tabledetector 1.0.1

End-to-End table structure detector

Tabledetector

Tabledetector is a Python package that takes PDFs or Images as input, checks the alignment, re-aligns if required, detects the table structure, extracts data, return as pandas dataframe for further use. The current implementation focuses on bordered, semibordered and unbordered table structures.

Features

• PDF Input: Accepts PDF/Image files as input for table detection.
• Alignment Check: Verifies and adjusts alignment of input.
• Table Detection: Identifies bordered, semibordered and unbordered tables in the PDF/Image File.
• Table Extraction: Extract the tabular data in the form of dataframe.

Libraries Used

• Python 3.x
• OpenCV
• NumPy
• pdf2image
• Pillow
• scipy
• jinja2
• easyocr
• pandas

Create and Activate Environment

conda create -n <env_name> python=3.7
conda activate <env_name>

Installation of package using pip

pip install tabledetector

Clone the repository for latest development release

git clone https://github.com/rajban94/TableDetector.git

Dependency

To utilize this library on Windows, ensure that Poppler is installed and its path is added to the environment variables.

Usage

For bordered table detection:

import tabledetector as td
result = td.detect(pdf_path="pdf_path", method="bordered")

For semibordered table detection:

import tabledetector as td
result = td.detect(pdf_path="pdf_path", method="semibordered")

For unbordered table detection:

import tabledetector as td
result = td.detect(pdf_path="pdf_path", method="unbordered")

If no method is mentioned in that case it will check for all the methods and will provide the result accordingly.