NeuraDoc: The Ultimate Document Processing Powerhouse
NeuraDoc is a cutting-edge Python package that parses and transforms various document formats into LLM-ready data, complete with intelligent element classification. Whether you’re processing PDFs, Word files, Excel sheets, or even images, NeuraDoc brings all your content together — efficiently and accurately — for seamless AI/ML integration.
Comprehensive Feature Set
Multi-Format Support
- Versatile Document Parsing:
NeuraDoc supports over 10 different formats including: - PDF (.pdf)
- Microsoft Word (.docx, .doc)
- Plain Text (.txt)
- Microsoft Excel (.xlsx, .xls)
- HTML (.html, .htm)
- XML (.xml)
- Images (.jpg, .jpeg, .png, .gif)
- Microsoft PowerPoint (.pptx, .ppt)
- CSV (.csv)
- JSON (.json)
- Markdown (.md)
Element Extraction & Classification
- Intelligent Extraction:
Extract text, images, tables, diagrams, and code blocks with precision. - Element Classification:
Automatically classify each extracted element by type, ensuring your data is organized for further processing. - Smart Positioning:
Retain and organize the positional context of each element to preserve the document’s logical structure.
LLM Integration
- Tokenized Data:
Convert extracted content into tokenized structures optimized for large language models. - Chunking for Efficiency:
Break down documents into manageable chunks to facilitate prompt engineering and efficient LLM processing.
Memory Efficiency
- Optimized Processing:
Designed to handle large documents without compromising on performance, ensuring fast and reliable parsing.
Optional Dependencies for Enhanced Functionality
- OCR Support:
Extract text from scanned images and PDFs. - Advanced Table Extraction:
Enhance your ability to accurately extract and process table data. - NLP Capabilities:
Integrate natural language processing features for deeper analysis. - Transformer Model Support:
Seamlessly connect with transformer models for advanced processing. - Web Interface:
Easily deploy a user-friendly web interface for document processing.
Installation Made Simple
Basic Installation
Install the core package directly from PyPI:
pip install neuradoc
Installation with Optional Dependencies
Tailor NeuraDoc to your specific needs:
# Install with OCR support
pip install neuradoc[ocr]
# Install with advanced table extraction
pip install neuradoc[tables]
# Install with NLP capabilities
pip install neuradoc[nlp]
# Install with transformer model support
pip install neuradoc[transformers]
# Install with web interface
pip install neuradoc[web]
# Install with all optional dependencies
pip install neuradoc[ocr,tables,nlp,transformers,web]
Quick Start Guide
Basic Usage Example
import neuradoc
# Load and parse a document
doc = neuradoc.load_document("path/to/your/document.pdf")
# Extract all text content
text = doc.get_text_content()
# Extract tables and images
tables = doc.get_tables()
images = doc.get_images()
# Save extracted content in different formats
doc.save("output.json", format="json")
doc.save("output.md", format="markdown")
doc.save("output.txt", format="text")
Advanced Usage Example
import neuradoc
from neuradoc.models.element import ElementType
from neuradoc.transformers.llm_transformer import chunk_document
# Load document
doc = neuradoc.load_document("document.docx")
# Filter elements by type
headings = doc.get_elements_by_type(ElementType.HEADING)
code_blocks = doc.get_elements_by_type(ElementType.CODE)
# Transform document into chunks for LLM processing
chunks = chunk_document(doc, max_chunk_size=1000, overlap=100)
# Process each chunk with your LLM implementation
for chunk in chunks:
print(f"Chunk: {len(chunk)} characters")
Using the Web Interface
NeuraDoc includes a built-in web interface for quick demos and non-technical use:
# Install web dependencies
pip install neuradoc[web]
# Run the web server
python -m neuradoc.web.app
Inspiring Project Ideas
NeuraDoc’s versatility opens up a world of possibilities. Here are some project ideas to spark your creativity:
- Intelligent Document Search Engine:
Build a search engine that parses and indexes various document types. Integrate a vector database to perform semantic searches, making it easier to retrieve contextually relevant information. - Automated Research Paper Summarizer:
Develop a tool that ingests academic papers, extracts key elements, and generates concise summaries, aiding researchers and students in quickly digesting large volumes of literature. - Enterprise Document Management System:
Create a system to manage internal documents such as reports, policies, and regulatory filings. Use NeuraDoc to classify and store document content, ensuring efficient retrieval and compliance tracking. - Chatbot with Document Insights:
Integrate NeuraDoc with a chatbot to provide real-time answers based on company manuals, FAQs, or legal documents. Enhance the chatbot with retrieval-augmented generation (RAG) to ensure accurate and context-aware responses. - Educational Content Generator:
Transform textbooks, lecture notes, and study materials into interactive, digital content. Leverage NeuraDoc to extract and organize educational resources, making learning more engaging and accessible. - Financial Report Analyzer:
Develop a tool that parses annual reports, extracts financial tables and narratives, and generates insightful analyses. This can be particularly useful for investors and financial analysts.
Contributing & Licensing
NeuraDoc is open source and licensed under the MIT License. Contributions are welcome — feel free to fork the repository, submit pull requests, and help evolve this innovative tool.
Conclusion
NeuraDoc is the all-in-one solution for transforming diverse documents into structured, actionable data for modern AI workflows. With its extensive feature set, user-friendly interface, and robust integration capabilities, NeuraDoc is perfect for a wide range of applications — from intelligent search engines and chatbots to enterprise document management systems and beyond.
Embrace the future of document processing with NeuraDoc — where innovation meets practicality, and every document is a gateway to intelligent insights.
Ready to get started?
Install NeuraDoc today:
pip install neuradoc
Explore more and join the community at NeuraDoc on PyPI.