We all have PDFs we need to read—research papers, eBooks, documentation. But let’s face it: reading is time-consuming, and written text is rarely designed for our ears. Book language is often dense, formal, and complex—hard work to listen to compared to natural, spoken conversation.
What if you could bridge that gap? What if you could take a stiff, technical PDF and instantly transform it into a friendly, easy-to-understand audiobook?
That is the core idea behind Book2Ear. This Python tool doesn’t just read text; it rewrites it for you.
How it works:
Input: You provide a PDF book. AI Processing: The code reads the document page-by-page. Using AI (via Anthropic Claude, MiniMax, or local LLMs), it modifies the content to make it listener-friendly. You can choose between Summarization Mode (for quick bullet points) or Audiobook Mode (for full narration). Text Generation: The AI generates a clean text file—a simplified, conversational version of the original content. Audio Conversion: Finally, the tool uses Fish Speech TTS to convert that text file into high-quality audio. The result? You don’t just get a robotic reading of a PDF; you get a polished, easy-to-digest audiobook tailored for human ears.
Book2Ear is an AI-powered pipeline that transforms complex PDFs into accessible audio. It leverages LLMs to simplify dense “book language” into natural scripts and supports Anthropic Claude, MiniMax, and local LLMs for processing.
What You’ll Learn
- How Book2Ear transforms PDFs
- Summary vs audiobook modes
- How to generate audio
- Configuration options
What is Book2Ear?
Book2Ear (AI Book Processor) is a Python tool that processes PDF documents using AI. It can:
- Summarize - Extract 5-8 key bullet points per page
- Audiobook Mode - Transform text into listenable narration scripts
- Generate Audio - Create audio files using Fish Speech TTS
The Vision
Turn any PDF into digestible content—whether you want quick summaries or a full audiobook experience.
Key Features
📄 PDF Summarization
Extract key points from each page:
- 5-8 bullet points per page
- Captures main ideas and key information
- Perfect for quick understanding
🎧 Audiobook Transformation
Convert PDFs into engaging narration scripts:
- Natural language for listening
- Multiple voice styles (conversational, formal, dramatic)
- Context-aware processing
🔊 Text-to-Speech Generation
Generate actual audio files:
- Fish Speech TTS integration
- Voice cloning with reference audio
- Multiple output formats (WAV, MP3, PCM)
- Voice emotions: conversational, formal, dramatic, happy, sad, angry, whispering
🤖 Multiple AI Providers
Choose your AI backend:
- Anthropic Claude - Powerful, intelligent
- MiniMax - Flexible, cost-effective
📖 ⚙️ Flexible Configuration
Customize everything:
- Voice styles
- Context modes
- Page ranges
- Audio formats
Installation
Step 1: Clone and Setup
git clone <repository-url>
cd book2ear
# Create virtual environment
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
Step 2: Install Dependencies
pip install -r requirements.txt
Step 3: Configure API Keys
cp .env.example .env
# Edit .env with your API keys
Add to .env:
ANTHROPIC_API_KEY=your_claude_api_key
MINIMAX_API_KEY=your_minimax_api_key
FISH_TTS_URL=http://127.0.0.1:8080/v1/tts
Usage
List PDFs
python main.py -l
Summarize a PDF
python main.py book.pdf
Audiobook Mode
python main.py book.pdf --mode audiobook
Custom Provider
python main.py book.pdf -p anthropic -m claude-3-5-sonnet-20241022
MiniMax API
python main.py book.pdf -p minimax --mode audiobook --voice-style dramatic
Generating Audio
Setup Fish Speech TTS
# Clone Fish Speech
git clone https://github.com/fishaudio/fish-speech
cd fish-speech
# Download models
python -m tools.download_models
# Start API server
python -m tools.api_server --llama-checkpoint-path checkpoints/openaudio-s1-mini --decoder-checkpoint-path checkpoints/openaudio-s1-mini/codec.pth --device cuda
Generate Audio
# Summary with audio
python main.py book.pdf --mode summary --tts
# Audiobook with audio
python main.py book.pdf --mode audiobook --tts
# With voice style
python main.py book.pdf --mode audiobook --tts --tts-voice-style dramatic
# Voice cloning
python main.py book.pdf --mode audiobook --tts --reference-audio voice_sample.wav
Command Options
Main Options
| Option | Description | Default |
|---|---|---|
file | PDF file to process | Required |
-p, --provider | AI provider | minimax |
-m, --model | Model to use | claude-3-5-sonnet |
--mode | summary or audiobook | summary |
--voice-style | Voice style | conversational |
TTS Options
| Option | Description | Default |
|---|---|---|
--tts | Generate audio | false |
--tts-format | wav/mp3/pcm | wav |
--reference-audio | Voice cloning | none |
--tts-voice-style | Audio emotion | conversational |
Why This is Useful
For Students
Summarize research papers quickly. Get the main points without reading every page.
For Professionals
Process reports, documentation, whitepapers. Extract key insights fast.
For Content Creators
Transform documents into audio. Create content for podcasts or accessibility.
For Accessibility
Turn any PDF into an audiobook. Help those who prefer listening to reading.
Use Cases
1. Research Papers
Summarize academic papers in minutes. Extract key findings without reading full papers.
2. Business Reports
Get bullet-point summaries of lengthy reports. Quick decision-making.
3. Books
Transform chapters into audio. Listen while commuting or exercising.
4. Documentation
Convert technical docs into summaries. Faster onboarding.
Conclusion
Book2Ear transforms how you consume PDF content. Whether you need quick summaries or full audiobooks, AI handles the heavy lifting.
Turn your reading pile into listening content. Save time. Learn faster.
Source Code
View and contribute: Book2Ear on GitLab
Start transforming PDFs today!
Discussion
0 commentsJoin the Discussion
Sign in to post comments and join the conversation.
No comments yet. Be the first to share your thoughts!