# Tabledetector
[](https://pypi.org/project/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
```bash
conda create -n <env_name> python=3.7
conda activate <env_name>
```
## Installation of package using pip
```bash
pip install tabledetector
```
## Clone the repository for latest development release
```bash
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:
```bash
import tabledetector as td
result = td.detect(pdf_path="pdf_path", method="bordered")
```
For semibordered table detection:
```bash
import tabledetector as td
result = td.detect(pdf_path="pdf_path", method="semibordered")
```
For unbordered table detection:
```bash
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.
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"description": "# Tabledetector\r\n\r\n[](https://pypi.org/project/tabledetector/)\r\n\r\nTabledetector 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.\r\n\r\n## Features\r\n\r\n- **PDF Input:** Accepts PDF/Image files as input for table detection.\r\n- **Alignment Check:** Verifies and adjusts alignment of input.\r\n- **Table Detection:** Identifies bordered, semibordered and unbordered tables in the PDF/Image File.\r\n- **Table Extraction:** Extract the tabular data in the form of dataframe.\r\n\r\n## Libraries Used\r\n\r\n- Python 3.x\r\n- OpenCV\r\n- NumPy\r\n- pdf2image\r\n- Pillow\r\n- scipy\r\n- jinja2\r\n- easyocr\r\n- pandas\r\n\r\n## Create and Activate Environment\r\n```bash\r\nconda create -n <env_name> python=3.7\r\nconda activate <env_name>\r\n```\r\n## Installation of package using pip\r\n\r\n```bash\r\npip install tabledetector\r\n```\r\n\r\n## Clone the repository for latest development release\r\n\r\n```bash\r\ngit clone https://github.com/rajban94/TableDetector.git\r\n```\r\n\r\n## Dependency\r\nTo utilize this library on Windows, ensure that Poppler is installed and its path is added to the environment variables.\r\n\r\n## Usage\r\nFor bordered table detection:\r\n```bash\r\nimport tabledetector as td\r\nresult = td.detect(pdf_path=\"pdf_path\", method=\"bordered\")\r\n```\r\n\r\nFor semibordered table detection:\r\n```bash\r\nimport tabledetector as td\r\nresult = td.detect(pdf_path=\"pdf_path\", method=\"semibordered\")\r\n```\r\n\r\nFor unbordered table detection:\r\n```bash\r\nimport tabledetector as td\r\nresult = td.detect(pdf_path=\"pdf_path\", method=\"unbordered\")\r\n```\r\nIf no method is mentioned in that case it will check for all the methods and will provide the result accordingly.\r\n",
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