Book2Ear: Transform PDFs into AI Summaries and Audiobooks

Book2Ear transforms PDF documents into summaries or audiobooks using AI. Get bullet-point summaries, create narration scripts, and generate audio with Fish Speech TTS. Powered by Claude and MiniMax APIs.

Rafi
Written by Rafi
📅
Published November 16, 2025
⏱️
Read Time 2 min
📊
Difficulty Intermediate

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.

ℹ️ Info

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:

  1. Summarize - Extract 5-8 key bullet points per page
  2. Audiobook Mode - Transform text into listenable narration scripts
  3. 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

OptionDescriptionDefault
filePDF file to processRequired
-p, --providerAI providerminimax
-m, --modelModel to useclaude-3-5-sonnet
--modesummary or audiobooksummary
--voice-styleVoice styleconversational

TTS Options

OptionDescriptionDefault
--ttsGenerate audiofalse
--tts-formatwav/mp3/pcmwav
--reference-audioVoice cloningnone
--tts-voice-styleAudio emotionconversational

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!

Knowledge Check

Test your knowledge about Book2Ear

Discussion

0 comments
Reading Progress
4 min left 0%
Welcome back! Sign in to join the discussion.

Please verify your email to sign in.

Enter the 6-digit code from your verification email.

Didn't receive the email?

Remember your password?

Create an account to comment and join the community.
Letters, numbers, and underscores only

Check your email! We've sent a verification code.

Enter the 6-digit code to complete your registration, or click the link in your email.

Didn't receive the email?

Wrong email?

Enter your email address and we'll send you a code to reset your password.

Remember your password?

Enter the 6-digit code from your email and create a new password.

Didn't receive code?

Welcome aboard!

Your account has been created successfully.

Welcome back! Sign in to join the discussion.

Please verify your email to sign in.

Enter the 6-digit code from your verification email.

Didn't receive the email?

Remember your password?

Create an account to comment and join the community.
Letters, numbers, and underscores only

Check your email! We've sent a verification code.

Enter the 6-digit code to complete your registration, or click the link in your email.

Didn't receive the email?

Wrong email?

Enter your email address and we'll send you a code to reset your password.

Remember your password?

Enter the 6-digit code from your email and create a new password.

Didn't receive code?

Welcome aboard!

Your account has been created successfully.