🌟 Table Extraction Tool: OCR & Computer Vision for Structured Data

Overview

Features

• 📊 Automatic Table Detection: Effortlessly detect tables in images.
• 📝 OCR-based Document Processing: Extract text with high accuracy.
• 🧠 Integrated Models: Seamlessly combine OCR and table detection models.
• 💾 Flexible Export Options: Export data as DataFrame, HTML, CSV, and more.

Tool Overview

Open-Source Tools Used

• PaddleOCR: For text extraction.
• Hugging Face Table Detection: For table structure detection.

Installation

Prerequisites

• Python 3.8+
• Conda

Setup

1. Clone the Repository
   Clone the repository to your local machine:
   bash

   1git clone https://github.com/Sudhanshu1304/table-transformer.git 2cd table-transformer
2. Create and Activate Conda Environment
   Create a new conda environment and activate it:
   bash

   1conda create --name myenv python=3.12.7 2conda activate myenv
3. Install PaddlePaddle
   Install PaddlePaddle in the conda environment:
   python -m pip install paddlepaddle==3.0.0rc1 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
4. Install PaddleOCR
   Install PaddleOCR:
   pip install paddleocr
5. Install Additional Dependencies
   Install other required packages:
   bash

   1pip install ultralytics pandas 2pip install streamlit

Project Structure

project/
├── src/
│   ├── streamlit_app.py       # Streamlit application
│   ├── table_creator/
│   │   └── processing.py      # Core processing logic
│   ├── models/
│   │   └── text.py            # table detection and text recognition
│
├── requirements.txt           # Dependencies
├── README.md                  # Project documentation
└── .gitignore                 # Git ignore configuration

Usage

Contributions

License

Connect with Us

• GitHub: Sudhanshu1304
• LinkedIn: Sudhanshu Pandey
• Medium: @sudhanshu.dpandey

Support