AI Table Reader

AI Table Reader is a web application built with Next.js that allows users to upload images, detect table structures within those images, and extract table data using Tesseract.js for OCR and OpenCV.js for image processing.

Features

• Image Upload: Users can upload images containing tables.
• Table Detection: Uses OpenCV.js to detect table structures within the image.
• Text Extraction: Uses Tesseract.js to extract text from the detected tables.
• Table Display: Extracted table data is displayed in a HTML table format.

Technologies Used

• Next.js: React framework for building server-side rendered applications.
• Tesseract.js: JavaScript OCR library.
• OpenCV.js: JavaScript version of OpenCV for image processing.

Getting Started

Prerequisites

Make sure you have Node.js installed.

Installation

1. Clone the repository:

   git clone https://github.com/Fnighty/ai-table-reader.git
   cd ai-table-reader

2. Install dependencies:

   npm install

3. Run the development server:

   npm run dev

Usage

1. Upload an Image:

   On the homepage, click the "Choose File" button and upload an image containing a table.

2. Process the Image:

   The application will automatically process the image to detect table structures and extract text.

3. View Extracted Table Data:

   Extracted table data will be displayed in a HTML table format below the uploaded image.

Project Structure

The project structure is organized as follows:

• README.md: Project overview and instructions.
• app/page.tsx: Main HTML file for the application.
• app/globals.css: CSS file for styling the application.
• components/ImageUpload.js: JavaScript file for handling image upload and processing.

License

This project is licensed under the MIT License - see the LICENSE file for details.