CLI tool for page-by-page PDF book analysis
Top 28.0% on sourcepulse
This script automates the extraction of knowledge points and generation of progressive summaries from PDF books, page by page. It's designed for researchers, students, and anyone needing to distill large volumes of text into digestible insights, offering a structured approach to understanding and retaining information from documents.
How It Works
The core of the script involves an iterative page-by-page processing loop. For each page, it leverages an AI model (specified by MODEL
and ANALYSIS_MODEL
constants, likely OpenAI) to analyze the content, identify key knowledge points, and filter out irrelevant sections like tables of contents. Extracted knowledge is stored persistently in a JSON file, allowing for resume capabilities. Interval summaries are generated at configurable page counts (ANALYSIS_INTERVAL
), and a final, comprehensive summary is produced upon completion.
Quick Start & Requirements
pip install -r requirements.txt
PDF_NAME
in read_books.py
.python read_books.py
OpenAI
client is used).Highlighted Details
Maintenance & Community
The project is maintained by echohive42, who also promotes a community with over 400 AI projects and a "1000x Cursor Course." Support is available via Patreon.
Licensing & Compatibility
The repository does not explicitly state a license in the provided README. Compatibility for commercial use or closed-source linking is not specified.
Limitations & Caveats
The script relies heavily on external AI models, primarily OpenAI, necessitating API access and associated costs. The effectiveness of knowledge extraction and summarization is dependent on the quality of the AI model used and the clarity of the PDF content. No specific PDF parsing libraries are mentioned, which could be a point of failure for complex or image-heavy PDFs.
6 months ago
Inactive