aiabm

🎧 AI Audiobook Maker (AIABM) v5.1.0

Transform your PDFs and text files into high-quality audiobooks using OpenAI TTS (cloud) or Thorsten-Voice (native German). Choose between premium cloud voices or run everything locally at no cost!

🆕 New in v5.1: Beautiful UI/UX overhaul, flexible output options, optimized Thorsten-Voice loading, and Downloads folder as default output.

✨ Features

🎙️ Dual TTS Providers

• ☁️ OpenAI TTS: Premium cloud voices with 6 voice options (requires API key)
• 🇩🇪 Thorsten-Voice: Native German TTS with authentic pronunciation (local/free)

🚀 Core Features

• 🚀 Zero Installation: Run directly with npx aiabm
• 📁 Smart File Handling: Supports PDF and TXT files with drag & drop
• 🎤 Voice Preview: Listen to voices before choosing (2 Thorsten + 6 OpenAI voices)
• 🔒 Enhanced Security: Input sanitization, API key validation, and secure storage
• 🧪 Comprehensive Testing: 55+ unit tests with 12.6% coverage and growing
• ⏸️ Resume & Pause: Continue interrupted conversions anytime
• 🔐 Secure API Key Management: Encrypted local storage
• 📊 Progress Tracking: Real-time conversion progress with estimates
• 🎛️ Advanced Controls: Adjust speed, quality, and output format
• 💰 Cost Transparency: See exact pricing (OpenAI) or run free (local providers)
• 🔧 Smart Installation: Automatic setup for local TTS providers

🚀 Quick Start

Method 1: Direct Usage (Recommended)

# Convert a specific file
npx aiabm mybook.pdf

# Interactive mode
npx aiabm

Method 2: Global Installation

npm install -g aiabm
aiabm mybook.pdf

📋 Prerequisites

Required

• Node.js 16+ (Download from nodejs.org)
• FFmpeg (for audio combining - auto-installed on most systems)

Optional (Choose One or Both)

For OpenAI TTS:

• OpenAI API key (get from platform.openai.com)
• Costs ~$0.015 per 1,000 characters

For Thorsten-Voice (German TTS):

• Python 3.9-3.11 (auto-installed)
• Coqui TTS (auto-installed)
• Completely FREE - runs locally

🎯 Usage Examples

CLI Mode

# Basic conversion
npx aiabm document.pdf

# With specific options (OpenAI)
npx aiabm book.txt --voice nova --speed 1.2 --model tts-1-hd

# Manage API key
npx aiabm --config

Interactive Mode

npx aiabm

Then follow the interactive prompts to:

• Select TTS Provider (OpenAI, Fish Speech, or Thorsten-Voice)
• Auto-install local providers if needed (one-time setup)
• Select your file (browse, drag & drop, or enter path)
• Preview and choose a voice
• Configure settings (speed, quality, output format)
• Monitor progress and resume if needed

🎤 Available Voices

🤖 OpenAI TTS (Cloud)

• Alloy: Neutral, versatile
• Echo: Clear, professional
• Fable: Warm, storytelling
• Onyx: Deep, authoritative
• Nova: Bright, engaging
• Shimmer: Gentle, soothing

🐟 Fish Speech (Local/Multilingual)

• 🇩🇪 German Female (Natural): High-quality German synthesis
• 🇩🇪 German Male (Clear): Professional German voice
• 🇩🇪 German Female (Expressive): Emotional German narration
• 🇺🇸 English Female (Warm): Natural English voice
• 🇺🇸 English Male (Professional): Business-quality English
• 🇺🇸 English Female (Energetic): Dynamic storytelling
• 🇫🇷 French Female (Elegant): Sophisticated French accent
• 🇫🇷 French Male (Sophisticated): Professional French voice

🇩🇪 Thorsten-Voice (Native German)

• 🇩🇪 Thorsten (Authentic German Male): High-quality native German voice
• 🇩🇪 Thorsten Emotional (German Male): German voice with emotional expression

💰 Pricing

OpenAI TTS

$0.015 per 1,000 characters

Content Length	Estimated Cost	Example
10,000 characters	~$0.15	Short article
50,000 characters	~$0.75	Small e-book
100,000 characters	~$1.50	Average novel
250,000 characters	~$3.75	Large book

Fish Speech & Thorsten-Voice

100% FREE - No API costs, runs entirely on your machine!

🔧 Local TTS Setup

Both Fish Speech and Thorsten-Voice run entirely on your machine - no API costs! Now with fully automated installation!

🚀 Smart Installation (Recommended)

npx aiabm
# Select "Fish Speech" or "Thorsten-Voice"
# Choose "Auto Install (recommended)"
# → System automatically downloads and configures everything!

🐟 Fish Speech Setup

What happens automatically:

• 📦 Repository Cloning - Downloads latest Fish Speech
• 🐍 Virtual Environment - Creates isolated Python environment
• ⚡ PyTorch Installation - Installs optimized CPU version
• 🤖 Model Download - Downloads Fish Speech 1.2 models (~1GB)
• ✅ Dependency Check - Verifies installation works

System Requirements:

• Python 3.8+ recommended
• ~2GB disk space for models and dependencies
• 4GB+ RAM recommended
• CPU or GPU (GPU faster but optional)

🇩🇪 Thorsten-Voice Setup

What happens automatically:

• 🐍 Compatible Python Detection - Finds Python 3.9-3.11
• 📦 Virtual Environment - Creates isolated environment
• 🎤 Coqui TTS Installation - Installs German TTS framework
• 🤖 Thorsten Model - Downloads German voice model (~500MB)
• ✅ Compatibility Check - Verifies everything works

System Requirements:

• Python 3.9-3.11 (NOT 3.12+, NOT 3.13+)
• ~1GB disk space for models and dependencies
• 2GB+ RAM recommended

Python Version Issues?

# Install compatible Python on macOS
brew install python@3.11

# On Ubuntu/Debian
sudo apt install python3.11 python3.11-venv

🔧 Installation Status Tracking

• ✅ Smart Detection: Avoids re-installation if already installed
• 📅 Version Tracking: Shows installation date and version
• 🔄 Update Suggestions: Recommends updates after 30+ days
• 🛠️ Installation Markers: Persistent installation state

🔧 Advanced Features

Resume Interrupted Conversions

If conversion stops, simply run the tool again - it will automatically detect and offer to resume your previous session.

Multiple Output Formats

• Single File: One complete audiobook MP3
• Chapter Files: Separate MP3 per chunk
• Both: Get both formats

Voice Preview Caching

Voice previews are cached locally to save API costs and improve performance.

Smart Text Chunking

• Respects sentence boundaries
• Preserves chapter structure for PDFs
• Configurable chunk sizes (default: 4000 characters)

📂 File Support

PDF Files

• ✅ Up to 50MB
• ✅ Text extraction with structure preservation
• ✅ Automatic chapter detection

Text Files

• ✅ Up to 1M characters
• ✅ UTF-8 encoding
• ✅ Automatic formatting cleanup

🆕 What's New in v5.0

🔒 Enhanced Security

• Input Sanitization: Prevents code injection and malicious input
• API Key Validation: Comprehensive security checks for OpenAI keys
• Secure Storage: Encrypted API key storage with multiple layers
• Environment Assessment: Automatic security environment analysis

🧪 Comprehensive Testing

• 55+ Unit Tests: Extensive test coverage for core functionality
• 12.6% Code Coverage: Growing test suite with focus on critical paths
• Mocked Services: Fast, reliable tests without external dependencies
• CI/CD Pipeline: Automated testing on every commit

🛡️ Better Error Handling

• Type-Safe Validation: Zod schemas for all configuration and data
• Graceful Failures: Better error messages and recovery mechanisms
• Logging & Monitoring: Detailed error tracking and user feedback

🎯 Developer Experience

• GitHub Actions: Automated CI/CD with security auditing
• ESLint Clean: Zero linting errors with consistent code style
• Documentation: Comprehensive inline documentation and examples

⚙️ Configuration

API Key Storage

Your OpenAI API key is encrypted and stored locally at:

• macOS/Linux: ~/.config/ai-audiobook-maker/config.json
• Windows: %APPDATA%\ai-audiobook-maker\config.json

Cache Location

Voice previews and temporary files:

• macOS/Linux: ~/.config/ai-audiobook-maker/cache/
• Windows: %APPDATA%\ai-audiobook-maker\cache\

Local TTS Installations

Local TTS providers are installed to:

• Fish Speech: ~/.aiabm/fish-speech/
• Thorsten-Voice: ~/.aiabm/thorsten-voice/

🛠️ Troubleshooting

Common Issues

"FFmpeg not found"

# macOS
brew install ffmpeg

# Ubuntu/Debian
sudo apt install ffmpeg

# Windows
# Download from https://ffmpeg.org/download.html

"API key invalid"

• Verify your key at OpenAI Platform
• Use npx aiabm --config to update your key

"File too large"

• PDFs: Maximum 50MB
• Text: Maximum 1M characters
• Split large files before conversion

"Fish Speech dependencies missing"

• Check Python version: python3 --version
• Try restarting the app
• Virtual environment issues usually resolve on restart

"Thorsten-Voice requires Python 3.9-3.11"

• Install compatible Python: brew install python@3.11
• App will automatically detect and use it
• Creates separate virtual environment

Voice preview not playing

• macOS: Uses built-in afplay
• Windows: Uses PowerShell media player
• Linux: Requires ffplay, mpv, vlc, or mplayer

Performance Tips

• Use tts-1 model for faster processing
• Use tts-1-hd for higher quality (slower)
• Local TTS providers are free but slower than cloud
• Cache clears automatically after 30 days
• Resume feature prevents re-processing completed chunks

🔒 Privacy & Security

• API keys are encrypted locally using AES-192
• No data is sent to servers when using local TTS
• OpenAI TTS sends only text chunks to OpenAI servers
• Cache files are stored locally only
• Session data helps resume interrupted conversions
• Local TTS models run entirely offline

📖 Examples

Converting a PDF Book with German Voice

npx aiabm "Mein Roman.pdf"
# Select "Thorsten-Voice"
# Choose German voice
# Enjoy authentic German pronunciation!

Interactive Multilingual Setup

npx aiabm
# Select "Fish Speech"
# Auto-install if needed
# Preview German, English, and French voices
# Choose your favorite for the content language

Quick OpenAI Conversion

npx aiabm document.pdf --voice nova --speed 1.1

🤝 Contributing

Issues and feature requests welcome at: GitHub Issues

📄 License

MIT License - see LICENSE file for details

🙏 Acknowledgments

• Built on OpenAI's TTS API, Fish Speech, and Thorsten-Voice/Coqui TTS
• Fish Speech: https://github.com/fishaudio/fish-speech
• Thorsten-Voice: https://github.com/thorstenMueller/Thorsten-Voice
• Coqui TTS: https://github.com/coqui-ai/TTS
• Uses FFmpeg for audio processing

📝 Changelog

v4.0.7 (2025-08-03) - 🐟 Fish Speech Fully Fixed & Operational

• 🐟 Fish Speech 100% Working - Complete resolution of all Fish Speech TTS issues
• 🔧 Fixed tokenizer.tiktoken - Proper base64 encoding of 32,000 tokens from Fish Speech
• ⚙️ Model Configuration Fixed - Created correct firefly_gan_vq.yaml matching model architecture
• 📐 Dimension Mismatch Resolved - Fixed 512-dim vs 1024-dim PyTorch tensor issues
• ✅ Parameter Validation Fixed - Corrected ServeTTSRequest use_memory_cache format
• 🎯 End-to-End Functionality - Text-to-semantic and decoder models load perfectly
• 🚀 Full Service Availability - Fish Speech now detected as available and operational

v4.0.6 (2025-08-03) - 🧪 Comprehensive Test Coverage & TTS Fixes

• 🧪 Major Test Coverage Improvement - 20% to 45.07% overall coverage (+125% improvement)
• 🎯 AudiobookMaker.js Tests - 0% to 42.58% coverage with integration tests
• 🔐 ConfigManager.js Tests - 0% to 98.03% coverage with security tests
• 📁 FileHandler.js Tests - 0% to 72.99% coverage with core functionality tests
• 🖥️ cli.js Tests - 0% to 75.75% coverage with end-to-end tests
• 🐟 Fish Speech Fixed - Installation detection and availability checking
• 🇩🇪 Thorsten Voice Fixed - Python 3.13 compatibility and installation issues
• 📊 207 Total Tests - 195 passing with comprehensive edge case coverage
• 🔧 Integration Tests - Real-world testing with actual TTS services and PDF processing
• 🛡️ Robust Error Handling - Enhanced service availability validation

v4.0.5 (2025-08-03) - 🎵 Unified Preview System

• 🎵 Unified Preview Texts - Consistent voice previews across all TTS providers
• 🌍 Language-Specific Previews - German, English, and French preview texts
• 💾 Smart Caching - Consistent cache filenames prevent preview regeneration
• 🎯 Voice Language Detection - Automatic language detection from voice names
• 🔄 Cache Optimization - Separate preview cache directories for each provider
• ⚙️ Better Performance - No more regenerating previews when switching providers

v4.0.4 (2025-08-03) - 🛠️ Fish Speech Engine Fix

• 🔧 Fixed TTSInferenceEngine initialization - Use proper ModelManager pattern
• 🏗️ Implemented correct model loading - Load LLaMA and DAC models separately
• 🎯 Auto-device detection - Support for MPS (Apple Silicon), CUDA, and CPU
• 📦 Better model management - Use launch_thread_safe_queue for text-to-semantic
• 🔄 Improved generation flow - Proper model initialization before inference

v4.0.3 (2025-08-03) - 🔧 Fish Speech Import Fix

• 🔧 Fixed MODDED_DAC import - Changed to correct DAC import from inference_engine
• ✅ Added missing torch import - Fixed undefined torch reference in generation script
• 🛠️ Simplified dependency check - Import DAC directly from inference_engine
• 📦 Better module verification - Check ServeTTSRequest schema availability

v4.0.2 (2025-08-03) - 🐟 Fish Speech API Update

• 🔧 Fixed Fish Speech dependency check - Updated to use current DAC-based architecture
• 🗑️ Removed deprecated VQGAN imports - Fish Speech now uses DAC (Descript Audio Codec)
• ✅ Updated generation script - Uses modern TTSInferenceEngine API
• 🔄 Better installation handling - Auto-removes incomplete installations
• 📦 Improved pip install - Installs Fish Speech package in development mode
• 🛠️ Enhanced error reporting - More detailed debugging information

v4.0.1 (2025-08-02) - 🔧 Installation & Compatibility Fixes

• 🔧 Fixed Fish Speech virtual environment usage - Proper dependency checking
• 🐍 Enhanced Python version detection - Blocks Thorsten-Voice on Python 3.13+
• ✅ Smart installation status tracking - Avoids unnecessary re-installations
• 📅 Installation markers - Persistent installation state with version info
• 🔄 Better error handling - More informative error messages and recovery
• 💡 Improved user guidance - Clear instructions for Python compatibility issues

v4.0.0 (2025-08-02) - 🌟 Major Refactoring

• 🗑️ REMOVED: Kyutai TTS (replaced due to Python 3.13 compatibility issues)
• 🐟 NEW: Fish Speech integration - State-of-the-art multilingual TTS
• 🇩🇪 NEW: Thorsten-Voice integration - Native German TTS
• 🎤 Enhanced Voice Selection: 16 total voices across 3 providers
• 🏗️ Automated Installation: One-click setup for local TTS providers
• 🔧 Improved Architecture: Better service abstraction and error handling
• 📊 Enhanced Testing: 80%+ test coverage with Jest
• 🛠️ Code Quality Tools: ESLint, Prettier, Snyk integration
• 🔄 Backward Compatibility: 100% compatibility with existing OpenAI workflows

v3.3.0 (2025-08-01) - 🚀 Kyutai Integration (Deprecated)

• 🆓 Kyutai TTS integration (now removed in v4.0.0)
• 🏗️ Automated installation system
• 🎤 15+ voice options
• 🔄 Provider selection system

Happy listening! 🎧 Turn any text into your personal audiobook library with the best TTS technology available.