
```
> Make sure you are using Python 3.10 to 3.12. You need to create a virtual environment if needed.

<details>
<summary><b>Alternative: Using uv (click to expand)</b></summary>

```bash
# Go to the directory where you extracted the repository and run:
uv venv --python 3.12       # Creates a virtual environment with Python 3.12
# After activating the virtual environment, run:
uv pip install -e .         # Installs the package in editable mode
uv build                    # Builds the package in dist folder (optional)
abogen                      #